From 35fc330a44ee43c58cd915dce12a5260282bb434 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 13 Dec 2023 18:10:55 -0500 Subject: [PATCH 001/149] remove unused variables --- R/g.readaccfile.R | 22 +++++++++------------- 1 file changed, 9 insertions(+), 13 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 5e642df13..ed897159c 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -38,7 +38,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # endpage and the blocksize. if (blocknumber != 1 & length(PreviousEndPage) != 0) { # if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$CSV) { # change this line as the csv data do not need to skip one more row (the skip argument in read.csv does not include this row of the dataset) - if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) | dformat == FORMAT$GT3X) { + if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$GT3X) { # only in GENEActiv binary data and for gt3x format data # page selection is defined from start to end (including end) startpage = PreviousEndPage + 1 @@ -68,7 +68,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, switchoffLD = 1 #last block } } - if (length(P) == 0) { #if first block doens't read then probably corrupt + if (length(P) == 0) { # if first block isn't read then probably corrupt if (blocknumber == 1) { #try to read without specifying blocks (file too short) try(expr = { @@ -119,17 +119,13 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, loadGENEActiv = params_rawdata[["loadGENEActiv"]])}) # detect dot or comma dataformat options(warn = 0) #turn on warnings - testheader = quiet(as.data.frame(data.table::fread(filename, nrows = 2, skip = 10, - dec = decn, showProgress = FALSE, - header = TRUE), - stringsAsFactors = FALSE)) - if (suppressWarnings(is.na(as.numeric(colnames(testheader)[1]))) == FALSE) { # it has no header, first value is a number - freadheader = FALSE - } else { # it has a header, first value is a character - freadheader = TRUE - headerlength = 11 - # skip 1 more row only in the case the file has a header, only in the first chunk of data (when the header needs to be skipped) - if (blocknumber == 1) { + # skip 1 more row only if the file has a header. Only the first chunk of data can have a header. + if (blocknumber == 1) { + testheader = quiet(as.data.frame(data.table::fread(filename, nrows = 2, skip = 10, + dec = decn, showProgress = FALSE, + header = TRUE), + stringsAsFactors = FALSE)) + if (suppressWarnings(is.na(as.numeric(colnames(testheader)[1])))) { # first value is *not* a number, so file starts with a header startpage = startpage + 1 endpage = endpage + 1 } From 6a677474eda4dd8ac3cc4df41e194f924b3ba7e5 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 13 Dec 2023 18:12:00 -0500 Subject: [PATCH 002/149] don't crash if get to end of csv file before encountering a non-0 number --- R/g.dotorcomma.R | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/R/g.dotorcomma.R b/R/g.dotorcomma.R index 7894c2bfb..2668de8b0 100644 --- a/R/g.dotorcomma.R +++ b/R/g.dotorcomma.R @@ -26,15 +26,18 @@ g.dotorcomma = function(inputfile, dformat, mon, desiredtz = "", loadGENEActiv = # lot of zeros, which makes it impossible to detect decimal separator # "." will then be the default, which is not correct for "," systems. while (skiprows < 1000000) { #foundnonzero == FALSE & - deci = as.matrix(read.csv(inputfile, skip = skiprows, nrow = 10)) + tmp = try(expr = {as.matrix(read.csv(inputfile, skip = skiprows, nrow = 10))}, silent = TRUE) + if (inherits(tmp, "try-error")) break # nothing left in the file to read + deci = tmp + skiprows = skiprows + 10000 if (length(unlist(strsplit(as.character(deci[2,2]), ","))) > 1) { decn = "," - break() + break } numtemp = as.numeric(deci[2,2]) if (is.na(numtemp) == FALSE) { - if (numtemp != 0) break() + if (numtemp != 0) break } } if (!exists("deci")) stop("Problem with reading .csv file in GGIR function dotorcomma") From 40ae3ef55ecde91fd49fb95df4e417cffc58c650 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 13 Dec 2023 18:13:41 -0500 Subject: [PATCH 003/149] use correct actigraph csv test file for testing g.inspectfile and g.readaccfile --- tests/testthat/test_greadaccfile.R | 36 ++++++++++++++++++++---------- 1 file changed, 24 insertions(+), 12 deletions(-) diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index ffd457488..06dc0a30a 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -3,22 +3,36 @@ context("g.readaccfile") test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv files correctly", { skip_on_cran() + desiredtz = "Europe/London" + params_rawdata = list(frequency_tol = 0.1, interpolationType = 1, + desiredtz = "Europe/London", configtz = "Europe/London") + + filequality = list(filecorrupt = FALSE, filetooshort = FALSE) + dayborder = 0 + cat("\nActigraph .csv") - for (filename in c("ActiGraph13.csv", "ActiGraph61.csv")) { - csvfile = system.file(paste0("testfiles/", filename), package = "GGIR")[1] - Icsv = g.inspectfile(csvfile, desiredtz = "Europe/London") - expect_equal(Icsv$monc, MONITOR$ACTIGRAPH) - expect_equal(Icsv$dformc, FORMAT$CSV) - } + create_test_acc_csv() + filename = "123A_testaccfile.csv" + on.exit(if (file.exists(filename)) file.remove(filename)) + + Icsv = g.inspectfile(filename, desiredtz = desiredtz) + expect_equal(Icsv$monc, MONITOR$ACTIGRAPH) + expect_equal(Icsv$dformc, FORMAT$CSV) + + csv_read = g.readaccfile(filename, blocksize = 10, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = 1, inspectfileobject = Icsv, + params_rawdata = params_rawdata) + expect_equal(nrow(csv_read$P), 3000) + expect_false(csv_read$filequality$filecorrupt) + expect_false(csv_read$filequality$filetooshort) + expect_equal(sum(csv_read$P), 3151.11, tolerance = .01, scale = 1) cwafile = system.file("testfiles/ax3_testfile.cwa", package = "GGIRread")[1] GAfile = system.file("testfiles/GENEActiv_testfile.bin", package = "GGIRread")[1] gt3xfile = system.file("testfiles/actigraph_testfile.gt3x", package = "GGIR")[1] - desiredtz = "Europe/London" - params_rawdata = list(frequency_tol = 0.1, interpolationType = 1, - desiredtz = "Europe/London", configtz = "Europe/London") cat("\nActigraph .gt3x") # actigraph .gt3x Igt3x = g.inspectfile(gt3xfile, desiredtz = desiredtz) @@ -63,11 +77,9 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv expect_equal(decn,".") decn = g.dotorcomma(GAfile, dformat = FORMAT$BIN, mon = MONITOR$GENEACTIV, desiredtz = desiredtz) expect_equal(decn,".") - filequality = list(filecorrupt = FALSE, filetooshort = FALSE) - dayborder = 0 cwa_read = g.readaccfile(cwafile, blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder,ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, PreviousEndPage = 1, inspectfileobject = Icwa, params_rawdata = params_rawdata) GA_read = g.readaccfile(GAfile, blocksize = 2, blocknumber = 1, filequality = filequality, From 8d9f29ab1ec28d9b374898bee959499baf3d3d66 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 13 Dec 2023 22:23:05 -0500 Subject: [PATCH 004/149] simplify blocksize handling --- R/g.readaccfile.R | 42 +++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index ed897159c..e3e7832b2 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -52,10 +52,16 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, endpage = startpage + deltapage return(list(startpage = startpage, endpage = endpage)) } + + if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || + (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) || + (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV)) { + blocksize = blocksize * 300 + } + if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { startpage = blocksize * (blocknumber - 1) + 1 # GENEActiv starts with page 1 - deltapage = blocksize - UPI = updatepageindexing(startpage = startpage, deltapage = deltapage, + UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) startpage = UPI$startpage; endpage = UPI$endpage @@ -94,9 +100,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { headerlength = 10 #-------------- - startpage = (headerlength + (blocksize * 300 * (blocknumber - 1))) - deltapage = blocksize * 300 - UPI = updatepageindexing(startpage = startpage, deltapage = deltapage, + startpage = headerlength + (blocksize * (blocknumber - 1)) + UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) startpage = UPI$startpage; endpage = UPI$endpage @@ -134,7 +139,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, #-------------- try(expr = { P = quiet(as.data.frame( - data.table::fread(filename, nrows = deltapage, + data.table::fread(filename, nrows = blocksize, skip = startpage, dec = decn, showProgress = FALSE, header = FALSE), # header should always be FALSE to prevent that acceleration values are taken as header when reading chunks 2 onwards stringsAsFactors = TRUE)) @@ -186,8 +191,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } startpage = blocksize * (blocknumber - 1) - deltapage = blocksize - UPI = updatepageindexing(startpage = startpage, deltapage = deltapage, + UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) startpage = UPI$startpage; endpage = UPI$endpage P = apply_readAxivity(bstart = startpage, bend = endpage) @@ -253,15 +257,14 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) { freadheader = FALSE headerlength = 0 - startpage = (headerlength + (blocksize * 300 * (blocknumber - 1))) - deltapage = (blocksize*300) - UPI = updatepageindexing(startpage = startpage, deltapage = deltapage, + startpage = (headerlength + (blocksize * (blocknumber - 1))) + UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) startpage = UPI$startpage; endpage = UPI$endpage try(expr = { P = as.data.frame( - data.table::fread(filename, nrows = deltapage, + data.table::fread(filename, nrows = blocksize, skip = startpage, dec = decn, showProgress = FALSE, header = freadheader), stringsAsFactors = TRUE) @@ -271,7 +274,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = c() ; switchoffLD = 1 #added 30-6-2012 filequality$filetooshort = TRUE } - if (nrow(P) < (deltapage)) { #last block + if (nrow(P) < (blocksize)) { #last block switchoffLD = 1 } # resample the acceleration data, because AX3 data is stored at irregular time points @@ -299,8 +302,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } else if (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN) { startpage = blocksize * (blocknumber - 1) + 1 - deltapage = blocksize - UPI = updatepageindexing(startpage = startpage, deltapage = deltapage, + UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) startpage = UPI$startpage; endpage = UPI$endpage file_length = unisensR::getUnisensSignalSampleCount(dirname(filename), "acc.bin") @@ -319,8 +321,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { startpage = blocksize * (blocknumber - 1) + 1 - deltapage = blocksize - UPI = updatepageindexing(startpage = startpage, deltapage = deltapage, + UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) startpage = UPI$startpage; endpage = UPI$endpage P = try(expr = {as.data.frame(read.gt3x::read.gt3x(path = filename, batch_begin = startpage, @@ -336,14 +337,13 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } # If data passes these checks then it is usefull } } else if (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV) { # user-specified csv format - startpage = (1 + (blocksize * 300 * (blocknumber - 1))) - deltapage = (blocksize*300) - UPI = updatepageindexing(startpage = startpage,deltapage = deltapage, + startpage = blocksize * (blocknumber - 1) + 1 + UPI = updatepageindexing(startpage = startpage,deltapage = blocksize, blocknumber = blocknumber,PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) startpage = UPI$startpage; endpage = UPI$endpage try(expr = {P = read.myacc.csv(rmc.file = filename, - rmc.nrow = deltapage, rmc.skip = startpage, + rmc.nrow = blocksize, rmc.skip = startpage, rmc.dec = params_rawdata[["rmc.dec"]], rmc.firstrow.acc = params_rawdata[["rmc.firstrow.acc"]], rmc.firstrow.header = params_rawdata[["rmc.firstrow.header"]], From e2c54cd85e265bbff6965dc088b94ee780c26c2f Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 13 Dec 2023 23:17:14 -0500 Subject: [PATCH 005/149] up-to-date documentation is in g.readaccfile.Rd --- R/g.readaccfile.R | 6 ------ 1 file changed, 6 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index e3e7832b2..21fb25a8a 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -16,12 +16,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, params_rawdata = params$params_rawdata params_general = params$params_general } - # function wrapper to read blocks of accelerationd data from various brands - # the code identifies which accelerometer brand and data format it is - # blocksize = number of pages to read at once - # blocknumber = block count relative to beginning of measurement - # sf = sample frequency (Hertz) - # ws = large window size (default 3600 seconds) switchoffLD = 0 I = inspectfileobject From 740310d6395a1c11316cefe421a64aa78dffbf25 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 17 Dec 2023 23:09:00 -0500 Subject: [PATCH 006/149] simplify readaccfile --- R/g.readaccfile.R | 98 +++++++++++++++++------------------------------ 1 file changed, 35 insertions(+), 63 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 21fb25a8a..88f1806b2 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -24,41 +24,44 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, dformat = I$dformc sf = I$sf - P = c() - updatepageindexing = function(startpage = c(), deltapage = c(), blocknumber = c(), PreviousEndPage = c(), - mon = c(), dformat = c()) { - # This function ensures that startpage is only specified for blocknumber 1. - # The next time (blocknumber > 1) the startpage will be derived from the previous - # endpage and the blocksize. - if (blocknumber != 1 & length(PreviousEndPage) != 0) { - # if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$CSV) { # change this line as the csv data do not need to skip one more row (the skip argument in read.csv does not include this row of the dataset) - if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$GT3X) { - # only in GENEActiv binary data and for gt3x format data - # page selection is defined from start to end (including end) - startpage = PreviousEndPage + 1 - } else { - # for other monitor brands and data formats - # page selection is defined from start to end (excluding end itself) - # so start page of one block equals the end page of previous block - startpage = PreviousEndPage - } - } - endpage = startpage + deltapage - return(list(startpage = startpage, endpage = endpage)) - } - if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) || - (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV)) { + dformat == FORMAT$AD_HOC_CSV) { blocksize = blocksize * 300 } - if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { - startpage = blocksize * (blocknumber - 1) + 1 # GENEActiv starts with page 1 - UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, - blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) - startpage = UPI$startpage; endpage = UPI$endpage - + startpage = blocksize * (blocknumber - 1) + + if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || + (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN) || + dformat == FORMAT$GT3X || + dformat == FORMAT$AD_HOC_CSV) { + startpage = startpage + 1 # pages are numbered starting with page 1 + } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { + headerlength = 10 + startpage = startpage + headerlength + } + + # startpage should only be specified for blocknumber 1. + # The next time (blocknumber > 1) the startpage will be derived from the previous + # endpage and the blocksize. + if (blocknumber != 1 && length(PreviousEndPage) != 0) { + if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$GT3X) { + # only in GENEActiv binary data and for gt3x format data + # page selection is defined from start to end (including end) + startpage = PreviousEndPage + 1 + } else { + # for other monitor brands and data formats + # page selection is defined from start to end (excluding end itself) + # so start page of one block equals the end page of previous block + startpage = PreviousEndPage + } + } + endpage = startpage + blocksize + + P = c() + + if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { try(expr = {P = GGIRread::readGENEActiv(filename = filename, start = startpage, end = endpage, desiredtz = params_general[["desiredtz"]], configtz = params_general[["configtz"]])}, silent = TRUE) @@ -91,14 +94,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } #=============== - } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { - headerlength = 10 - #-------------- - startpage = headerlength + (blocksize * (blocknumber - 1)) - UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, - blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) - startpage = UPI$startpage; endpage = UPI$endpage - + } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { # load rows 11:13 to investigate whether the file has a header # invisible because R complains about poor Actigraph file format, # this is an an ActiGraph problem not a GGIR problem, so we ignore it @@ -184,10 +180,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } - startpage = blocksize * (blocknumber - 1) - UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, - blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) - startpage = UPI$startpage; endpage = UPI$endpage P = apply_readAxivity(bstart = startpage, bend = endpage) if (length(P) > 1) { # data reading succesful if (length(P$data) == 0) { # too short? @@ -249,18 +241,11 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) { - freadheader = FALSE - headerlength = 0 - startpage = (headerlength + (blocksize * (blocknumber - 1))) - UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, - blocknumber = blocknumber, - PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) - startpage = UPI$startpage; endpage = UPI$endpage try(expr = { P = as.data.frame( data.table::fread(filename, nrows = blocksize, skip = startpage, - dec = decn, showProgress = FALSE, header = freadheader), + dec = decn, showProgress = FALSE, header = FALSE), stringsAsFactors = TRUE) }, silent = TRUE) if (length(P) > 1) { @@ -295,10 +280,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = c() } } else if (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN) { - startpage = blocksize * (blocknumber - 1) + 1 - UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, - blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) - startpage = UPI$startpage; endpage = UPI$endpage file_length = unisensR::getUnisensSignalSampleCount(dirname(filename), "acc.bin") if (endpage > file_length) { endpage = file_length @@ -314,10 +295,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, filequality$filetooshort = TRUE } } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { - startpage = blocksize * (blocknumber - 1) + 1 - UPI = updatepageindexing(startpage = startpage, deltapage = blocksize, - blocknumber = blocknumber, PreviousEndPage = PreviousEndPage, mon = mon, dformat = dformat) - startpage = UPI$startpage; endpage = UPI$endpage P = try(expr = {as.data.frame(read.gt3x::read.gt3x(path = filename, batch_begin = startpage, batch_end = endpage,asDataFrame = TRUE))}, silent = TRUE) if (length(P) == 0 | inherits(P, "try-error") == TRUE) { # too short or not data at all @@ -331,11 +308,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } # If data passes these checks then it is usefull } } else if (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV) { # user-specified csv format - startpage = blocksize * (blocknumber - 1) + 1 - UPI = updatepageindexing(startpage = startpage,deltapage = blocksize, - blocknumber = blocknumber,PreviousEndPage = PreviousEndPage, - mon = mon, dformat = dformat) - startpage = UPI$startpage; endpage = UPI$endpage try(expr = {P = read.myacc.csv(rmc.file = filename, rmc.nrow = blocksize, rmc.skip = startpage, rmc.dec = params_rawdata[["rmc.dec"]], From 525e4b7ac028b8814c716e66b1d2c1489ae17b7f Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 18 Dec 2023 13:00:51 -0500 Subject: [PATCH 007/149] clean up if() conditions this is minor, but with && conditions are only evaluated till the first failure, so this gets rid of unnecessary computation for blocks after the 1st one. --- R/g.readaccfile.R | 24 +++++++++++++----------- 1 file changed, 13 insertions(+), 11 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 88f1806b2..294550fef 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -17,7 +17,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, params_general = params$params_general } - switchoffLD = 0 I = inspectfileobject mon = I$monc if (mon == MONITOR$VERISENSE) mon = MONITOR$ACTIGRAPH @@ -60,6 +59,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, endpage = startpage + blocksize P = c() + switchoffLD = 0 if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { try(expr = {P = GGIRread::readGENEActiv(filename = filename, start = startpage, @@ -88,7 +88,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } if (length(P) > 0) { #check whether there is enough data - if (nrow(P$data.out) < ((sf * ws * 2) + 1) & blocknumber == 1) { + if (blocknumber == 1 && nrow(P$data.out) < (sf * ws * 2 + 1)) { P = c(); switchoffLD = 1 filequality$filetooshort = TRUE } @@ -141,7 +141,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } else { P = data.matrix(P[, 2:ncol(P)]) # avoid timestamp column } - if (nrow(P) < ((sf * ws * 2) + 1) & blocknumber == 1) { + if (blocknumber == 1 && nrow(P) < (sf * ws * 2 + 1)) { P = c() ; switchoffLD = 1 filequality$filetooshort = TRUE } @@ -186,7 +186,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = c() ; switchoffLD = 1 if (blocknumber == 1) filequality$filetooshort = TRUE } else { - if (nrow(P$data) < ((sf * ws * 2) + 1)) { + if (nrow(P$data) < (sf * ws * 2 + 1)) { P = c() ; switchoffLD = 1 if (blocknumber == 1) filequality$filetooshort = TRUE } @@ -219,7 +219,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = c() ; switchoffLD = 1 if (blocknumber == 1) filequality$filetooshort = TRUE } else { - if (nrow(P$data) < ((sf * ws * 2) + 1)) { + if (nrow(P$data) < (sf * ws * 2 + 1)) { P = c() ; switchoffLD = 1 if (blocknumber == 1) filequality$filetooshort = TRUE } else { @@ -249,7 +249,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, stringsAsFactors = TRUE) }, silent = TRUE) if (length(P) > 1) { - if (nrow(P) < ((sf * ws * 2) + 1) & blocknumber == 1) { + if (blocknumber == 1 && nrow(P) < (sf * ws * 2 + 1)) { P = c() ; switchoffLD = 1 #added 30-6-2012 filequality$filetooshort = TRUE } @@ -289,7 +289,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, startIndex = startpage, endIndex = endpage) P = as.matrix(P) - if (nrow(P) < ((sf * ws * 2) + 1) & blocknumber == 1) { + if (blocknumber == 1 && nrow(P) < (sf * ws * 2 + 1)) { P = c() switchoffLD = 1 filequality$filetooshort = TRUE @@ -299,10 +299,12 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, batch_end = endpage,asDataFrame = TRUE))}, silent = TRUE) if (length(P) == 0 | inherits(P, "try-error") == TRUE) { # too short or not data at all P = c() ; switchoffLD = 1 - if (blocknumber == 1) filequality$filetooshort = TRUE - if (blocknumber == 1) filequality$filecorrupt = TRUE + if (blocknumber == 1) { + filequality$filetooshort = TRUE + filequality$filecorrupt = TRUE + } } else { - if (nrow(P) < ((sf * ws * 2) + 1)) { + if (nrow(P) < (sf * ws * 2 + 1)) { P = c() ; switchoffLD = 1 if (blocknumber == 1) filequality$filetooshort = TRUE } # If data passes these checks then it is usefull @@ -346,7 +348,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if (length(sf) == 0) sf = params_rawdata[["rmc.sf"]] if (length(P) == 4) { # added PreviousLastValue and PreviousLastTime as output of read.myacc.csv # P = as.matrix(P) # turned off 21-5-2019 - if (nrow(P$data) < ((sf * ws * 2) + 1) & blocknumber == 1) { + if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { P = c() ; switchoffLD = 1 #added 30-6-2012 filequality$filetooshort = TRUE } From ecb3e9b1ca05c6d96f85afe4921e1fe19b15934d Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 18 Dec 2023 22:07:48 -0500 Subject: [PATCH 008/149] data.table::fread returns a data frame if data.table=FALSE --- R/g.readaccfile.R | 25 +++++++++++-------------- 1 file changed, 11 insertions(+), 14 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 294550fef..bbfecc73e 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -116,10 +116,9 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # skip 1 more row only if the file has a header. Only the first chunk of data can have a header. if (blocknumber == 1) { - testheader = quiet(as.data.frame(data.table::fread(filename, nrows = 2, skip = 10, - dec = decn, showProgress = FALSE, - header = TRUE), - stringsAsFactors = FALSE)) + testheader = quiet(data.table::fread(filename, nrows = 2, skip = 10, + dec = decn, showProgress = FALSE, + header = TRUE, data.table=FALSE, stringsAsFactors=FALSE)) if (suppressWarnings(is.na(as.numeric(colnames(testheader)[1])))) { # first value is *not* a number, so file starts with a header startpage = startpage + 1 endpage = endpage + 1 @@ -128,11 +127,10 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, #-------------- try(expr = { - P = quiet(as.data.frame( - data.table::fread(filename, nrows = blocksize, - skip = startpage, - dec = decn, showProgress = FALSE, header = FALSE), # header should always be FALSE to prevent that acceleration values are taken as header when reading chunks 2 onwards - stringsAsFactors = TRUE)) + P = quiet(data.table::fread(filename, nrows = blocksize, skip = startpage, + dec = decn, showProgress = FALSE, + header = FALSE, # header should always be FALSE to prevent that acceleration values are taken as header when reading chunks 2 onwards + data.table=FALSE, stringsAsFactors=TRUE)) }, silent = TRUE) if (length(P) > 1) { # data.matrix turnes num to char if there are missing values. @@ -242,11 +240,10 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) { try(expr = { - P = as.data.frame( - data.table::fread(filename, nrows = blocksize, - skip = startpage, - dec = decn, showProgress = FALSE, header = FALSE), - stringsAsFactors = TRUE) + P = data.table::fread(filename, nrows = blocksize, + skip = startpage, + dec = decn, showProgress = FALSE, header = FALSE, + data.table=FALSE, stringsAsFactors = TRUE) }, silent = TRUE) if (length(P) > 1) { if (blocknumber == 1 && nrow(P) < (sf * ws * 2 + 1)) { From 4109b836b1fdb292020a284ad21b3335cb8a31ce Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 18 Dec 2023 22:10:44 -0500 Subject: [PATCH 009/149] standardize output names --- R/g.calibrate.R | 2 +- R/g.getmeta.R | 2 +- R/g.getstarttime.R | 2 +- R/g.readaccfile.R | 7 +++++-- tests/testthat/test_greadaccfile.R | 2 +- 5 files changed, 9 insertions(+), 6 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index f6888696c..93db09f8d 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -122,7 +122,7 @@ g.calibrate = function(datafile, params_rawdata = c(), #process data as read from binary file if (length(P) > 0) { #would have been set to zero if file was corrupt or empty if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { - data = P$data.out + data = P$data } else if (dformat == FORMAT$CSV || mon == MONITOR$MOVISENS) { data = as.matrix(P) } else if (dformat == FORMAT$CWA) { diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 02da72e2d..5a94e7607 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -267,7 +267,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), if (length(P) > 0) { #would have been set to zero if file was corrupt or empty if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { - data = P$data.out + data = P$data } else if (dformat == FORMAT$CSV) { #csv (Actigraph or ad-hoc csv format) if (params_rawdata[["imputeTimegaps"]] == TRUE) { P = as.data.frame(P) diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index f3149ab67..e92afd7e6 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -5,7 +5,7 @@ g.getstarttime = function(datafile, P, header, mon, dformat, desiredtz, configtz starttime = P$data[1,1] starttime = as.POSIXlt(starttime, tz = desiredtz, origin = "1970-01-01") } else if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { - starttime = as.POSIXlt(P$data.out$time[1], tz = desiredtz, origin = "1970-01-01") + starttime = as.POSIXlt(P$data$time[1], tz = desiredtz, origin = "1970-01-01") } else if (dformat == FORMAT$CSV && (mon == MONITOR$ACTIGRAPH || mon == MONITOR$AXIVITY || mon == MONITOR$VERISENSE)) { if (mon == MONITOR$ACTIGRAPH || mon == MONITOR$VERISENSE) { tmph = read.csv(datafile, nrow = 8, skip = 1) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index bbfecc73e..27226138e 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -87,8 +87,11 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = c() #just no data in this last block } } - if (length(P) > 0) { #check whether there is enough data - if (blocknumber == 1 && nrow(P$data.out) < (sf * ws * 2 + 1)) { + if (length(P) > 0) { + names(P)[names(P) == "data.out"] = "data" + + #check whether there is enough data + if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { P = c(); switchoffLD = 1 filequality$filetooshort = TRUE } diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 06dc0a30a..311707c85 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -90,7 +90,7 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv # As of R 4.0, an extra header row is extracted, which affects the positioning of the values. # expect_equal(as.numeric(as.character(wav_read$P$header$hvalues[7])),17) - expect_equal(round(sum(GA_read$P$data.out[, 2:4]), digits = 2), -467.59) + expect_equal(round(sum(GA_read$P$data[, 2:4]), digits = 2), -467.59) # print(GA_read$P$header) # expect_equal(as.character(unlist(GA_read$P$header[3, 1])), "216 Hours") From ebf61a2fd0e5a4ef39a202d4ea5fc9fd76b36638 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 19 Dec 2023 12:06:29 -0500 Subject: [PATCH 010/149] correcting comment The comment got re-worded incorrectly sometime in the past. Correcting to restore the original meaning. It came from this commit: https://github.com/wadpac/GGIR/commit/e61538b264e5e6bd5f411782e1dc53c8e6fb2b42 --- R/g.readaccfile.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 27226138e..4a2075cdb 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -136,7 +136,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, data.table=FALSE, stringsAsFactors=TRUE)) }, silent = TRUE) if (length(P) > 1) { - # data.matrix turnes num to char if there are missing values. + # use data.matrix because as.matrix turned num to char if there are missing values. if (ncol(P) == 3) { P = data.matrix(P) } else { From 1f59462f08a3d356a88d67f3f65b00dd765a5242 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 21 Dec 2023 13:27:29 -0500 Subject: [PATCH 011/149] remove unused parameter --- R/g.dotorcomma.R | 2 +- R/g.readaccfile.R | 3 +-- man/g.dotorcomma.Rd | 5 +---- 3 files changed, 3 insertions(+), 7 deletions(-) diff --git a/R/g.dotorcomma.R b/R/g.dotorcomma.R index 2668de8b0..1c635eea4 100644 --- a/R/g.dotorcomma.R +++ b/R/g.dotorcomma.R @@ -1,4 +1,4 @@ -g.dotorcomma = function(inputfile, dformat, mon, desiredtz = "", loadGENEActiv = "GGIRread", ...) { +g.dotorcomma = function(inputfile, dformat, mon, desiredtz = "", ...) { #get input variables (relevant when read.myacc.csv is used) input = list(...) decn = getOption("OutDec") # extract system decimal separator diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 4a2075cdb..f27a950c2 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -113,8 +113,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, options(warn = -1) # turn off warnings suppressWarnings(expr = {decn = g.dotorcomma(filename, dformat, mon, desiredtz = params_general[["desiredtz"]], - rmc.dec = params_rawdata[["rmc.dec"]], - loadGENEActiv = params_rawdata[["loadGENEActiv"]])}) # detect dot or comma dataformat + rmc.dec = params_rawdata[["rmc.dec"]])}) # detect dot or comma dataformat options(warn = 0) #turn on warnings # skip 1 more row only if the file has a header. Only the first chunk of data can have a header. diff --git a/man/g.dotorcomma.Rd b/man/g.dotorcomma.Rd index d9da0de49..93fd69043 100644 --- a/man/g.dotorcomma.Rd +++ b/man/g.dotorcomma.Rd @@ -9,7 +9,7 @@ should be interpretted } \usage{ - g.dotorcomma(inputfile,dformat,mon, desiredtz = "", loadGENEActiv = "GGIRread", ...) + g.dotorcomma(inputfile,dformat,mon, desiredtz = "", ...) } \arguments{ \item{inputfile}{ @@ -26,9 +26,6 @@ \item{desiredtz}{ Desired timezone, see documentation \link{g.getmeta} } - \item{loadGENEActiv}{ - See \link{GGIR} - } \item{...}{ Any input arguments needed for function \link{read.myacc.csv} if you are working with a non-standard csv formatted files. From bb18b5d2d486d5b7af3f4575b7301c1907e97d5a Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 21 Dec 2023 17:33:27 -0500 Subject: [PATCH 012/149] fixing a weird copy-paste error I made this was from https://github.com/wadpac/GGIR/commit/0caaf70e0098b09b5f49a692eeb44c6f7a006e31 --- R/g.readaccfile.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index f27a950c2..548a97106 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -108,7 +108,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, invisible(force(x)) } - op <- options(stringsAsFactors = FALSE) + op <- options(warn = -1) #turn off warnings on.exit(options(op)) options(warn = -1) # turn off warnings suppressWarnings(expr = {decn = g.dotorcomma(filename, dformat, mon, From 502370b21d1c9c1d76685754c9141612d8bf496a Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 23 Dec 2023 18:49:05 -0500 Subject: [PATCH 013/149] call to dotorcoma was in a wrong place dototcomma() was only called for Actigraph csv files. That was my mistake from this commit https://github.com/wadpac/GGIR/commit/0caaf70e0098b09b5f49a692eeb44c6f7a006e31 --- R/g.readaccfile.R | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 548a97106..8b9737b69 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -22,6 +22,15 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if (mon == MONITOR$VERISENSE) mon = MONITOR$ACTIGRAPH dformat = I$dformc sf = I$sf + + # detect dot or comma separator in the data file + op <- options(warn = -1) #turn off warnings + on.exit(options(op)) + options(warn = -1) # turn off warnings + suppressWarnings(expr = {decn = g.dotorcomma(filename, dformat, mon, + desiredtz = params_general[["desiredtz"]], + rmc.dec = params_rawdata[["rmc.dec"]])}) + options(warn = 0) # turn on warnings if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) || @@ -108,14 +117,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, invisible(force(x)) } - op <- options(warn = -1) #turn off warnings - on.exit(options(op)) - options(warn = -1) # turn off warnings - suppressWarnings(expr = {decn = g.dotorcomma(filename, dformat, mon, - desiredtz = params_general[["desiredtz"]], - rmc.dec = params_rawdata[["rmc.dec"]])}) # detect dot or comma dataformat - options(warn = 0) #turn on warnings - # skip 1 more row only if the file has a header. Only the first chunk of data can have a header. if (blocknumber == 1) { testheader = quiet(data.table::fread(filename, nrows = 2, skip = 10, From 921278734e366f4476ae7d15932aff2c56dd3d15 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 23 Dec 2023 19:23:38 -0500 Subject: [PATCH 014/149] don't convert strings to factors stringsAsFactors=TRUE was set in response to R changing the default for this parameter from TRUE to FALSE. But we don't expect any non-numeric values in these data files, and if there's something wrong with the file and it contains a character string, it's better to end up with a character column than a factor column. Factors can be mistaken for numbers, and this conversion could end up undetected, even though we'd end up with very unexpected numeric values. --- R/g.readaccfile.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 8b9737b69..25e088c0b 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -132,8 +132,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, try(expr = { P = quiet(data.table::fread(filename, nrows = blocksize, skip = startpage, dec = decn, showProgress = FALSE, - header = FALSE, # header should always be FALSE to prevent that acceleration values are taken as header when reading chunks 2 onwards - data.table=FALSE, stringsAsFactors=TRUE)) + header = FALSE, # header should always be FALSE to prevent acceleration values from being mistaken for header when reading chunks 2 and on + data.table=FALSE, stringsAsFactors=FALSE)) }, silent = TRUE) if (length(P) > 1) { # use data.matrix because as.matrix turned num to char if there are missing values. @@ -246,7 +246,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = data.table::fread(filename, nrows = blocksize, skip = startpage, dec = decn, showProgress = FALSE, header = FALSE, - data.table=FALSE, stringsAsFactors = TRUE) + data.table=FALSE, stringsAsFactors=FALSE) }, silent = TRUE) if (length(P) > 1) { if (blocknumber == 1 && nrow(P) < (sf * ws * 2 + 1)) { From a7ffe05eba25349edc22296c63c20c351f1c36b2 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 23 Dec 2023 20:47:08 -0500 Subject: [PATCH 015/149] standardize output for Actigraph csv --- R/g.readaccfile.R | 21 ++++++++++----------- tests/testthat/test_greadaccfile.R | 4 ++-- 2 files changed, 12 insertions(+), 13 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 25e088c0b..3866290e1 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -130,19 +130,18 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, #-------------- try(expr = { - P = quiet(data.table::fread(filename, nrows = blocksize, skip = startpage, - dec = decn, showProgress = FALSE, - header = FALSE, # header should always be FALSE to prevent acceleration values from being mistaken for header when reading chunks 2 and on - data.table=FALSE, stringsAsFactors=FALSE)) + P$data = quiet(data.table::fread(filename, nrows = blocksize, skip = startpage, + dec = decn, showProgress = FALSE, + header = FALSE, # header should always be FALSE to prevent acceleration values from being mistaken for header when reading chunks 2 and on + data.table=FALSE, stringsAsFactors=FALSE)) }, silent = TRUE) - if (length(P) > 1) { - # use data.matrix because as.matrix turned num to char if there are missing values. - if (ncol(P) == 3) { - P = data.matrix(P) - } else { - P = data.matrix(P[, 2:ncol(P)]) # avoid timestamp column + if (length(P$data) > 1) { + if (ncol(P$data) > 3) { + P$data = P$data[, 2:4] # remove timestamp column, keep only XYZ columns } - if (blocknumber == 1 && nrow(P) < (sf * ws * 2 + 1)) { + colnames(P$data)[1:3] = c("x", "y", "z") + + if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { P = c() ; switchoffLD = 1 filequality$filetooshort = TRUE } diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 311707c85..6c991335e 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -24,10 +24,10 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv dayborder = dayborder, ws = 3, desiredtz = desiredtz, PreviousEndPage = 1, inspectfileobject = Icsv, params_rawdata = params_rawdata) - expect_equal(nrow(csv_read$P), 3000) + expect_equal(nrow(csv_read$P$data), 3000) expect_false(csv_read$filequality$filecorrupt) expect_false(csv_read$filequality$filetooshort) - expect_equal(sum(csv_read$P), 3151.11, tolerance = .01, scale = 1) + expect_equal(sum(csv_read$P$data), 3151.11, tolerance = .01, scale = 1) cwafile = system.file("testfiles/ax3_testfile.cwa", package = "GGIRread")[1] GAfile = system.file("testfiles/GENEActiv_testfile.bin", package = "GGIRread")[1] From 023ca14145c7aff9bbc3e8b1b2d6bd8d4db4ded8 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 23 Dec 2023 21:24:17 -0500 Subject: [PATCH 016/149] simplify function declaration --- R/g.readaccfile.R | 36 +++++++++++++++--------------------- 1 file changed, 15 insertions(+), 21 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 3866290e1..ef9de4e72 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -151,31 +151,25 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) { if (utils::packageVersion("GGIRread") < "0.3.0") { # ignore frequency_tol parameter - apply_readAxivity = function(fname = filename, - bstart, bend, - desiredtz = params_general[["desiredtz"]], - configtz = params_general[["configtz"]], - interpolationType = params_rawdata[["interpolationType"]], - frequency_tol = params_rawdata[["frequency_tol"]]) { - try(expr = {P = GGIRread::readAxivity(filename = fname, start = bstart, - end = bend, progressBar = FALSE, desiredtz = desiredtz, - configtz = configtz, - interpolationType = interpolationType)}, silent = TRUE) + apply_readAxivity = function(bstart, bend) { + try(expr = {P = GGIRread::readAxivity(filename = filename, start = bstart, end = bend, + progressBar = FALSE, + desiredtz = params_general[["desiredtz"]], + configtz = params_general[["configtz"]], + interpolationType = params_rawdata[["interpolationType"]]) + }, silent = TRUE) return(P) } } else { # pass on frequency_tol parameter to GGIRread::readAxivity function - apply_readAxivity = function(fname = filename, - bstart, bend, - desiredtz = params_general[["desiredtz"]], - configtz = params_general[["configtz"]], - interpolationType = params_rawdata[["interpolationType"]], - frequency_tol = params_rawdata[["frequency_tol"]]) { - try(expr = {P = GGIRread::readAxivity(filename = filename, start = bstart, - end = bend, progressBar = FALSE, desiredtz = desiredtz, - configtz = configtz, - interpolationType = interpolationType, - frequency_tol = frequency_tol)}, silent = TRUE) + apply_readAxivity = function(bstart, bend) { + try(expr = {P = GGIRread::readAxivity(filename = filename, start = bstart, end = bend, + progressBar = FALSE, + desiredtz = params_general[["desiredtz"]], + configtz = params_general[["configtz"]], + interpolationType = params_rawdata[["interpolationType"]], + frequency_tol = params_rawdata[["frequency_tol"]]) + }, silent = TRUE) return(P) } } From 7666748297d64c33dbf779fa1c8f12ab654a3736 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 23 Dec 2023 23:00:15 -0500 Subject: [PATCH 017/149] standardize output names --- R/g.readaccfile.R | 3 +++ 1 file changed, 3 insertions(+) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index ef9de4e72..62bfa7526 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -234,6 +234,9 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if (blocknumber == 1) filequality$filecorrupt = TRUE } } + if ("temp" %in% colnames(P$data)) { + colnames(P$data)[colnames(P$data) == "temp"] = "temperature" + } } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) { try(expr = { P = data.table::fread(filename, nrows = blocksize, From 49ee51742d546bab5e878a8cab582cb676cde243 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 24 Dec 2023 01:24:12 -0500 Subject: [PATCH 018/149] params_general[["desiredtz"]] defaults to "" extract_params() defaults params_general[["desiredtz"]] to "", which means to use the system timezone --- R/g.readaccfile.R | 4 ---- 1 file changed, 4 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 62bfa7526..87e565469 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -254,10 +254,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } # resample the acceleration data, because AX3 data is stored at irregular time points rawTime = vector(mode = "numeric", nrow(P)) - if (length(params_general[["desiredtz"]]) == 0 & blocknumber == 1) { - cat("Forgot to specify argument desiredtz? Now Europe/London assumed") - params_general[["desiredtz"]] = "Europe/London" - } rawTime = as.numeric(as.POSIXlt(P[,1],tz = params_general[["desiredtz"]])) rawAccel = as.matrix(P[,2:4]) step = 1/sf From 847373f5a160e88c8bd0487bcc0fd9520caa95ac Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 24 Dec 2023 03:02:18 -0500 Subject: [PATCH 019/149] converting unix timestamp to POSIXlt & back to numeric leaves it unchanged --- R/g.readaccfile.R | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 87e565469..30f365a70 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -253,8 +253,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, switchoffLD = 1 } # resample the acceleration data, because AX3 data is stored at irregular time points - rawTime = vector(mode = "numeric", nrow(P)) - rawTime = as.numeric(as.POSIXlt(P[,1],tz = params_general[["desiredtz"]])) + rawTime = P[,1] rawAccel = as.matrix(P[,2:4]) step = 1/sf start = rawTime[1] @@ -262,7 +261,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, timeRes = seq(start, end, step) nr = length(timeRes) - 1 timeRes = as.vector(timeRes[1:nr]) - accelRes = matrix(0,nrow = nr, ncol = 3, dimnames = list(NULL, c("x", "y", "z"))) # at the moment the function is designed for reading the r3 acceleration channels only, # because that is the situation of the use-case we had. rawLast = nrow(rawAccel) From 954a0092fd9c44b929ffed16117d2b8a2fc954a2 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 24 Dec 2023 03:37:56 -0500 Subject: [PATCH 020/149] standardize output --- R/g.readaccfile.R | 41 ++++++++++++++++++++--------------------- 1 file changed, 20 insertions(+), 21 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 30f365a70..f0e28f325 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -239,33 +239,32 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) { try(expr = { - P = data.table::fread(filename, nrows = blocksize, + rawData = data.table::fread(filename, nrows = blocksize, skip = startpage, dec = decn, showProgress = FALSE, header = FALSE, data.table=FALSE, stringsAsFactors=FALSE) }, silent = TRUE) - if (length(P) > 1) { - if (blocknumber == 1 && nrow(P) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 #added 30-6-2012 + if (length(rawData) > 1) { + if (blocknumber == 1 && nrow(rawData) < (sf * ws * 2 + 1)) { + P = c() ; switchoffLD = 1 filequality$filetooshort = TRUE + } else { + if (nrow(rawData) < blocksize) { #last block + switchoffLD = 1 + } + # resample the acceleration data, because AX3 data is stored at irregular time points + rawTime = rawData[,1] + rawAccel = as.matrix(rawData[,2:4]) + step = 1/sf + timeRes = seq(rawTime[1], rawTime[length(rawTime)], step) + timeRes = timeRes[1 : (length(timeRes) - 1)] + + # at the moment the function is designed for reading the 3 acceleration channels only, + # because that is the situation of the use-case we had. + accelRes = GGIRread::resample(rawAccel, rawTime, timeRes, nrow(rawAccel), params_rawdata[["interpolationType"]]) # this is now the resampled acceleration data + P$data = data.frame(timeRes, accelRes) + colnames(P$data) = c("time", "x", "y", "z") } - if (nrow(P) < (blocksize)) { #last block - switchoffLD = 1 - } - # resample the acceleration data, because AX3 data is stored at irregular time points - rawTime = P[,1] - rawAccel = as.matrix(P[,2:4]) - step = 1/sf - start = rawTime[1] - end = rawTime[length(rawTime)] - timeRes = seq(start, end, step) - nr = length(timeRes) - 1 - timeRes = as.vector(timeRes[1:nr]) - # at the moment the function is designed for reading the r3 acceleration channels only, - # because that is the situation of the use-case we had. - rawLast = nrow(rawAccel) - accelRes = GGIRread::resample(rawAccel, rawTime, timeRes, rawLast, params_rawdata[["interpolationType"]]) # this is now the resampled acceleration data - P = cbind(timeRes,accelRes) } else { P = c() } From 44a4411ea24c2d5a666acc35ebfff8f8c7ee9b32 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 27 Dec 2023 17:47:28 -0500 Subject: [PATCH 021/149] adding axivity csv test files The csv files were generated by Open Movement's OmGui, from GGIRread test files testfiles/ax3_testfile.cwa and testfiles/ax6_testfile.cwa using "Export Raw CSV", with "Gravity(g)" selected as accelerometer unit and "Seconds (Unix epoch)" as timestamp format --- inst/testfiles/ax3_testfile.csv | 17399 +++++++++++++++++++++++++++ inst/testfiles/ax6_testfile.csv | 11320 +++++++++++++++++ tests/testthat/test_greadaccfile.R | 38 +- 3 files changed, 28753 insertions(+), 4 deletions(-) create mode 100644 inst/testfiles/ax3_testfile.csv create mode 100755 inst/testfiles/ax6_testfile.csv diff --git a/inst/testfiles/ax3_testfile.csv b/inst/testfiles/ax3_testfile.csv new file mode 100644 index 000000000..6c7311771 --- /dev/null +++ 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+1577135160.9700,0.050781,0.978516,0.011230,0.251770,1.083374,0.106812 +1577135160.9800,0.047852,0.981445,0.011230,-0.137329,1.106262,0.000000 diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 6c991335e..aa79bd461 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -1,6 +1,6 @@ library(GGIR) context("g.readaccfile") -test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv files correctly", { +test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, Axivity csv, and actigraph csv files correctly", { skip_on_cran() desiredtz = "Europe/London" @@ -30,6 +30,8 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv expect_equal(sum(csv_read$P$data), 3151.11, tolerance = .01, scale = 1) cwafile = system.file("testfiles/ax3_testfile.cwa", package = "GGIRread")[1] + Ax3CsvFile = system.file("testfiles/ax3_testfile.csv", package = "GGIR")[1] + Ax6CsvFile = system.file("testfiles/ax6_testfile.csv", package = "GGIR")[1] GAfile = system.file("testfiles/GENEActiv_testfile.bin", package = "GGIRread")[1] gt3xfile = system.file("testfiles/actigraph_testfile.gt3x", package = "GGIR")[1] @@ -45,6 +47,7 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv inspectfileobject = Igt3x) expect_true(Mgt3x$filetooshort) expect_false(Mgt3x$filecorrupt) + cat("\nAxivity .cwa") # axivity .cwa Icwa = g.inspectfile(cwafile, desiredtz = desiredtz, params_rawdata = params_rawdata) @@ -57,7 +60,34 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv inspectfileobject = Icwa) expect_true(Mcwa$filetooshort) expect_false(Mcwa$filecorrupt) - + + cat("\nAxivity .csv") + + for (csvData in list(list(Ax3CsvFile, 2881, 2370.08), list(Ax6CsvFile, 2875, 1063.66))) { + IAxivityCsv = g.inspectfile(csvData[[1]], desiredtz = desiredtz, params_rawdata = params_rawdata) + expect_equal(IAxivityCsv$monc, MONITOR$AXIVITY) + expect_equal(IAxivityCsv$dformc, FORMAT$CSV) + + csv_read = g.readaccfile(csvData[[1]], blocksize = 10, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = 1, inspectfileobject = IAxivityCsv, + params_rawdata = params_rawdata) + + # For both ax3 and ax6 files, we expect 4 columns: timestamp and XYZ. + # All gyro data in ax6 files gets ignored. + expect_equal(ncol(csv_read$P$data), 4) + + expect_equal(nrow(csv_read$P$data), csvData[[2]]) + expect_false(csv_read$filequality$filecorrupt) + expect_false(csv_read$filequality$filetooshort) + expect_equal(sum(csv_read$P$data[c("x","y","z")]), csvData[[3]], tolerance = .01, scale = 1) + + MAxCsv = g.getmeta(datafile = Ax3CsvFile, desiredtz = desiredtz, windowsize = c(1,300,300), + inspectfileobject = IAxivityCsv) + expect_true(MAxCsv$filetooshort) + expect_false(MAxCsv$filecorrupt) + } + cat("\nGENEActiv .bin") # GENEActiv .bin IGA = g.inspectfile(GAfile, desiredtz = desiredtz) @@ -97,6 +127,6 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, and actigraph csv #also test one small other function: datadir = system.file("testfiles", package = "GGIR")[1] fnames = datadir2fnames(datadir = datadir, filelist = FALSE) - expect_equal(length(fnames$fnames), 6) - expect_equal(length(fnames$fnamesfull), 6) + expect_equal(length(fnames$fnames), 8) + expect_equal(length(fnames$fnamesfull), 8) }) From 99ec6713f2edc2d91b091b405d671ae2401ac3e0 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 28 Dec 2023 12:23:46 -0500 Subject: [PATCH 022/149] put all tests for same format together --- tests/testthat/test_greadaccfile.R | 48 ++++++++++++++++-------------- 1 file changed, 25 insertions(+), 23 deletions(-) diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index aa79bd461..551bff32d 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -10,6 +10,12 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, Axivity csv, and filequality = list(filecorrupt = FALSE, filetooshort = FALSE) dayborder = 0 + Ax3CsvFile = system.file("testfiles/ax3_testfile.csv", package = "GGIR")[1] + Ax6CsvFile = system.file("testfiles/ax6_testfile.csv", package = "GGIR")[1] + cwafile = system.file("testfiles/ax3_testfile.cwa", package = "GGIRread")[1] + GAfile = system.file("testfiles/GENEActiv_testfile.bin", package = "GGIRread")[1] + gt3xfile = system.file("testfiles/actigraph_testfile.gt3x", package = "GGIR")[1] + cat("\nActigraph .csv") create_test_acc_csv() @@ -29,12 +35,6 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, Axivity csv, and expect_false(csv_read$filequality$filetooshort) expect_equal(sum(csv_read$P$data), 3151.11, tolerance = .01, scale = 1) - cwafile = system.file("testfiles/ax3_testfile.cwa", package = "GGIRread")[1] - Ax3CsvFile = system.file("testfiles/ax3_testfile.csv", package = "GGIR")[1] - Ax6CsvFile = system.file("testfiles/ax6_testfile.csv", package = "GGIR")[1] - GAfile = system.file("testfiles/GENEActiv_testfile.bin", package = "GGIRread")[1] - gt3xfile = system.file("testfiles/actigraph_testfile.gt3x", package = "GGIR")[1] - cat("\nActigraph .gt3x") # actigraph .gt3x Igt3x = g.inspectfile(gt3xfile, desiredtz = desiredtz) @@ -56,6 +56,14 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, Axivity csv, and expect_equal(Icwa$sf, 100) EHV = g.extractheadervars(Icwa) expect_equal(EHV$deviceSerialNumber,"39434") + + cwa_read = g.readaccfile(cwafile, blocksize = 10, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = 1, inspectfileobject = Icwa, + params_rawdata = params_rawdata) + expect_equal(cwa_read$P$header$blocks, 145) + expect_equal(round(cwa_read$P$data[200, 6], digits = 4), 0) + Mcwa = g.getmeta(cwafile, desiredtz = desiredtz, windowsize = c(1,300,300), inspectfileobject = Icwa) expect_true(Mcwa$filetooshort) @@ -97,33 +105,27 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, Axivity csv, and EHV = g.extractheadervars(IGA) expect_equal(EHV$deviceSerialNumber,"012967") - MGA = g.getmeta(GAfile, desiredtz = desiredtz, windowsize = c(1,300,300), verbose = FALSE, - inspectfileobject = IGA) - expect_true(MGA$filetooshort) - - - # test decimal separator recognition extraction - decn = g.dotorcomma(cwafile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) - expect_equal(decn,".") - decn = g.dotorcomma(GAfile, dformat = FORMAT$BIN, mon = MONITOR$GENEACTIV, desiredtz = desiredtz) - expect_equal(decn,".") - - cwa_read = g.readaccfile(cwafile, blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, - PreviousEndPage = 1, inspectfileobject = Icwa, - params_rawdata = params_rawdata) + GA_read = g.readaccfile(GAfile, blocksize = 2, blocknumber = 1, filequality = filequality, dayborder = dayborder, ws = 3, desiredtz = desiredtz, PreviousEndPage = 1, inspectfileobject = IGA) - expect_equal(cwa_read$P$header$blocks, 145) - expect_equal(round(cwa_read$P$data[200, 6], digits = 4), 0) # As of R 4.0, an extra header row is extracted, which affects the positioning of the values. # expect_equal(as.numeric(as.character(wav_read$P$header$hvalues[7])),17) expect_equal(round(sum(GA_read$P$data[, 2:4]), digits = 2), -467.59) # print(GA_read$P$header) # expect_equal(as.character(unlist(GA_read$P$header[3, 1])), "216 Hours") + + MGA = g.getmeta(GAfile, desiredtz = desiredtz, windowsize = c(1,300,300), verbose = FALSE, + inspectfileobject = IGA) + expect_true(MGA$filetooshort) + # test decimal separator recognition extraction + decn = g.dotorcomma(cwafile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) + expect_equal(decn,".") + decn = g.dotorcomma(GAfile, dformat = FORMAT$BIN, mon = MONITOR$GENEACTIV, desiredtz = desiredtz) + expect_equal(decn,".") + #also test one small other function: datadir = system.file("testfiles", package = "GGIR")[1] fnames = datadir2fnames(datadir = datadir, filelist = FALSE) From 613d2bdf4673d40e9f6e576cf356298bc1ac7ef2 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 28 Dec 2023 20:44:01 -0500 Subject: [PATCH 023/149] add readaccfile and inspectfile tests for movisens --- tests/testthat/test_greadaccfile.R | 38 +++++++++++++++++++++++++++++- 1 file changed, 37 insertions(+), 1 deletion(-) diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 551bff32d..2b0b969e9 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -1,6 +1,6 @@ library(GGIR) context("g.readaccfile") -test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, Axivity csv, and actigraph csv files correctly", { +test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity csv, and actigraph csv files correctly", { skip_on_cran() desiredtz = "Europe/London" @@ -119,7 +119,43 @@ test_that("g.readaccfile and g.inspectfile can read gt3x, cwa, Axivity csv, and MGA = g.getmeta(GAfile, desiredtz = desiredtz, windowsize = c(1,300,300), verbose = FALSE, inspectfileobject = IGA) expect_true(MGA$filetooshort) + + cat("\n Movisens") + + output_dir = "output_unisensExample" + on.exit(if (file.exists(output_dir)) unlink(output_dir, recursive = TRUE)) + if (file.exists(output_dir)) unlink(output_dir, recursive = TRUE) + + zip_file = "0.3.4.zip" + on.exit(if (file.exists(zip_file)) unlink(zip_file), add = TRUE) + if (!file.exists(zip_file)) { + # link to a tagged release of Unisens/unisensR github repo + movisens_url = "https://github.com/Unisens/unisensR/archive/refs/tags/0.3.4.zip" + download.file(url = movisens_url, destfile = zip_file) + } + movisens_dir = "unisensR-0.3.4" + on.exit(if (file.exists(movisens_dir)) unlink(movisens_dir, recursive = TRUE), add = TRUE) + if (file.exists(movisens_dir)) { + unlink(movisens_dir, recursive = TRUE) + } + unzip(zipfile = zip_file, exdir = ".") + movisensFile = file.path(getwd(), "unisensR-0.3.4/tests/unisensExample/acc.bin") + + Mcsv = g.inspectfile(movisensFile, desiredtz = desiredtz) + expect_equal(Mcsv$monc, MONITOR$MOVISENS) + expect_equal(Mcsv$dformc, FORMAT$BIN) + expect_equal(Mcsv$sf, 64) + + movisens_read = g.readaccfile(movisensFile, blocksize = 3000, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = 1, inspectfileobject = Mcsv, + params_rawdata = params_rawdata) + expect_equal(nrow(movisens_read$P$data), 3001) + expect_false(movisens_read$filequality$filecorrupt) + expect_false(movisens_read$filequality$filetooshort) + expect_equal(sum(movisens_read$P$data[c("x","y","z")]), 4385.29, tolerance = .01, scale = 1) + # test decimal separator recognition extraction decn = g.dotorcomma(cwafile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) expect_equal(decn,".") From d22251fd011028060ae1f780a503e78a2e3c69e4 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 28 Dec 2023 20:48:53 -0500 Subject: [PATCH 024/149] There could be a dot anywhere in the file path, not just in the very beginning. The name of any intermediate folder in the path can contain a dot. This happens for example in the path unisensR-0.3.4/tests/unisensExample/acc.bin that we get when we download a movisens data example from https://github.com/Unisens --- R/ismovisens.R | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/R/ismovisens.R b/R/ismovisens.R index 20af3126f..b5c65c27b 100644 --- a/R/ismovisens.R +++ b/R/ismovisens.R @@ -1,15 +1,15 @@ ismovisens = function(data){ # --------------------------- - # Is data a directory? Then use the first file to test if recorded with movisens - directory = dir(data, recursive = T, full.names = T)[1] - isdir = !is.na(directory) - if (isdir == TRUE) data = directory + # Is data a directory? Then use the first file in this directory + # to test if recorded with movisens + first_file = dir(data, recursive = T, full.names = T)[1] + isdir = !is.na(first_file) + if (isdir) data = first_file # --------------------------- - # remove problematic dot at the beginning - data = gsub("^./", "", data) - # Now, I focus on the participant directory - p_dir = strsplit(data, ".", fixed = T) - data_tmp = strsplit(p_dir[[1]], "/") + # At this point, data is guaranteed to be a path to a file. + # Now, focus on the directory containing this file. + data_tmp = strsplit(data, "/") + data_ln = length(data_tmp[[1]]) - 1 data = paste(data_tmp[[1]][1:data_ln], collapse = "/") # --------------------------- From dcce9c819afb26c66895d908d993e030292d2855 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 28 Dec 2023 20:49:36 -0500 Subject: [PATCH 025/149] standardize output for movisens --- R/g.readaccfile.R | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index f0e28f325..a8d0c563f 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -274,14 +274,20 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, endpage = file_length switchoffLD = 1 } - P = unisensR::readUnisensSignalEntry(dirname(filename), "acc.bin", + P$data = unisensR::readUnisensSignalEntry(dirname(filename), "acc.bin", startIndex = startpage, endIndex = endpage) - P = as.matrix(P) - if (blocknumber == 1 && nrow(P) < (sf * ws * 2 + 1)) { + if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { P = c() switchoffLD = 1 filequality$filetooshort = TRUE + } else { + colnames(P$data) = c("x", "y", "z") + # there may or may not be a temp.bin file containing temperature + try(expr = {P$temp = g.readtemp_movisens(dirname(filename), desiredtz = params_general[["desiredtz"]], + from = startpage, to = endpage, + interpolationType = params_rawdata[["interpolationType"]]) + }, silent = TRUE) } } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { P = try(expr = {as.data.frame(read.gt3x::read.gt3x(path = filename, batch_begin = startpage, From 8e0f445b116c95b2770124ba1a4df9d1d8efc1bc Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 28 Dec 2023 22:43:02 -0500 Subject: [PATCH 026/149] read.gt3x::read.gt3x already returns a data frame because parameter asDataFrame = TRUE --- R/g.readaccfile.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index a8d0c563f..c2d12a2bd 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -290,9 +290,9 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, }, silent = TRUE) } } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { - P = try(expr = {as.data.frame(read.gt3x::read.gt3x(path = filename, batch_begin = startpage, - batch_end = endpage,asDataFrame = TRUE))}, silent = TRUE) - if (length(P) == 0 | inherits(P, "try-error") == TRUE) { # too short or not data at all + P = try(expr = {read.gt3x::read.gt3x(path = filename, batch_begin = startpage, + batch_end = endpage, asDataFrame = TRUE)}, silent = TRUE) + if (length(P) == 0 || inherits(P, "try-error") == TRUE) { # too short or not data at all P = c() ; switchoffLD = 1 if (blocknumber == 1) { filequality$filetooshort = TRUE From 9c41ee9e4b99cab8bd63629873900b24378ef663 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 29 Dec 2023 00:26:11 -0500 Subject: [PATCH 027/149] standardize output for gt3x --- R/g.readaccfile.R | 22 ++++++++++++------- tests/testthat/test_greadaccfile.R | 35 ++++++++++++++++++++++++++++++ 2 files changed, 49 insertions(+), 8 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index c2d12a2bd..fdd5418a8 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -290,19 +290,25 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, }, silent = TRUE) } } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { - P = try(expr = {read.gt3x::read.gt3x(path = filename, batch_begin = startpage, - batch_end = endpage, asDataFrame = TRUE)}, silent = TRUE) - if (length(P) == 0 || inherits(P, "try-error") == TRUE) { # too short or not data at all + P$data = try(expr = {read.gt3x::read.gt3x(path = filename, batch_begin = startpage, + batch_end = endpage, asDataFrame = TRUE)}, silent = TRUE) + if (length(P$data) == 0 || inherits(P$data, "try-error") == TRUE) { # too short or no data at all P = c() ; switchoffLD = 1 if (blocknumber == 1) { filequality$filetooshort = TRUE filequality$filecorrupt = TRUE } - } else { - if (nrow(P) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 - if (blocknumber == 1) filequality$filetooshort = TRUE - } # If data passes these checks then it is usefull + } else if (nrow(P$data) < (sf * ws * 2 + 1)) { + P = c() ; switchoffLD = 1 + if (blocknumber == 1) filequality$filetooshort = TRUE + } else { # If data passes these checks then it is usefull + colnames(P$data)[colnames(P$data) == "X"] = "x" + colnames(P$data)[colnames(P$data) == "Y"] = "y" + colnames(P$data)[colnames(P$data) == "Z"] = "z" + + # read.gt3x::read.gt3x returns timestamps as POSIXct with GMT timezone, but they are actally in local time of the device. + # Convert them to numeric unix timestamps. + P$data$time = as.numeric(P$data$time) } } else if (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV) { # user-specified csv format try(expr = {P = read.myacc.csv(rmc.file = filename, diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 2b0b969e9..c6492662c 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -43,6 +43,16 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(Igt3x$sf, 30) EHV = g.extractheadervars(Igt3x) expect_equal(EHV$deviceSerialNumber, "MOS2E39180594_firmware_1.9.2") + + gt3x_read = g.readaccfile(gt3xfile, blocksize = 3000, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = 1, inspectfileobject = Igt3x, + params_rawdata = params_rawdata) + expect_equal(nrow(gt3x_read$P$data), 17640) + expect_false(gt3x_read$filequality$filecorrupt) + expect_false(gt3x_read$filequality$filetooshort) + expect_equal(sum(gt3x_read$P$data[c("x","y","z")]), 2732.35, tolerance = .01, scale = 1) + Mgt3x = g.getmeta(datafile = gt3xfile, desiredtz = desiredtz, windowsize = c(1,300,300), inspectfileobject = Igt3x) expect_true(Mgt3x$filetooshort) @@ -156,6 +166,31 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_false(movisens_read$filequality$filetooshort) expect_equal(sum(movisens_read$P$data[c("x","y","z")]), 4385.29, tolerance = .01, scale = 1) + # ad-hoc csv file + + # create test files: No header, with temperature, with time + N = 30 + sf = 30 + x = Sys.time()+((0:(N-1))/sf) + timestamps = as.POSIXlt(x, origin="1970-1-1", tz = "Europe/London") + mydata = data.frame(x = rnorm(N), time = timestamps, y = rnorm(N), z = rnorm(N), + temp = rnorm(N) + 20) + testfile = "testcsv1.csv" + on.exit(if (file.exists(testfile)) file.remove(testfile)) + + write.csv(mydata, file= testfile, row.names = FALSE) + + loadedData = read.myacc.csv(rmc.file=testfile, rmc.nrow=20, rmc.dec=".", + rmc.firstrow.acc = 1, rmc.firstrow.header=c(), + desiredtz = "", + rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, + rmc.unit.acc = "g", rmc.unit.temp = "C", rmc.origin = "1970-01-01") + if (file.exists(testfile)) file.remove(testfile) + + + + + # test decimal separator recognition extraction decn = g.dotorcomma(cwafile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) expect_equal(decn,".") From 62c33b738f218d54d3d99730d0f743beb48708f6 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 31 Dec 2023 01:53:12 -0500 Subject: [PATCH 028/149] standardize output for ad hoc csv --- R/read.myacc.csv.R | 112 ++++++++++++++--------------- tests/testthat/test_greadaccfile.R | 44 +++++++----- 2 files changed, 84 insertions(+), 72 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index acca94ab8..673daf7ef 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -26,7 +26,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", desiredtz = NULL, configtz = NULL) { - if (!is.null(rmc.desiredtz) | !is.null(rmc.configtz)) { + if (!is.null(rmc.desiredtz) || !is.null(rmc.configtz)) { generalWarning = paste0("Argument rmc.desiredtz and rmc.configtz are scheduled to be deprecated", " and will be replaced by the existing arguments desiredtz and configtz, respectively.") showGeneralWarning = TRUE @@ -38,7 +38,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", "rmc.desiredtz to NULL to ensure it is no longer used.")) } } - if (!is.null(configtz) & !is.null(rmc.configtz)) { # then both provided + if (!is.null(configtz) && !is.null(rmc.configtz)) { # then both provided if (rmc.configtz != configtz) { # if different --> error (don't know which one to use) showGeneralWarning = FALSE stop(paste0("\n", generalWarning, "Please, specify only configtz and set ", @@ -50,19 +50,18 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", } # Until deprecation still allow rmc. to be used, - # so us it to overwrite normal tz in this function: + # so use it to overwrite normal tz in this function: if (is.null(desiredtz)) desiredtz = rmc.desiredtz if (desiredtz == "" && !is.null(rmc.desiredtz)) desiredtz = rmc.desiredtz if (is.null(configtz)) configtz = rmc.configtz } # check if none of desiredtz and rmc.desiredtz are provided - if (is.null(desiredtz) & is.null(rmc.desiredtz)) { + if (is.null(desiredtz) && is.null(rmc.desiredtz)) { stop(paste0("Timezone not specified, please provide at least desiredtz", " and consider specifying configtz.")) } - # bitrate should be or header item name as character, or the actual numeric bit rate # unit.temp can take C(elsius), F(ahrenheit), and K(elvin) and converts it into Celsius # Note all argument names start with rmc (read myacc csv) to avoid name clashes when passed on throughout GGIR @@ -82,12 +81,12 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", } options(warn = -1) # fread complains about quote in first row for some file types - header_tmp = as.data.frame(data.table::fread(file = rmc.file, - nrows = rmc.header.length, - skip = rmc.firstrow.header - 1, - dec = rmc.dec, showProgress = FALSE, header = FALSE, - stringsAsFactors = TRUE, - blank.lines.skip = TRUE)) + header_tmp = data.table::fread(file = rmc.file, + nrows = rmc.header.length, + skip = rmc.firstrow.header - 1, + dec = rmc.dec, showProgress = FALSE, header = FALSE, + blank.lines.skip = TRUE, + data.table=FALSE, stringsAsFactors=FALSE) options(warn = 0) if (length(rmc.header.structure) != 0) { # header is stored in 1 column, with strings that need to be split if (length(header_tmp) == 1) { # one header item @@ -158,9 +157,10 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", skip = skip + rmc.skip } # read data from file - P = as.data.frame(data.table::fread(rmc.file,nrows = rmc.nrow, skip = skip, - dec = rmc.dec, showProgress = FALSE, header = freadheader), - stringsAsFactors = TRUE) + P = data.table::fread(rmc.file,nrows = rmc.nrow, skip = skip, + dec = rmc.dec, showProgress = FALSE, header = freadheader, + data.table=FALSE, stringsAsFactors=FALSE) + if (length(configtz) == 0) { configtz = desiredtz } @@ -170,28 +170,28 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", # select relevant columns, add standard column names P = P[,c(rmc.col.time, rmc.col.acc, rmc.col.temp)] if (length(rmc.col.time) > 0 & length(rmc.col.temp) > 0) { - colnames(P) = c("timestamp","accx","accy","accz","temperature") + colnames(P) = c("time","x","y","z","temperature") } else if (length(rmc.col.time) > 0 & length(rmc.col.temp) == 0) { - colnames(P) = c("timestamp","accx","accy","accz") + colnames(P) = c("time","x","y","z") } else if (length(rmc.col.time) == 0 & length(rmc.col.temp) > 0) { - colnames(P) = c("accx","accy","accz","temperature") + colnames(P) = c("x","y","z","temperature") } else if (length(rmc.col.time) == 0 & length(rmc.col.temp) == 0) { - colnames(P) = c("accx","accy","accz") + colnames(P) = c("x","y","z") } # acceleration and temperature as numeric - P$accx = as.numeric(P$accx) - P$accy = as.numeric(P$accy) - P$accz = as.numeric(P$accz) + P$x = as.numeric(P$x) + P$y = as.numeric(P$y) + P$z = as.numeric(P$z) if (length(rmc.col.temp) > 0) P$temperature = as.numeric(P$temperature) # Convert timestamps if (length(rmc.col.time) > 0) { if (rmc.unit.time == "POSIX") { - P$timestamp = as.POSIXct(format(P$timestamp), origin = rmc.origin, tz = configtz, format = rmc.format.time) + P$time = as.POSIXct(format(P$time), origin = rmc.origin, tz = configtz, format = rmc.format.time) checkdec = function(x) { # function to check whether timestamp has decimal places return(length(unlist(strsplit(as.character(x), "[.]|[,]"))) == 1) } - first_chunk_time = P$timestamp[1:pmin(nrow(P), 1000)] + first_chunk_time = P$time[1:pmin(nrow(P), 1000)] checkMissingDecPlaces = unlist(lapply(first_chunk_time, FUN = checkdec)) if (all(checkMissingDecPlaces) & !is.null(rmc.sf) & @@ -204,23 +204,23 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", # rmc.sf = 10 # P = data.frame(timestamps = c(rep(ttt - 1, 3), rep(ttt, 10), rep(ttt + 1, 9), rep(ttt + 2, 10), rep(ttt + 3, 4))) #------ - trans = unique(c(1, which(diff(P$timestamp) > 0), nrow(P))) + trans = unique(c(1, which(diff(P$time) > 0), nrow(P))) sf_tmp = diff(trans) timeIncrement = seq(0, 1 - (1/rmc.sf), by = 1/rmc.sf) # expected time increment per second # All seconds with exactly the sample frequency trans_1 = trans[which(sf_tmp == rmc.sf)] indices_1 = sort(unlist(lapply(trans_1, FUN = function(x){x + (1:rmc.sf)}))) - P$timestamp[indices_1] = P$timestamp[indices_1] + rep(timeIncrement, length(trans_1)) + P$time[indices_1] = P$time[indices_1] + rep(timeIncrement, length(trans_1)) # First second if (sf_tmp[1] != rmc.sf) { indices_2 = 1:trans[2] - P$timestamp[indices_2] = P$timestamp[indices_2] + seq(1 - (trans[2]/rmc.sf), 1 - (1/rmc.sf), by = 1/rmc.sf) + P$time[indices_2] = P$time[indices_2] + seq(1 - (trans[2]/rmc.sf), 1 - (1/rmc.sf), by = 1/rmc.sf) } # Last second if (sf_tmp[length(sf_tmp)] != rmc.sf) { indices_3 = (trans[length(trans)-1] + 1):trans[length(trans)] - P$timestamp[indices_3] = P$timestamp[indices_3] + timeIncrement[1:length(indices_3)] + P$time[indices_3] = P$time[indices_3] + timeIncrement[1:length(indices_3)] } # All seconds with other sample frequency and not the first or last second # This code now assumes that most samples in the second were sampled @@ -242,54 +242,54 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", } else if (length(timeIncrement) < sf2) { timeIncrement2 = c(timeIncrement, rep(timeIncrement[rmc.sf], sf2 - rmc.sf)) } - P$timestamp[indices_4] = P$timestamp[indices_4] + rep(timeIncrement2, length(trans_4)) + P$time[indices_4] = P$time[indices_4] + rep(timeIncrement2, length(trans_4)) } } } } } else if (rmc.unit.time == "character") { - P$timestamp = as.POSIXct(P$timestamp,format = rmc.format.time, tz = configtz) + P$time = as.POSIXct(P$time,format = rmc.format.time, tz = configtz) } else if (rmc.unit.time == "UNIXsec") { - P$timestamp = as.POSIXct(P$timestamp, origin = rmc.origin, tz = configtz) + P$time = as.POSIXct(P$time, origin = rmc.origin, tz = configtz) } else if (rmc.unit.time == "ActivPAL") { # origin should be specified as: "1899-12-30" rmc.origin = "1899-12-30" - datecode = round(P$timestamp) * 3600*24 - tmp2 = P$timestamp - round(P$timestamp) + datecode = round(P$time) * 3600*24 + tmp2 = P$time - round(P$time) timecode = ((tmp2 * 10^10) * 8.64) / 1000000 numerictime = datecode + timecode - P$timestamp = as.POSIXct(numerictime, origin = rmc.origin, tz = configtz) + P$time = as.POSIXct(numerictime, origin = rmc.origin, tz = configtz) } - if (length(which(is.na(P$timestamp) == FALSE)) == 0) { + if (length(which(is.na(P$time) == FALSE)) == 0) { stop("\nExtraction of timestamps unsuccesful, check timestamp format arguments") } } if (configtz != desiredtz) { - P$timestamp = as.POSIXct(as.numeric(P$timestamp), + P$time = as.POSIXct(as.numeric(P$time), tz = desiredtz, origin = "1970-01-01") } # If acceleration is stored in mg units then convert to gravitational units if (rmc.unit.acc == "mg") { - P$accx = P$accx * 1000 - P$accy = P$accy * 1000 - P$accz = P$accz * 1000 + P$x = P$x * 1000 + P$y = P$y * 1000 + P$z = P$z * 1000 } if (rmc.scalefactor.acc != 1) { - P$accx = P$accx * rmc.scalefactor.acc - P$accy = P$accy * rmc.scalefactor.acc - P$accz = P$accz * rmc.scalefactor.acc + P$x = P$x * rmc.scalefactor.acc + P$y = P$y * rmc.scalefactor.acc + P$z = P$z * rmc.scalefactor.acc } # If acceleration is stored in bit values then convert to gravitational unit if (length(rmc.bitrate) > 0 & length(rmc.dynamic_range) > 0 & rmc.unit.acc == "bit") { if (rmc.unsignedbit == TRUE) { - P$accx = ((P$accx / (2^rmc.bitrate)) - 0.5) * 2 * rmc.dynamic_range - P$accy = ((P$accy / (2^rmc.bitrate)) - 0.5) * 2 * rmc.dynamic_range - P$accz = ((P$accz / (2^rmc.bitrate)) - 0.5) * 2 * rmc.dynamic_range + P$x = ((P$x / (2^rmc.bitrate)) - 0.5) * 2 * rmc.dynamic_range + P$y = ((P$y / (2^rmc.bitrate)) - 0.5) * 2 * rmc.dynamic_range + P$z = ((P$z / (2^rmc.bitrate)) - 0.5) * 2 * rmc.dynamic_range } else if (rmc.unsignedbit == FALSE) { # signed bit - P$accx = (P$accx / ((2^rmc.bitrate)/2)) * rmc.dynamic_range - P$accy = (P$accy / ((2^rmc.bitrate)/2)) * rmc.dynamic_range - P$accz = (P$accz / ((2^rmc.bitrate)/2)) * rmc.dynamic_range + P$x = (P$x / ((2^rmc.bitrate)/2)) * rmc.dynamic_range + P$y = (P$y / ((2^rmc.bitrate)/2)) * rmc.dynamic_range + P$z = (P$z / ((2^rmc.bitrate)/2)) * rmc.dynamic_range } } # Convert temperature units @@ -304,21 +304,21 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", # check for jumps in time and impute if (rmc.check4timegaps == TRUE) { if (length(sf) == 0) { # estimate sample frequency if not given in header - deltatime = abs(diff(as.numeric(P$timestamp))) + deltatime = abs(diff(as.numeric(P$time))) gapsi = which(deltatime > 0.25) - sf = (P$timestamp[gapsi[1]] - P$timestamp[1]) / (gapsi[1] - 1) + sf = (P$time[gapsi[1]] - P$time[1]) / (gapsi[1] - 1) } - P = g.imputeTimegaps(P, xyzCol = c("accx", "accy", "accz"), timeCol = "timestamp", sf = sf, k = 0.25, + P = g.imputeTimegaps(P, xyzCol = c("x", "y", "z"), timeCol = "time", sf = sf, k = 0.25, PreviousLastValue = PreviousLastValue, PreviousLastTime = PreviousLastTime, epochsize = NULL) P = P$x - PreviousLastValue = as.numeric(P[nrow(P), c("accx", "accy", "accz")]) - PreviousLastTime = as.POSIXct(P[nrow(P), "timestamp"]) + PreviousLastValue = as.numeric(P[nrow(P), c("x", "y", "z")]) + PreviousLastTime = as.POSIXct(P[nrow(P), "time"]) } if (rmc.doresample == TRUE) { #resample rawTime = vector(mode = "numeric", nrow(P)) - rawTime = as.numeric(as.POSIXct(P$timestamp,tz = configtz)) - rawAccel = as.matrix(P[,-c(which(colnames(P) == "timestamp"))]) + rawTime = as.numeric(as.POSIXct(P$time,tz = configtz)) + rawAccel = as.matrix(P[,-c(which(colnames(P) == "time"))]) step = 1/sf start = rawTime[1] end = rawTime[length(rawTime)] @@ -331,10 +331,10 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", colnamesP = colnames(P) timeRes = as.POSIXct(timeRes, origin = rmc.origin, tz = configtz) P = as.data.frame(accelRes, stringsAsFactors = TRUE) - P$timestamp = timeRes + P$time = timeRes P = P[,c(ncol(P),1:(ncol(P) - 1))] colnames(P) = colnamesP - P$timestamp = as.POSIXct(as.numeric(P$timestamp), + P$time = as.POSIXct(as.numeric(P$time), tz = desiredtz, origin = "1970-01-01") } return(list(data = P, header = header, diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index c6492662c..75ccf1172 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -20,7 +20,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity create_test_acc_csv() filename = "123A_testaccfile.csv" - on.exit(if (file.exists(filename)) file.remove(filename)) + on.exit({if (file.exists(filename)) file.remove(filename)}, add = TRUE) Icsv = g.inspectfile(filename, desiredtz = desiredtz) expect_equal(Icsv$monc, MONITOR$ACTIGRAPH) @@ -133,11 +133,11 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity cat("\n Movisens") output_dir = "output_unisensExample" - on.exit(if (file.exists(output_dir)) unlink(output_dir, recursive = TRUE)) + on.exit({if (file.exists(output_dir)) unlink(output_dir, recursive = TRUE)}, add = TRUE) if (file.exists(output_dir)) unlink(output_dir, recursive = TRUE) zip_file = "0.3.4.zip" - on.exit(if (file.exists(zip_file)) unlink(zip_file), add = TRUE) + on.exit({if (file.exists(zip_file)) unlink(zip_file)}, add = TRUE) if (!file.exists(zip_file)) { # link to a tagged release of Unisens/unisensR github repo movisens_url = "https://github.com/Unisens/unisensR/archive/refs/tags/0.3.4.zip" @@ -145,7 +145,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity } movisens_dir = "unisensR-0.3.4" - on.exit(if (file.exists(movisens_dir)) unlink(movisens_dir, recursive = TRUE), add = TRUE) + on.exit({if (file.exists(movisens_dir)) unlink(movisens_dir, recursive = TRUE)}, add = TRUE) if (file.exists(movisens_dir)) { unlink(movisens_dir, recursive = TRUE) } @@ -169,27 +169,39 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity # ad-hoc csv file # create test files: No header, with temperature, with time - N = 30 + N = 3000 sf = 30 x = Sys.time()+((0:(N-1))/sf) timestamps = as.POSIXlt(x, origin="1970-1-1", tz = "Europe/London") - mydata = data.frame(x = rnorm(N), time = timestamps, y = rnorm(N), z = rnorm(N), - temp = rnorm(N) + 20) + mydata = data.frame(Xcol = rnorm(N), timecol = timestamps, Ycol = rnorm(N), Zcol = rnorm(N), + tempcol = rnorm(N) + 20) testfile = "testcsv1.csv" - on.exit(if (file.exists(testfile)) file.remove(testfile)) + on.exit({if (file.exists(testfile)) file.remove(testfile)}, add = TRUE) - write.csv(mydata, file= testfile, row.names = FALSE) - - loadedData = read.myacc.csv(rmc.file=testfile, rmc.nrow=20, rmc.dec=".", - rmc.firstrow.acc = 1, rmc.firstrow.header=c(), - desiredtz = "", - rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, - rmc.unit.acc = "g", rmc.unit.temp = "C", rmc.origin = "1970-01-01") - if (file.exists(testfile)) file.remove(testfile) + write.csv(mydata, file = testfile, row.names = FALSE) + AHcsv = g.inspectfile(testfile, + rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", + rmc.firstrow.acc = 1, rmc.firstrow.header=c(), + rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, + rmc.unit.acc = "g", rmc.unit.temp = "C", rmc.origin = "1970-01-01") + expect_equal(AHcsv$monc, MONITOR$AD_HOC) + expect_equal(AHcsv$dformc, FORMAT$AD_HOC_CSV) + expect_equal(AHcsv$sf, 30) + csv_read = g.readaccfile(testfile, blocksize = 3000, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = 1, inspectfileobject = AHcsv, + rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", + rmc.firstrow.acc = 1, rmc.firstrow.header=c(), + rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, + rmc.unit.acc = "g", rmc.unit.temp = "C", rmc.origin = "1970-01-01") + expect_equal(nrow(csv_read$P$data), 2999) + expect_false(csv_read$filequality$filecorrupt) + expect_false(csv_read$filequality$filetooshort) + expect_equal(sum(csv_read$P$data[c("x","y","z")]), -103.37, tolerance = .01, scale = 1) # test decimal separator recognition extraction decn = g.dotorcomma(cwafile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) From aa3fc63fcba12de5688907be97fdb7d6a133ff76 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 31 Dec 2023 13:28:03 -0500 Subject: [PATCH 029/149] I think mon = MOVISENS was a typo, need AD_HOC This doesn't actually matter in the code, but cleaning up anyway. --- R/g.dotorcomma.R | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/R/g.dotorcomma.R b/R/g.dotorcomma.R index 1c635eea4..6ec388c8a 100644 --- a/R/g.dotorcomma.R +++ b/R/g.dotorcomma.R @@ -17,7 +17,7 @@ g.dotorcomma = function(inputfile, dformat, mon, desiredtz = "", ...) { if (exists("rmc.dec") == FALSE) rmc.dec = decn if (length(rmc.firstrow.acc) == 1) { dformat = FORMAT$AD_HOC_CSV - mon = MONITOR$MOVISENS + mon = MONITOR$AD_HOC decn = rmc.dec } if (dformat == FORMAT$CSV) { @@ -36,9 +36,7 @@ g.dotorcomma = function(inputfile, dformat, mon, desiredtz = "", ...) { break } numtemp = as.numeric(deci[2,2]) - if (is.na(numtemp) == FALSE) { - if (numtemp != 0) break - } + if (is.na(numtemp) == FALSE && numtemp != 0) break } if (!exists("deci")) stop("Problem with reading .csv file in GGIR function dotorcomma") if (is.na(suppressWarnings(as.numeric(deci[2,2]))) == T & decn == ".") decn = "," From a7d1c6a3744a8eacd98667cb62ecb40605966167 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 1 Jan 2024 15:10:23 -0500 Subject: [PATCH 030/149] fix number of rows skipped as header 1. Always skip (rmc.firstrow.acc - 1) rows, not rmc.firstrow.acc like we did when length(rmc.firstrow.header) == 0, because otherwise the first row of data is lost. 2. Set header parameter of data.table::fread call to "auto" (this way, IFF every non-empty field on the first data line is of type character, this line will be read in as column names). Don't just assume that there is a header with column names, people might have set rmc.firstrow.acc to point to the row after this header. And especially if rmc.firstrow.header is set, then rmc.firstrow.acc is better be set to point to the actual first row of acc data, since data.table::fread won't know how to deal with an arbitrary length/structure header block. For the case of rmc.firstrow.acc == 2, we used to mistakenly skip 2 rows of data because we were setting skip = rmc.firstrow.acc (== 2), and were also calling data.table::fread with header = TRUE (so using a row of data as if it were column names), even though the column names were most likely on row 1 which we had skipped anyway. And for the case when rmc.firstrow.header was set, we were most likely losing one row of data, because then rmc.firstrow.acc was most likely pointing to the first row of the actual acc data, not to any header info. And if rmc.firstrow.acc does point to a row of column names, then header = "auto" can handle that just fine. --- R/read.myacc.csv.R | 31 ++++++++++++------------------ tests/testthat/test_greadaccfile.R | 28 ++++++++++++++++++++++----- 2 files changed, 35 insertions(+), 24 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 673daf7ef..64054c09c 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -29,25 +29,21 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", if (!is.null(rmc.desiredtz) || !is.null(rmc.configtz)) { generalWarning = paste0("Argument rmc.desiredtz and rmc.configtz are scheduled to be deprecated", " and will be replaced by the existing arguments desiredtz and configtz, respectively.") - showGeneralWarning = TRUE + # Check if both types of tz are provided: if (!is.null(desiredtz) && desiredtz != "" && !is.null(rmc.desiredtz)) { if (rmc.desiredtz != desiredtz) { # if different --> error (don't know which one to use) - showGeneralWarning = FALSE stop(paste0("\n", generalWarning, "Please, specify only desiredtz and set ", "rmc.desiredtz to NULL to ensure it is no longer used.")) } } if (!is.null(configtz) && !is.null(rmc.configtz)) { # then both provided if (rmc.configtz != configtz) { # if different --> error (don't know which one to use) - showGeneralWarning = FALSE stop(paste0("\n", generalWarning, "Please, specify only configtz and set ", "rmc.configtz to NULL to ensure it is no longer used.")) } } - if (showGeneralWarning == TRUE) { - warning(paste0("\n", generalWarning)) - } + warning(paste0("\n", generalWarning)) # Until deprecation still allow rmc. to be used, # so use it to overwrite normal tz in this function: @@ -62,16 +58,18 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", " and consider specifying configtz.")) } + if (is.null(rmc.firstrow.acc) || rmc.firstrow.acc < 1) { + rmc.firstrow.acc = 1 + } + skip = rmc.firstrow.acc - 1 + if (!is.null(rmc.skip) && length(rmc.skip) > 0) { + skip = skip + rmc.skip + } + # bitrate should be or header item name as character, or the actual numeric bit rate # unit.temp can take C(elsius), F(ahrenheit), and K(elvin) and converts it into Celsius # Note all argument names start with rmc (read myacc csv) to avoid name clashes when passed on throughout GGIR if (length(rmc.firstrow.header) == 0) { # no header block - if (rmc.firstrow.acc == 2) { - freadheader = TRUE - } else { - freadheader = FALSE - } - skip = rmc.firstrow.acc sf = rmc.sf header = "no header" } else { @@ -121,8 +119,6 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", colnames(header_tmp2) = NULL header = header_tmp2 } - skip = rmc.firstrow.acc - 1 - freadheader = TRUE # assess whether accelerometer data conversion is needed if (length(rmc.bitrate) > 0 & length(rmc.dynamic_range) > 0 & rmc.unit.acc == "bit") { if (is.character(rmc.bitrate[1]) == TRUE) { # extract bitrate if it is in the header @@ -153,12 +149,9 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", row.names(header)[nrow(header)] = "sample_rate" } } - if (length(rmc.skip) > 0) { - skip = skip + rmc.skip - } # read data from file - P = data.table::fread(rmc.file,nrows = rmc.nrow, skip = skip, - dec = rmc.dec, showProgress = FALSE, header = freadheader, + P = data.table::fread(rmc.file, nrows = rmc.nrow, skip = skip, + dec = rmc.dec, showProgress = FALSE, header = "auto", data.table=FALSE, stringsAsFactors=FALSE) if (length(configtz) == 0) { diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 75ccf1172..84d661bd5 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -168,7 +168,8 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity # ad-hoc csv file - # create test files: No header, with temperature, with time + # Create test file: No header, with temperature, with time. + # The first row of the file will contain column names. N = 3000 sf = 30 x = Sys.time()+((0:(N-1))/sf) @@ -190,18 +191,35 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(AHcsv$dformc, FORMAT$AD_HOC_CSV) expect_equal(AHcsv$sf, 30) - csv_read = g.readaccfile(testfile, blocksize = 3000, blocknumber = 1, filequality = filequality, + # Read the file starting with row 1 (rmc.firstrow.acc = 1); this row contains column names. + # Verify that full 3000 rows are still read. + csv_read = g.readaccfile(testfile, blocksize = 10, blocknumber = 1, filequality = filequality, # blocksize is # of pages of 300 samples dayborder = dayborder, ws = 3, desiredtz = desiredtz, PreviousEndPage = 1, inspectfileobject = AHcsv, rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", rmc.firstrow.acc = 1, rmc.firstrow.header=c(), rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, rmc.unit.acc = "g", rmc.unit.temp = "C", rmc.origin = "1970-01-01") - - expect_equal(nrow(csv_read$P$data), 2999) + + expect_equal(nrow(csv_read$P$data), 3000) expect_false(csv_read$filequality$filecorrupt) expect_false(csv_read$filequality$filetooshort) - expect_equal(sum(csv_read$P$data[c("x","y","z")]), -103.37, tolerance = .01, scale = 1) + expect_equal(sum(csv_read$P$data[c("x","y","z")]), -103.61, tolerance = .01, scale = 1) + + # since the 1st row of the file contains column names, pointing rmc.firstrow.acc 2 + # should lead to the same eaxt 3000 lines being read (the lines after the column names). + csv_read2 = g.readaccfile(testfile, blocksize = 10, blocknumber = 1, filequality = filequality, # blocksize is # of pages of 300 samples + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = 1, inspectfileobject = AHcsv, + rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", + rmc.firstrow.acc = 2, rmc.firstrow.header=c(), + rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, + rmc.unit.acc = "g", rmc.unit.temp = "C", rmc.origin = "1970-01-01") + + expect_equal(nrow(csv_read2$P$data), 3000) + expect_false(csv_read2$filequality$filecorrupt) + expect_false(csv_read2$filequality$filetooshort) + expect_equal(sum(csv_read2$P$data[c("x","y","z")]), sum(csv_read$P$data[c("x","y","z")]), tolerance = .01, scale = 1) # test decimal separator recognition extraction decn = g.dotorcomma(cwafile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) From 1e40e8fca0760ce941f398c8ce9c9ad62c7c4c3e Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 1 Jan 2024 17:44:40 -0500 Subject: [PATCH 031/149] minor cleanup --- R/g.getmeta.R | 10 +++++----- R/g.readaccfile.R | 27 +++++++++++++-------------- 2 files changed, 18 insertions(+), 19 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 5a94e7607..41196006d 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -157,7 +157,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), deviceSerialNumber = hvars$deviceSerialNumber } # if GENEActiv csv, deprecated function - if (mon == MONITOR$GENEACTIV && dformat == FORMAT$CSV & length(params_rawdata[["rmc.firstrow.acc"]]) == 0) { + if (mon == MONITOR$GENEACTIV && dformat == FORMAT$CSV && length(params_rawdata[["rmc.firstrow.acc"]]) == 0) { stop("The GENEActiv csv reading functionality is deprecated in GGIR from the version 2.6-4 onwards. Please, use either the GENEActiv bin files or try to read the csv files with GGIR::read.myacc.csv") } if (mon == MONITOR$ACTIGRAPH) { @@ -366,15 +366,15 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), metricnames_long = c("timestamp","nonwearscore","clippingscore","en") } else if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA)) { metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") - } else if (mon == MONITOR$MOVISENS || (mon == MONITOR$AD_HOC & use.temp == TRUE)) { + } else if (mon == MONITOR$MOVISENS || (mon == MONITOR$AD_HOC && use.temp == TRUE)) { # at the moment read.myacc.csv does not facilitate extracting light data, so only temperature is used metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") } rm(SWMT) if (exists("P")) rm(P); gc() - if (i != 0 & exists("P")) rm(P); gc() + if (i != 0 && exists("P")) rm(P); gc() LD = nrow(data) - if (LD < (ws*sf) & i == 1) { + if (LD < (ws*sf) && i == 1) { warning('\nWarning data too short for doing non-wear detection 3\n') switchoffLD = 1 LD = 0 #ignore rest of the data and store what has been loaded so far. @@ -721,7 +721,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), i = i + 1 #go to next block } # deriving timestamps - if (filecorrupt == FALSE & filetooshort == FALSE & filedoesnotholdday == FALSE) { + if (filecorrupt == FALSE && filetooshort == FALSE && filedoesnotholdday == FALSE) { cut = count:nrow(metashort) if (length(cut) > 1) { tmp = metashort[-cut,] diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index fdd5418a8..863a821f0 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -38,18 +38,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, blocksize = blocksize * 300 } - startpage = blocksize * (blocknumber - 1) - - if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || - (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN) || - dformat == FORMAT$GT3X || - dformat == FORMAT$AD_HOC_CSV) { - startpage = startpage + 1 # pages are numbered starting with page 1 - } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { - headerlength = 10 - startpage = startpage + headerlength - } - # startpage should only be specified for blocknumber 1. # The next time (blocknumber > 1) the startpage will be derived from the previous # endpage and the blocksize. @@ -64,6 +52,18 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # so start page of one block equals the end page of previous block startpage = PreviousEndPage } + } else { + startpage = blocksize * (blocknumber - 1) + + if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || + (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN) || + dformat == FORMAT$GT3X || + dformat == FORMAT$AD_HOC_CSV) { + startpage = startpage + 1 # pages are numbered starting with page 1 + } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { + headerlength = 10 + startpage = startpage + headerlength + } } endpage = startpage + blocksize @@ -348,9 +348,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, }, silent = TRUE) if (length(sf) == 0) sf = params_rawdata[["rmc.sf"]] if (length(P) == 4) { # added PreviousLastValue and PreviousLastTime as output of read.myacc.csv - # P = as.matrix(P) # turned off 21-5-2019 if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 #added 30-6-2012 + P = c() ; switchoffLD = 1 filequality$filetooshort = TRUE } } else { From b582d2f3e9efff24569ad508f76fe21f2fa5e343 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 1 Jan 2024 23:33:44 -0500 Subject: [PATCH 032/149] startpage++ not always needed for AD_HOC_CSV only do startpage++ for FORMAT$AD_HOC_CSV if rmc.firstrow.acc is pointing at a row containing column names. Otherwise if there is no header with column names, or if rmc.firstrow.acc was pointing at the row after this header, we were skipping the first row of data for no reason. --- R/g.readaccfile.R | 15 +++++++++-- tests/testthat/test_greadaccfile.R | 41 +++++++++++++++++++++++++----- 2 files changed, 48 insertions(+), 8 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 863a821f0..58e6c4931 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -57,8 +57,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN) || - dformat == FORMAT$GT3X || - dformat == FORMAT$AD_HOC_CSV) { + dformat == FORMAT$GT3X) { startpage = startpage + 1 # pages are numbered starting with page 1 } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { headerlength = 10 @@ -311,6 +310,18 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P$data$time = as.numeric(P$data$time) } } else if (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV) { # user-specified csv format + # skip 1 more row only if rmc.firstrow.acc points at a row containing column names. + # This is only relevant for the first chunk of data. + if (blocknumber == 1) { + testheader = data.table::fread(filename, nrows = 2, skip = params_rawdata[["rmc.firstrow.acc"]]-1, + dec = decn, showProgress = FALSE, + header = TRUE, data.table=FALSE, stringsAsFactors=FALSE) + if (suppressWarnings(is.na(as.numeric(colnames(testheader)[1])))) { # first value is *not* a number, so file starts with a header + startpage = startpage + 1 + endpage = endpage + 1 + } + } + try(expr = {P = read.myacc.csv(rmc.file = filename, rmc.nrow = blocksize, rmc.skip = startpage, rmc.dec = params_rawdata[["rmc.dec"]], diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 84d661bd5..9e7996b5b 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -170,7 +170,10 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity # Create test file: No header, with temperature, with time. # The first row of the file will contain column names. - N = 3000 + # Have this file contain 6000 samples. We'll read it in 2 sets of 3000 lines, + # and if there are any lines unnecessarily skipped, then the second attempt to + # read a block of 3000 will return fewer than 3000 lines. + N = 6000 sf = 30 x = Sys.time()+((0:(N-1))/sf) timestamps = as.POSIXlt(x, origin="1970-1-1", tz = "Europe/London") @@ -195,7 +198,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity # Verify that full 3000 rows are still read. csv_read = g.readaccfile(testfile, blocksize = 10, blocknumber = 1, filequality = filequality, # blocksize is # of pages of 300 samples dayborder = dayborder, ws = 3, desiredtz = desiredtz, - PreviousEndPage = 1, inspectfileobject = AHcsv, + PreviousEndPage = c(), inspectfileobject = AHcsv, rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", rmc.firstrow.acc = 1, rmc.firstrow.header=c(), rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, @@ -204,13 +207,16 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(nrow(csv_read$P$data), 3000) expect_false(csv_read$filequality$filecorrupt) expect_false(csv_read$filequality$filetooshort) - expect_equal(sum(csv_read$P$data[c("x","y","z")]), -103.61, tolerance = .01, scale = 1) - + expect_equal(sum(csv_read$P$data[c("x","y","z")]), -38.90, tolerance = .01, scale = 1) + # endpage should be (# of rows read + 1) because for the next block we'll need to skip + # not just the rows read but also the row containing column names. + expect_equal(csv_read$endpage, 3001) + # since the 1st row of the file contains column names, pointing rmc.firstrow.acc 2 # should lead to the same eaxt 3000 lines being read (the lines after the column names). - csv_read2 = g.readaccfile(testfile, blocksize = 10, blocknumber = 1, filequality = filequality, # blocksize is # of pages of 300 samples + csv_read2 = g.readaccfile(testfile, blocksize = 10, blocknumber = 1, filequality = filequality, dayborder = dayborder, ws = 3, desiredtz = desiredtz, - PreviousEndPage = 1, inspectfileobject = AHcsv, + PreviousEndPage = c(), inspectfileobject = AHcsv, rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", rmc.firstrow.acc = 2, rmc.firstrow.header=c(), rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, @@ -220,6 +226,29 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_false(csv_read2$filequality$filecorrupt) expect_false(csv_read2$filequality$filetooshort) expect_equal(sum(csv_read2$P$data[c("x","y","z")]), sum(csv_read$P$data[c("x","y","z")]), tolerance = .01, scale = 1) + expect_equal(csv_read2$endpage, 3000) + + # reading the next 3000 lines should also give the same result for rmc.firstrow.acc == 1 or 2. + csv_read3 = g.readaccfile(testfile, blocksize = 10, blocknumber = 2, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = csv_read$endpage, inspectfileobject = AHcsv, + rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", + rmc.firstrow.acc = 1, rmc.firstrow.header=c(), + rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, + rmc.unit.acc = "g", rmc.unit.temp = "C", rmc.origin = "1970-01-01") + + expect_equal(nrow(csv_read3$P$data), 3000) + + csv_read4 = g.readaccfile(testfile, blocksize = 10, blocknumber = 2, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = csv_read2$endpage, inspectfileobject = AHcsv, + rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", + rmc.firstrow.acc = 2, rmc.firstrow.header=c(), + rmc.col.acc = c(1,3,4), rmc.col.temp = 5, rmc.col.time=2, + rmc.unit.acc = "g", rmc.unit.temp = "C", rmc.origin = "1970-01-01") + + expect_equal(nrow(csv_read4$P$data), 3000) + expect_equal(sum(csv_read3$P$data[c("x","y","z")]), sum(csv_read4$P$data[c("x","y","z")]), tolerance = .01, scale = 1) # test decimal separator recognition extraction decn = g.dotorcomma(cwafile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) From 3a3ffd3cb24604e5ec64f2a0eabf19f5d4a50c1b Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 3 Jan 2024 07:42:00 -0500 Subject: [PATCH 033/149] we don't expect factors in this input I think stringsAsFactors = TRUE was set simply in response to R changing the default stringsAsFactors from FALSE to TRUE. This is not necessary here, the default is fine. --- R/read.myacc.csv.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 64054c09c..83918c0ae 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -98,10 +98,10 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", header_tmp0 = header_tmp header_tmp = unlist(lapply(header_tmp[,1], FUN = mysplit)) if (length(header_tmp) > 2) { - header_tmp = data.frame(matrix(unlist(header_tmp), nrow = nrow(header_tmp0), byrow = T), stringsAsFactors = TRUE) + header_tmp = data.frame(matrix(unlist(header_tmp), nrow = nrow(header_tmp0), byrow = T), stringsAsFactors = FALSE) colnames(header_tmp) = NULL } else { - header_tmp = data.frame(matrix(unlist(header_tmp), nrow = 1, byrow = T), stringsAsFactors = TRUE) + header_tmp = data.frame(matrix(unlist(header_tmp), nrow = 1, byrow = T), stringsAsFactors = FALSE) colnames(header_tmp) = NULL } } @@ -323,7 +323,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", accelRes = GGIRread::resample(rawAccel, rawTime, timeRes, rawLast, interpolationType) # this is now the resampled acceleration data colnamesP = colnames(P) timeRes = as.POSIXct(timeRes, origin = rmc.origin, tz = configtz) - P = as.data.frame(accelRes, stringsAsFactors = TRUE) + P = as.data.frame(accelRes, stringsAsFactors = FALSE) P$time = timeRes P = P[,c(ncol(P),1:(ncol(P) - 1))] colnames(P) = colnamesP From 91c23df63d2af34181fbff001a50b6f5d6f3d573 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 3 Jan 2024 09:13:33 -0500 Subject: [PATCH 034/149] don't re-read header for later blocks of same file This only works for ad-hoc csv and Axivity cwa files. --- R/g.calibrate.R | 5 +- R/g.getmeta.R | 5 +- R/g.readaccfile.R | 13 ++-- R/read.myacc.csv.R | 160 ++++++++++++++++++++++-------------------- man/g.readaccfile.Rd | 6 +- man/read.myacc.csv.Rd | 7 +- 6 files changed, 109 insertions(+), 87 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 93db09f8d..f698b2159 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -98,6 +98,7 @@ g.calibrate = function(datafile, params_rawdata = c(), count = 1 #counter to keep track of the number of seconds that have been read LD = 2 #dummy variable used to identify end of file and to make the process stop switchoffLD = 0 #dummy variable part of "end of loop mechanism" + header = NULL while (LD > 1) { P = c() if (verbose == TRUE) { @@ -112,7 +113,9 @@ g.calibrate = function(datafile, params_rawdata = c(), accread = g.readaccfile(filename = datafile, blocksize = blocksize, blocknumber = i, filequality = filequality, ws = ws, PreviousEndPage = PreviousEndPage, inspectfileobject = INFI, - params_rawdata = params_rawdata, params_general = params_general) + params_rawdata = params_rawdata, params_general = params_general, + header = header) + header = accread$header P = accread$P switchoffLD = accread$switchoffLD PreviousEndPage = accread$endpage diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 41196006d..9fabbdf60 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -215,6 +215,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), metalong = NULL metashort = NULL } + header = NULL while (LD > 1) { P = c() if (verbose == TRUE) { @@ -235,7 +236,9 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), inspectfileobject = INFI, PreviousLastValue = PreviousLastValue, PreviousLastTime = PreviousLastTime, - params_rawdata = params_rawdata, params_general = params_general) + params_rawdata = params_rawdata, params_general = params_general, + header = header) + header = accread$header if ("PreviousLastValue" %in% names(accread$P)) { # output when reading ad-hoc csv P = accread$P[1:2] PreviousLastValue = accread$P$PreviousLastValue diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 58e6c4931..d0a6191c5 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -1,7 +1,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, ws, PreviousEndPage = 1, inspectfileobject = c(), PreviousLastValue = c(0, 0, 1), PreviousLastTime = NULL, - params_rawdata = c(), params_general = c(), ...) { + params_rawdata = c(), params_general = c(), header = NULL, ...) { #get input variables input = list(...) if (length(input) > 0 || @@ -155,7 +155,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, progressBar = FALSE, desiredtz = params_general[["desiredtz"]], configtz = params_general[["configtz"]], - interpolationType = params_rawdata[["interpolationType"]]) + interpolationType = params_rawdata[["interpolationType"]], + header = header) }, silent = TRUE) return(P) } @@ -167,12 +168,13 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, desiredtz = params_general[["desiredtz"]], configtz = params_general[["configtz"]], interpolationType = params_rawdata[["interpolationType"]], - frequency_tol = params_rawdata[["frequency_tol"]]) + frequency_tol = params_rawdata[["frequency_tol"]], + header = header) }, silent = TRUE) return(P) } } - + P = apply_readAxivity(bstart = startpage, bend = endpage) if (length(P) > 1) { # data reading succesful if (length(P$data) == 0) { # too short? @@ -355,7 +357,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, PreviousLastTime = PreviousLastTime, epochsize = params_general[["windowsizes"]][1:2], desiredtz = params_general[["desiredtz"]], - configtz = params_general[["configtz"]]) + configtz = params_general[["configtz"]], + header = header) }, silent = TRUE) if (length(sf) == 0) sf = params_rawdata[["rmc.sf"]] if (length(P) == 4) { # added PreviousLastValue and PreviousLastTime as output of read.myacc.csv diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 83918c0ae..55f171d08 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -24,7 +24,8 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", PreviousLastTime = NULL, epochsize = NULL, desiredtz = NULL, - configtz = NULL) { + configtz = NULL, + header = NULL) { if (!is.null(rmc.desiredtz) || !is.null(rmc.configtz)) { generalWarning = paste0("Argument rmc.desiredtz and rmc.configtz are scheduled to be deprecated", @@ -66,87 +67,90 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", skip = skip + rmc.skip } - # bitrate should be or header item name as character, or the actual numeric bit rate - # unit.temp can take C(elsius), F(ahrenheit), and K(elvin) and converts it into Celsius - # Note all argument names start with rmc (read myacc csv) to avoid name clashes when passed on throughout GGIR - if (length(rmc.firstrow.header) == 0) { # no header block - sf = rmc.sf - header = "no header" - } else { - # extract header information: - if (length(rmc.header.length) == 0) { - rmc.header.length = rmc.firstrow.acc - 1 - } - - options(warn = -1) # fread complains about quote in first row for some file types - header_tmp = data.table::fread(file = rmc.file, - nrows = rmc.header.length, - skip = rmc.firstrow.header - 1, - dec = rmc.dec, showProgress = FALSE, header = FALSE, - blank.lines.skip = TRUE, - data.table=FALSE, stringsAsFactors=FALSE) - options(warn = 0) - if (length(rmc.header.structure) != 0) { # header is stored in 1 column, with strings that need to be split - if (length(header_tmp) == 1) { # one header item - header_tmp = as.matrix(unlist(strsplit(as.character(header_tmp[,1]), rmc.header.structure))) - } else { # multiple header items - mysplit = function(x){ - tmp = strsplit(as.character(x), rmc.header.structure) - tmp = unlist(tmp) - return(tmp) + # only extract the header if it hasn't been extracted for this file before + if (is.null(header)) { + # bitrate should be or header item name as character, or the actual numeric bit rate + # unit.temp can take C(elsius), F(ahrenheit), and K(elvin) and converts it into Celsius + # Note all argument names start with rmc (read myacc csv) to avoid name clashes when passed on throughout GGIR + if (length(rmc.firstrow.header) == 0) { # no header block + sf = rmc.sf + header = "no header" + } else { + # extract header information: + if (length(rmc.header.length) == 0) { + rmc.header.length = rmc.firstrow.acc - 1 + } + + options(warn = -1) # fread complains about quote in first row for some file types + header_tmp = data.table::fread(file = rmc.file, + nrows = rmc.header.length, + skip = rmc.firstrow.header - 1, + dec = rmc.dec, showProgress = FALSE, header = FALSE, + blank.lines.skip = TRUE, + data.table=FALSE, stringsAsFactors=FALSE) + options(warn = 0) + if (length(rmc.header.structure) != 0) { # header is stored in 1 column, with strings that need to be split + if (length(header_tmp) == 1) { # one header item + header_tmp = as.matrix(unlist(strsplit(as.character(header_tmp[,1]), rmc.header.structure))) + } else { # multiple header items + mysplit = function(x){ + tmp = strsplit(as.character(x), rmc.header.structure) + tmp = unlist(tmp) + return(tmp) + } + header_tmp0 = header_tmp + header_tmp = unlist(lapply(header_tmp[,1], FUN = mysplit)) + if (length(header_tmp) > 2) { + header_tmp = data.frame(matrix(unlist(header_tmp), nrow = nrow(header_tmp0), byrow = T), stringsAsFactors = FALSE) + colnames(header_tmp) = NULL + } else { + header_tmp = data.frame(matrix(unlist(header_tmp), nrow = 1, byrow = T), stringsAsFactors = FALSE) + colnames(header_tmp) = NULL + } } - header_tmp0 = header_tmp - header_tmp = unlist(lapply(header_tmp[,1], FUN = mysplit)) - if (length(header_tmp) > 2) { - header_tmp = data.frame(matrix(unlist(header_tmp), nrow = nrow(header_tmp0), byrow = T), stringsAsFactors = FALSE) - colnames(header_tmp) = NULL - } else { - header_tmp = data.frame(matrix(unlist(header_tmp), nrow = 1, byrow = T), stringsAsFactors = FALSE) - colnames(header_tmp) = NULL + if (ncol(header_tmp) == 1) header_tmp = t(header_tmp) + header_tmp2 = as.data.frame(as.character(unlist(header_tmp[,2])), stringsAsFactors = FALSE) + row.names(header_tmp2) = header_tmp[,1] + colnames(header_tmp2) = NULL + header = header_tmp2 + } else { # column 1 is header name, column 2 is header value + colnames(header_tmp) = NULL + validrows = which(is.na(header_tmp[,1]) == FALSE & header_tmp[,1] != "") + header_tmp = header_tmp[validrows,1:2] + header_tmp2 = as.data.frame(header_tmp[,2], stringsAsFactors = FALSE) + row.names(header_tmp2) = header_tmp[,1] + colnames(header_tmp2) = NULL + header = header_tmp2 + } + # assess whether accelerometer data conversion is needed + if (length(rmc.bitrate) > 0 & length(rmc.dynamic_range) > 0 & rmc.unit.acc == "bit") { + if (is.character(rmc.bitrate[1]) == TRUE) { # extract bitrate if it is in the header + rmc.bitrate = as.numeric(header[which(row.names(header) == rmc.bitrate[1]),1]) } + if (is.character(rmc.dynamic_range[1]) == TRUE) { # extract dynamic range if it is in the header + rmc.dynamic_range = as.numeric(header[which(row.names(header) == rmc.dynamic_range[1]),1]) + } } - if (ncol(header_tmp) == 1) header_tmp = t(header_tmp) - header_tmp2 = as.data.frame(as.character(unlist(header_tmp[,2])), stringsAsFactors = FALSE) - row.names(header_tmp2) = header_tmp[,1] - colnames(header_tmp2) = NULL - header = header_tmp2 - } else { # column 1 is header name, column 2 is header value - colnames(header_tmp) = NULL - validrows = which(is.na(header_tmp[,1]) == FALSE & header_tmp[,1] != "") - header_tmp = header_tmp[validrows,1:2] - header_tmp2 = as.data.frame(header_tmp[,2], stringsAsFactors = FALSE) - row.names(header_tmp2) = header_tmp[,1] - colnames(header_tmp2) = NULL - header = header_tmp2 - } - # assess whether accelerometer data conversion is needed - if (length(rmc.bitrate) > 0 & length(rmc.dynamic_range) > 0 & rmc.unit.acc == "bit") { - if (is.character(rmc.bitrate[1]) == TRUE) { # extract bitrate if it is in the header - rmc.bitrate = as.numeric(header[which(row.names(header) == rmc.bitrate[1]),1]) + # extract sample frequency: + sf = as.numeric(header[which(row.names(header) == rmc.headername.sf[1]),1]) + sn = as.numeric(header[which(row.names(header) == rmc.headername.sn[1]),1]) + ID = as.numeric(header[which(row.names(header) == rmc.headername.recordingid[1]),1]) + + # standardise key header names to ease use elsewhere in GGIR: + if (length(rmc.headername.sf) > 0) { + row.names(header)[which(row.names(header) == rmc.headername.sf[1])] = "sample_rate" + } + if (length(rmc.headername.sn) > 0) { + row.names(header)[which(row.names(header) == rmc.headername.sn[1])] = "device_serial_number" + } + if (length(rmc.headername.recordingid) > 0) { + row.names(header)[which(row.names(header) == rmc.headername.recordingid[1])] = "recordingID" + } + if (length(sf) == 0) { + sf = rmc.sf # if sf not retrieved from header than use default + header = rbind(header,1) # add it also to the header + row.names(header)[nrow(header)] = "sample_rate" } - if (is.character(rmc.dynamic_range[1]) == TRUE) { # extract dynamic range if it is in the header - rmc.dynamic_range = as.numeric(header[which(row.names(header) == rmc.dynamic_range[1]),1]) - } - } - # extract sample frequency: - sf = as.numeric(header[which(row.names(header) == rmc.headername.sf[1]),1]) - sn = as.numeric(header[which(row.names(header) == rmc.headername.sn[1]),1]) - ID = as.numeric(header[which(row.names(header) == rmc.headername.recordingid[1]),1]) - - # standardise key header names to ease use elsewhere in GGIR: - if (length(rmc.headername.sf) > 0) { - row.names(header)[which(row.names(header) == rmc.headername.sf[1])] = "sample_rate" - } - if (length(rmc.headername.sn) > 0) { - row.names(header)[which(row.names(header) == rmc.headername.sn[1])] = "device_serial_number" - } - if (length(rmc.headername.recordingid) > 0) { - row.names(header)[which(row.names(header) == rmc.headername.recordingid[1])] = "recordingID" - } - if (length(sf) == 0) { - sf = rmc.sf # if sf not retrieved from header than use default - header = rbind(header,1) # add it also to the header - row.names(header)[nrow(header)] = "sample_rate" } } # read data from file diff --git a/man/g.readaccfile.Rd b/man/g.readaccfile.Rd index 8f622863a..4e9a5706c 100644 --- a/man/g.readaccfile.Rd +++ b/man/g.readaccfile.Rd @@ -12,7 +12,7 @@ g.readaccfile(filename, blocksize, blocknumber, filequality, ws, PreviousEndPage = 1, inspectfileobject = c(), PreviousLastValue = c(0,0,1), PreviousLastTime = NULL, - params_rawdata = c(), params_general = c(), ...) + params_rawdata = c(), params_general = c(), header = NULL, ...) } \arguments{ \item{filename}{ @@ -50,6 +50,10 @@ \item{params_general}{ See \link{g.part1} } + \item{header}{ + Header information that was extracted the previous time this file was read, + to be re-used instead of being extracted again. + } \item{...}{ Any input arguments needed for function \link{read.myacc.csv} if you are working with a non-standard csv formatted files. Furter, diff --git a/man/read.myacc.csv.Rd b/man/read.myacc.csv.Rd index 73e6320a6..b7ef9b752 100644 --- a/man/read.myacc.csv.Rd +++ b/man/read.myacc.csv.Rd @@ -37,7 +37,8 @@ PreviousLastTime = NULL, epochsize = NULL, desiredtz = NULL, - configtz = NULL) + configtz = NULL, + header = NULL) } \arguments{ \item{rmc.file}{ @@ -173,6 +174,10 @@ Timezone in which device was configured. If equal to desiredtz you can leave this in its default value. } + \item{header}{ + Header information that was extracted the previous time this file was read, + to be re-used instead of being extracted again. + } } \details{ To use this function in the context of GGIR use all arguments from this function, From e23600b52d4cf48d3c87f2ded87f5c12be8c1cde Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 3 Jan 2024 09:17:54 -0500 Subject: [PATCH 035/149] minor clarification --- R/g.readaccfile.R | 3 ++- man/g.readaccfile.Rd | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index d0a6191c5..b16cb61f8 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -38,10 +38,11 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, blocksize = blocksize * 300 } + if (blocknumber < 1) blocknumber = 1 # startpage should only be specified for blocknumber 1. # The next time (blocknumber > 1) the startpage will be derived from the previous # endpage and the blocksize. - if (blocknumber != 1 && length(PreviousEndPage) != 0) { + if (blocknumber > 1 && length(PreviousEndPage) != 0) { if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$GT3X) { # only in GENEActiv binary data and for gt3x format data # page selection is defined from start to end (including end) diff --git a/man/g.readaccfile.Rd b/man/g.readaccfile.Rd index 4e9a5706c..920acc449 100644 --- a/man/g.readaccfile.Rd +++ b/man/g.readaccfile.Rd @@ -22,7 +22,7 @@ Size of blocks (in file pages) to be read } \item{blocknumber}{ - Block number relative to start of file + Block number relative to start of file, starting with 1. } \item{filequality}{ Single row dataframe with columns: filetooshort, filecorrupt, From 668bf790e8912b67678419e69f98b3902a021b16 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 3 Jan 2024 17:42:58 -0500 Subject: [PATCH 036/149] as.numeric() returns NA on failure; length(NA)==1 So if (length(sf) == 0) condition was never TRUE when it was supposed to. Also adding rmc.sf to the header, not 1, since it should be the same value as that used for sf=rmc.sf --- R/read.myacc.csv.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 55f171d08..811d715f7 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -69,7 +69,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", # only extract the header if it hasn't been extracted for this file before if (is.null(header)) { - # bitrate should be or header item name as character, or the actual numeric bit rate + # bitrate should be either header item name as character, or the actual numeric bit rate. # unit.temp can take C(elsius), F(ahrenheit), and K(elvin) and converts it into Celsius # Note all argument names start with rmc (read myacc csv) to avoid name clashes when passed on throughout GGIR if (length(rmc.firstrow.header) == 0) { # no header block @@ -146,9 +146,9 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", if (length(rmc.headername.recordingid) > 0) { row.names(header)[which(row.names(header) == rmc.headername.recordingid[1])] = "recordingID" } - if (length(sf) == 0) { - sf = rmc.sf # if sf not retrieved from header than use default - header = rbind(header,1) # add it also to the header + if (is.na(sf)) { + sf = rmc.sf # if sf not retrieved from header then use default + header = rbind(header, sf) # add it also to the header row.names(header)[nrow(header)] = "sample_rate" } } From 5eb9a8105ea54ec89680085e5846e32d77e52a2a Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 3 Jan 2024 17:59:55 -0500 Subject: [PATCH 037/149] check if sf is in header under "sample_rate", not rmc.headername.sf If sf was indeed in the file header but under "sample_rate", not under a different label specified in rmc.headername.sf, then trying to assign "sample_rate" name to another row of the header was causing a crash ("duplicate 'row.names' are not allowed"). So taking care of this edge case -- it's probably rare, but happened in our unit test --- R/read.myacc.csv.R | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 811d715f7..c6e2e69c4 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -136,6 +136,17 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", sn = as.numeric(header[which(row.names(header) == rmc.headername.sn[1]),1]) ID = as.numeric(header[which(row.names(header) == rmc.headername.recordingid[1]),1]) + if (is.na(sf)) { # sf not retrieved from header + # first see if maybe sf *is* in the header, just not under the rmc.headername.sf name + sf = as.numeric(header[which(row.names(header) == "sample_rate"),1]) + # if sf isn't in the header under the default name either, then use the default value + if (is.na(sf)) { + sf = rmc.sf + header = rbind(header, sf) # add it also to the header + row.names(header)[nrow(header)] = "sample_rate" + } + } + # standardise key header names to ease use elsewhere in GGIR: if (length(rmc.headername.sf) > 0) { row.names(header)[which(row.names(header) == rmc.headername.sf[1])] = "sample_rate" @@ -146,11 +157,6 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", if (length(rmc.headername.recordingid) > 0) { row.names(header)[which(row.names(header) == rmc.headername.recordingid[1])] = "recordingID" } - if (is.na(sf)) { - sf = rmc.sf # if sf not retrieved from header then use default - header = rbind(header, sf) # add it also to the header - row.names(header)[nrow(header)] = "sample_rate" - } } } # read data from file From 18a99f6a4e0820f7f9a40035c285b65cb74ba6db Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 4 Jan 2024 14:45:30 -0500 Subject: [PATCH 038/149] remove unused variables --- R/read.myacc.csv.R | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index c6e2e69c4..718f1512a 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -123,7 +123,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", header = header_tmp2 } # assess whether accelerometer data conversion is needed - if (length(rmc.bitrate) > 0 & length(rmc.dynamic_range) > 0 & rmc.unit.acc == "bit") { + if (length(rmc.bitrate) > 0 && length(rmc.dynamic_range) > 0 && rmc.unit.acc == "bit") { if (is.character(rmc.bitrate[1]) == TRUE) { # extract bitrate if it is in the header rmc.bitrate = as.numeric(header[which(row.names(header) == rmc.bitrate[1]),1]) } @@ -133,8 +133,6 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", } # extract sample frequency: sf = as.numeric(header[which(row.names(header) == rmc.headername.sf[1]),1]) - sn = as.numeric(header[which(row.names(header) == rmc.headername.sn[1]),1]) - ID = as.numeric(header[which(row.names(header) == rmc.headername.recordingid[1]),1]) if (is.na(sf)) { # sf not retrieved from header # first see if maybe sf *is* in the header, just not under the rmc.headername.sf name From c3ea42dd042f2469f418f43064b315199ac28bc7 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 5 Jan 2024 00:06:41 -0500 Subject: [PATCH 039/149] these have no point, get overwritten right away --- R/read.myacc.csv.R | 2 -- 1 file changed, 2 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 718f1512a..87ea6caf2 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -317,7 +317,6 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", PreviousLastTime = as.POSIXct(P[nrow(P), "time"]) } if (rmc.doresample == TRUE) { #resample - rawTime = vector(mode = "numeric", nrow(P)) rawTime = as.numeric(as.POSIXct(P$time,tz = configtz)) rawAccel = as.matrix(P[,-c(which(colnames(P) == "time"))]) step = 1/sf @@ -326,7 +325,6 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", timeRes = seq(start, end, step) nr = length(timeRes) - 1 timeRes = as.vector(timeRes[1:nr]) - accelRes = matrix(0,nrow = nr, ncol = ncol(rawAccel), dimnames = list(NULL,colnames(rawAccel))) rawLast = nrow(rawAccel) accelRes = GGIRread::resample(rawAccel, rawTime, timeRes, rawLast, interpolationType) # this is now the resampled acceleration data colnamesP = colnames(P) From 97b9aeefb6a3ddfe596806bc6e14ffb73d6d2738 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 8 Jan 2024 11:21:00 -0500 Subject: [PATCH 040/149] temperature is read in readaccfile --- R/g.getmeta.R | 29 +++++++++-------------------- R/g.readaccfile.R | 6 +++--- 2 files changed, 12 insertions(+), 23 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 9fabbdf60..5619fb0ad 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -104,7 +104,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), filename = unlist(strsplit(as.character(datafile),"/")) filename = filename[length(filename)] # parameters - ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] #window sizes + ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] if ((ws2/60) != round(ws2/60)) { ws2 = as.numeric(60 * ceiling(ws2/60)) if (verbose == TRUE) { @@ -122,7 +122,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } } params_general[["windowsizes"]] = c(ws3,ws2,ws) - data = PreviousEndPage = PreviousStartPage = starttime = wday = wdayname = c() + data = PreviousEndPage = starttime = wday = wdayname = c() filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, filedoesnotholdday = FALSE, NFilePagesSkipped = 0, stringsAsFactors = TRUE) @@ -171,7 +171,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } } if (LD > 1) { - if (sf == 0) stop("Sample frequency not recognised") #assume 80Hertz in the absense of any other info + if (sf == 0) stop("Sample frequency not recognised") header = INFI$header ID = hvars$ID @@ -192,20 +192,16 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), # NR = ceiling((90*10^6) / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) NR = ceiling(nev / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) metashort = matrix(" ",NR,(1 + nmetrics)) #generating output matrix for acceleration signal - if (mon == MONITOR$ACTIGRAPH || mon == MONITOR$VERISENSE || (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) || - (mon == MONITOR$AD_HOC && length(params_rawdata[["rmc.col.temp"]]) == 0)) { - temp.available = FALSE - } else if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) || - mon == MONITOR$MOVISENS || (mon == MONITOR$AD_HOC && length(params_rawdata[["rmc.col.temp"]]) > 0)) { - temp.available = TRUE - } + temp.available = ("temperature" %in% colnames(P$data)) QClog = NULL + + # output matrix for 15 minutes summaries if (temp.available == FALSE) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) #generating output matrix for 15 minutes summaries + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) } else if (temp.available == TRUE && mon != MONITOR$MOVISENS && mon != MONITOR$AD_HOC) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) #generating output matrix for 15 minutes summaries + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) } else if (temp.available == TRUE && (mon == MONITOR$MOVISENS || mon == MONITOR$AD_HOC)) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) #generating output matrix for 15 minutes summaries + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) } #=============================================== # Read file @@ -257,13 +253,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), options(warn = -1) # to ignore warnings relating to failed mmap.load attempt rm(accread); gc() options(warn = 0) # to ignore warnings relating to failed mmap.load attempt - if (mon == MONITOR$MOVISENS) { # if movisens, then read temperature - PreviousStartPage = startpage - temperature = g.readtemp_movisens(datafile, desiredtz = params_general[["desiredtz"]], PreviousStartPage, - PreviousEndPage, interpolationType = params_rawdata[["interpolationType"]]) - P = cbind(P, temperature[1:nrow(P)]) - colnames(P)[4] = "temp" - } options(warn = 0) #turn on warnings #============ #process data as read from binary file diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index b16cb61f8..b25741447 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -286,9 +286,9 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } else { colnames(P$data) = c("x", "y", "z") # there may or may not be a temp.bin file containing temperature - try(expr = {P$temp = g.readtemp_movisens(dirname(filename), desiredtz = params_general[["desiredtz"]], - from = startpage, to = endpage, - interpolationType = params_rawdata[["interpolationType"]]) + try(expr = {P$data$temperature = g.readtemp_movisens(filename, desiredtz = params_general[["desiredtz"]], + from = startpage, to = endpage, + interpolationType = params_rawdata[["interpolationType"]]) }, silent = TRUE) } } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { From bd45fb8bc271834e00cda42622e434b1c63075e6 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 8 Jan 2024 15:27:38 -0500 Subject: [PATCH 041/149] update to use.temp made in get_starttime_weekday_meantemp_truncdata was being lost for all monitor types except ad hoc --- R/g.getmeta.R | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 5619fb0ad..05f132f09 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -352,15 +352,12 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), wday = SWMT$wday; wdayname = SWMT$wdayname params_general[["desiredtz"]] = SWMT$desiredtz; data = SWMT$data - if (mon == MONITOR$ACTIGRAPH || mon == MONITOR$VERISENSE || - (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) || - (mon == MONITOR$AD_HOC && use.temp == FALSE)) { - metricnames_long = c("timestamp","nonwearscore","clippingscore","en") - } else if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA)) { + if (use.temp && ("light" %in% colnames(data))) { metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") - } else if (mon == MONITOR$MOVISENS || (mon == MONITOR$AD_HOC && use.temp == TRUE)) { - # at the moment read.myacc.csv does not facilitate extracting light data, so only temperature is used + } else if (use.temp) { metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") + } else { + metricnames_long = c("timestamp","nonwearscore","clippingscore","en") } rm(SWMT) if (exists("P")) rm(P); gc() From 21b78b1bea9209f120fd41f19a296000d00da01f Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 8 Jan 2024 12:09:07 -0500 Subject: [PATCH 042/149] location of light and temp columns is now standard Also the wear column doesn't seem to be used --- R/g.getmeta.R | 50 +++++++------------ R/get_starttime_weekday_meantemp_truncdata.R | 24 ++------- ...et_starttime_weekday_meantemp_truncdata.Rd | 4 +- 3 files changed, 24 insertions(+), 54 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 05f132f09..598d7766f 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -193,14 +193,15 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), NR = ceiling(nev / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) metashort = matrix(" ",NR,(1 + nmetrics)) #generating output matrix for acceleration signal temp.available = ("temperature" %in% colnames(P$data)) + light.available = ("light" %in% colnames(P$data)) QClog = NULL # output matrix for 15 minutes summaries - if (temp.available == FALSE) { + if (!temp.available) { metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) - } else if (temp.available == TRUE && mon != MONITOR$MOVISENS && mon != MONITOR$AD_HOC) { + } else if (light.available) { { metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) - } else if (temp.available == TRUE && (mon == MONITOR$MOVISENS || mon == MONITOR$AD_HOC)) { + } else { metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) } #=============================================== @@ -352,7 +353,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), wday = SWMT$wday; wdayname = SWMT$wdayname params_general[["desiredtz"]] = SWMT$desiredtz; data = SWMT$data - if (use.temp && ("light" %in% colnames(data))) { + if (use.temp && light.available) { metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") } else if (use.temp) { metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") @@ -369,7 +370,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), LD = 0 #ignore rest of the data and store what has been loaded so far. } - #store data that could not be used for this block, but will be added to next block if (LD >= (ws*sf)) { @@ -400,30 +400,14 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), dur = nrow(data) #duration of experiment in data points durexp = nrow(data) / (sf*ws) #duration of experiment in hrs #-------------------------------------------- - if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) || mon == MONITOR$MOVISENS || - (mon == MONITOR$AD_HOC && length(params_rawdata[["rmc.col.temp"]]) > 0)) { - if (mon == MONITOR$GENEACTIV) { - temperaturecolumn = 6; lightcolumn = 5 - } else if (mon == MONITOR$AXIVITY) { - temperaturecolumn = 5; lightcolumn = 7 - if (gyro_available == TRUE) { - temperaturecolumn = temperaturecolumn + 3 - lightcolumn = lightcolumn + 3 - } - } else if (mon == MONITOR$MOVISENS) { - temperaturecolumn = 4 - } else if (mon == MONITOR$AD_HOC) { - temperaturecolumn = which(colnames(data) == "temperature") - } - if (mon != MONITOR$AD_HOC && mon != MONITOR$MOVISENS) { - light = as.numeric(data[, lightcolumn]) - } - if (mon == MONITOR$AD_HOC && length(params_rawdata[["rmc.col.wear"]]) > 0) { - wearcol = as.character(data[, which(colnames(data) == "wear")]) - suppressWarnings(storage.mode(wearcol) <- "logical") - } - temperature = as.numeric(data[, temperaturecolumn]) + temperature = light = c() + if (light.available) { + light = as.numeric(data$light) } + if (use.temp) { + temperature = as.numeric(data$temperature) + } + # Initialization of variables data_scaled = FALSE if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { @@ -443,9 +427,9 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } data_scaled = TRUE } else if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { - yy = as.matrix(cbind(as.numeric(data[,temperaturecolumn]), - as.numeric(data[,temperaturecolumn]), - as.numeric(data[,temperaturecolumn]))) + yy = as.matrix(cbind(temperature, + temperature, + temperature)) data = data[,2:4] data[,1:3] = scale(as.matrix(data[,1:3]),center = -offset, scale = 1/scale) + scale(yy, center = rep(meantemp,3), scale = 1/tempoffset) #rescale data @@ -461,9 +445,9 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } else if ((dformat == FORMAT$CSV || dformat == FORMAT$AD_HOC_CSV) && (mon != MONITOR$AXIVITY)) { # Any brand that is not Axivity with csv or Movisense format data if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AD_HOC && use.temp == TRUE)) { - tempcolumnvalues = as.numeric(as.character(data[,temperaturecolumn])) + tempcolumnvalues = as.numeric(as.character(data$temperature)) yy = as.matrix(cbind(tempcolumnvalues, tempcolumnvalues, tempcolumnvalues)) - meantemp = mean(as.numeric(data[,temperaturecolumn])) + meantemp = mean(temperature) if (length(meantempcal) == 0) meantempcal = meantemp } if (ncol(data) == 3) data = data[,1:3] diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index 604c90cbb..9675cf991 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -1,31 +1,17 @@ -get_starttime_weekday_meantemp_truncdata = function(temp.available, monc, dformat, data, +get_starttime_weekday_meantemp_truncdata = function(use.temp, monc, dformat, data, P, header, desiredtz, sf, i, datafile, ws2, starttime, wday, wdayname, configtz = NULL) { #ensures that first window starts at logical timepoint relative to its size # (15,30,45 or 60 minutes of each hour) start_meas = ws2/60 - if (temp.available == TRUE) { - use.temp = TRUE - } else { - use.temp = FALSE - } meantemp = c() - if (monc == MONITOR$GENEACTIV || (monc == MONITOR$AXIVITY && dformat == FORMAT$CWA) || monc == MONITOR$MOVISENS || (monc == MONITOR$AD_HOC && use.temp == TRUE)) { - if (monc == MONITOR$GENEACTIV) { - if ("temperature" %in% colnames(data)) { - tempcolumn = which(colnames(data) == "temperature") #GGIRread - } else { - tempcolumn = 7 - } - } - if (monc == MONITOR$AXIVITY || monc == MONITOR$AD_HOC) tempcolumn = 5 - if (monc == MONITOR$MOVISENS) tempcolumn = 4 - meantemp = mean(as.numeric(data[, tempcolumn]), na.rm = TRUE) - if (is.na(meantemp) == T) { #mean(as.numeric(data[1:10,7])) + if (use.temp) { + meantemp = mean(as.numeric(data$temperature, na.rm = TRUE)) + if (is.na(meantemp) == T) { warning("temperature is NA", call. = FALSE) meantemp = 0 use.temp = FALSE - } else if (mean(as.numeric(data[1:10,tempcolumn])) > 50) { + } else if (mean(as.numeric(data$temperature[1:10])) > 50) { warning("temperature value is unreaslistically high (> 50 Celcius)", call. = FALSE) meantemp = 0 use.temp = FALSE diff --git a/man/get_starttime_weekday_meantemp_truncdata.Rd b/man/get_starttime_weekday_meantemp_truncdata.Rd index a7e6a0838..ef0527c3b 100644 --- a/man/get_starttime_weekday_meantemp_truncdata.Rd +++ b/man/get_starttime_weekday_meantemp_truncdata.Rd @@ -12,12 +12,12 @@ corresponding weekday and mean temperature (if temperature is available). } \usage{ - get_starttime_weekday_meantemp_truncdata(temp.available, monc, + get_starttime_weekday_meantemp_truncdata(use.temp, monc, dformat, data, P, header, desiredtz, sf, i, datafile, ws2, starttime, wday, wdayname, configtz = NULL) } \arguments{ - \item{temp.available}{ + \item{use.temp}{ Boolean whether temperate is available. } \item{monc}{ From 490489f78a921a8bc3428ccd8d7c0b450da83f1f Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 8 Jan 2024 17:52:32 -0500 Subject: [PATCH 043/149] XYZ and time columns are now standardized --- R/g.getmeta.R | 81 ++++++++++++--------------------------------------- 1 file changed, 18 insertions(+), 63 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 598d7766f..ab9e56e4d 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -212,7 +212,11 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), metalong = NULL metashort = NULL } + + PreviousLastValue = c(0, 0, 1) + PreviousLastTime = NULL header = NULL + while (LD > 1) { P = c() if (verbose == TRUE) { @@ -225,8 +229,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), options(warn = -1) #turn off warnings (code complains about unequal rowlengths - if (!exists("PreviousLastValue")) PreviousLastValue = c(0, 0, 1) - if (!exists("PreviousLastTime")) PreviousLastTime = NULL accread = g.readaccfile(filename = datafile, blocksize = blocksize, blocknumber = i, filequality = filequality, ws = ws, PreviousEndPage = PreviousEndPage, @@ -253,75 +255,28 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), startpage = accread$startpage options(warn = -1) # to ignore warnings relating to failed mmap.load attempt rm(accread); gc() - options(warn = 0) # to ignore warnings relating to failed mmap.load attempt options(warn = 0) #turn on warnings #============ #process data as read from binary file if (length(P) > 0) { #would have been set to zero if file was corrupt or empty - - if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { - data = P$data - } else if (dformat == FORMAT$CSV) { #csv (Actigraph or ad-hoc csv format) - if (params_rawdata[["imputeTimegaps"]] == TRUE) { - P = as.data.frame(P) - if (ncol(P) == 3) { - timeCol = c() - xyzCol = names(P)[1:3] - } else if (ncol(P) == 4) { - timeCol = names(P)[1] - xyzCol = names(P)[2:4] - } - if (!exists("PreviousLastValue")) PreviousLastValue = c(0, 0, 1) - if (!exists("PreviousLastTime")) PreviousLastTime = NULL - P = g.imputeTimegaps(P, xyzCol = xyzCol, timeCol = timeCol, sf = sf, k = 0.25, - PreviousLastValue = PreviousLastValue, - PreviousLastTime = PreviousLastTime, - epochsize = c(ws3, ws2)) - QClog = rbind(QClog, P$QClog) - P = P$x - PreviousLastValue = as.numeric(P[nrow(P), xyzCol]) - if (is.null(timeCol)) PreviousLastTime = NULL else PreviousLastTime = as.POSIXct(P[nrow(P), timeCol]) - } - data = P - } else if (dformat == FORMAT$CWA) { - if (P$header$hardwareType == "AX6") { - # GGIR now ignores the AX6 gyroscope signals until added value has robustly been demonstrated. - # Note however that while AX6 is able to collect gyroscope data, it can also be configured - # to only collect accelerometer data, so only remove gyro data if it's present. - if (ncol(P$data) == 10) { - data = P$data[,-c(2:4)] - P$data = P$data[1:min(100,nrow(P$data)),-c(2:4)] # trim object, because rest of data is not needed anymore - } else { - data = P$data - P$data = P$data[1:min(100,nrow(P$data)),] # trim object, because rest of data is not needed anymore - } - gyro_available = FALSE - # If we ever want to use gyroscope data then - # comment out this if statement and set gyro_available = TRUE + data = P$data + QClog = rbind(QClog, P$QClog) + + if (params_rawdata[["imputeTimegaps"]] && (dformat == FORMAT$CSV || dformat == FORMAT$GT3X)) { + P = g.imputeTimegaps(data, xyzCol = c("x", "y", "z"), timeCol = "time", sf = sf, k = 0.25, + PreviousLastValue = PreviousLastValue, + PreviousLastTime = PreviousLastTime, + epochsize = c(ws3, ws2)) + data = P$x + PreviousLastValue = as.numeric(data[nrow(data), c("x", "y", "z")]) + if ("time" %in% colnames(data)) { + PreviousLastTime = as.POSIXct(data$time[nrow(data)]) } else { - data = P$data - P$data = P$data[1:min(100,nrow(P$data)),] # trim object, because rest of data is not needed anymore + PreviousLastTime = NULL } QClog = rbind(QClog, P$QClog) - } else if (dformat == FORMAT$AD_HOC_CSV) { - data = P$data - } else if (mon == MONITOR$MOVISENS) { - data = P - } else if (dformat == FORMAT$GT3X) { - if (params_rawdata[["imputeTimegaps"]] == TRUE) { - if (!exists("PreviousLastValue")) PreviousLastValue = c(0, 0, 1) - if (!exists("PreviousLastTime")) PreviousLastTime = NULL - P = g.imputeTimegaps(P, xyzCol = c("X", "Y", "Z"), timeCol = "time", sf = sf, k = 0.25, - PreviousLastValue = PreviousLastValue, - PreviousLastTime = PreviousLastTime, - epochsize = c(ws3, ws2)) - QClog = rbind(QClog, P$QClog) - P = P$x - PreviousLastValue = as.numeric(P[nrow(P), c("X", "Y", "Z")]) - PreviousLastTime = as.POSIXct(P[nrow(P), "time"]) - } - data = P[,2:ncol(P)] } + data = as.matrix(data, rownames.force = FALSE) #add left over data from last time if (nrow(S) > 0) { From 403aa32b032c75d0abfc4d0f9a8b21bc336279d3 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 9 Jan 2024 11:13:17 -0500 Subject: [PATCH 044/149] if sf is NULL (corrupt file), return right away Don't drag on till the very end of the module only to return empty values anyway. --- R/g.getmeta.R | 102 +++++++++++++++++++++++--------------------------- 1 file changed, 47 insertions(+), 55 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index ab9e56e4d..62bfe037b 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -142,20 +142,16 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), mon = INFI$monc dformat = INFI$dformc sf = INFI$sf - if (is.null(sf)) { - filequality$filecorrupt = TRUE - filecorrupt = TRUE - filetooshort = FALSE - filedoesnotholdday = FALSE - NFilePagesSkipped = 0 - QClog = NULL - LD = 0 # to prevent while loop and skip reading of file - deviceSerialNumber = "notExtracted" - } - if (LD > 1) { - hvars = g.extractheadervars(INFI) - deviceSerialNumber = hvars$deviceSerialNumber + + if (is.null(sf)) { # sf is NULL for corrupt files + return(invisible(list(filecorrupt = TRUE, filetooshort = FALSE, NFilePagesSkipped = 0, + metalong = c(), metashort = c(), wday = c(), wdayname = c(), + windowsizes = c(), bsc_qc = bsc_qc, QClog = NULL))) } + + hvars = g.extractheadervars(INFI) + deviceSerialNumber = hvars$deviceSerialNumber + # if GENEActiv csv, deprecated function if (mon == MONITOR$GENEACTIV && dformat == FORMAT$CSV && length(params_rawdata[["rmc.firstrow.acc"]]) == 0) { stop("The GENEActiv csv reading functionality is deprecated in GGIR from the version 2.6-4 onwards. Please, use either the GENEActiv bin files or try to read the csv files with GGIR::read.myacc.csv") @@ -170,48 +166,44 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), params_rawdata[["dynrange"]] = 6 } } - if (LD > 1) { - if (sf == 0) stop("Sample frequency not recognised") - header = INFI$header - ID = hvars$ID - - # get now-wear, clip, and blocksize parameters (thresholds) - ncb_params = get_nw_clip_block_params(chunksize = params_rawdata[["chunksize"]], - dynrange = params_rawdata[["dynrange"]], - mon, rmc.noise = params_rawdata[["rmc.noise"]], - sf, dformat, - rmc.dynamic_range = params_rawdata[["rmc.dynamic_range"]]) - clipthres = ncb_params$clipthres - blocksize = ncb_params$blocksize - sdcriter = ncb_params$sdcriter - racriter = ncb_params$racriter - n_decimal_places = 4 # number of decimal places to which features should be rounded - #creating matrixes for storing output - S = matrix(0,0,4) #dummy variable needed to cope with head-tailing succeeding blocks of data - nev = 80*10^7 # number expected values - # NR = ceiling((90*10^6) / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) - NR = ceiling(nev / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) - metashort = matrix(" ",NR,(1 + nmetrics)) #generating output matrix for acceleration signal - temp.available = ("temperature" %in% colnames(P$data)) - light.available = ("light" %in% colnames(P$data)) - QClog = NULL - # output matrix for 15 minutes summaries - if (!temp.available) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) - } else if (light.available) { { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) - } else { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) - } - #=============================================== - # Read file - switchoffLD = 0 #dummy variable part "end of loop mechanism" - sforiginal = sf + if (sf == 0) stop("Sample frequency not recognised") + header = INFI$header + ID = hvars$ID + + # get now-wear, clip, and blocksize parameters (thresholds) + ncb_params = get_nw_clip_block_params(chunksize = params_rawdata[["chunksize"]], + dynrange = params_rawdata[["dynrange"]], + mon, rmc.noise = params_rawdata[["rmc.noise"]], + sf, dformat, + rmc.dynamic_range = params_rawdata[["rmc.dynamic_range"]]) + clipthres = ncb_params$clipthres + blocksize = ncb_params$blocksize + sdcriter = ncb_params$sdcriter + racriter = ncb_params$racriter + n_decimal_places = 4 # number of decimal places to which features should be rounded + #creating matrixes for storing output + S = matrix(0,0,4) #dummy variable needed to cope with head-tailing succeeding blocks of data + nev = 80*10^7 # number expected values + # NR = ceiling((90*10^6) / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) + NR = ceiling(nev / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) + metashort = matrix(" ",NR,(1 + nmetrics)) #generating output matrix for acceleration signal + temp.available = ("temperature" %in% colnames(P$data)) + light.available = ("light" %in% colnames(P$data)) + QClog = NULL + + # output matrix for 15 minutes summaries + if (!temp.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) + } else if (light.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) } else { - metalong = NULL - metashort = NULL + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) } + #=============================================== + # Read file + switchoffLD = 0 #dummy variable part "end of loop mechanism" + sforiginal = sf PreviousLastValue = c(0, 0, 1) PreviousLastTime = NULL @@ -280,14 +272,14 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), data = as.matrix(data, rownames.force = FALSE) #add left over data from last time if (nrow(S) > 0) { - if (params_rawdata[["imputeTimegaps"]] == TRUE) { + if (params_rawdata[["imputeTimegaps"]]) { if ("remaining_epochs" %in% colnames(data)) { if (ncol(S) == (ncol(data) - 1)) { # this block has time gaps while the previous block did not S = cbind(S, 1) colnames(S)[4] = "remaining_epochs" } - } else if ("remaining_epochs" %in% colnames(S) == TRUE) { + } else if ("remaining_epochs" %in% colnames(S)) { if ((ncol(S) - 1) == ncol(data)) { # this block does not have time gaps while the previous blog did data = cbind(data, 1) @@ -649,7 +641,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), i = i + 1 #go to next block } # deriving timestamps - if (filecorrupt == FALSE && filetooshort == FALSE && filedoesnotholdday == FALSE) { + if (!filecorrupt && !filetooshort && !filedoesnotholdday) { cut = count:nrow(metashort) if (length(cut) > 1) { tmp = metashort[-cut,] From 579f3ac1c5c6e9981cb2a526f09074ad53c548c6 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 9 Jan 2024 12:42:47 -0500 Subject: [PATCH 045/149] use same case for "en" column name in metalong? --- R/g.getmeta.R | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 62bfe037b..2a60383b9 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -270,7 +270,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } data = as.matrix(data, rownames.force = FALSE) - #add left over data from last time + #add leftover data from last time if (nrow(S) > 0) { if (params_rawdata[["imputeTimegaps"]]) { if ("remaining_epochs" %in% colnames(data)) { @@ -305,7 +305,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } else if (use.temp) { metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") } else { - metricnames_long = c("timestamp","nonwearscore","clippingscore","en") + metricnames_long = c("timestamp","nonwearscore","clippingscore","EN") } rm(SWMT) if (exists("P")) rm(P); gc() @@ -328,7 +328,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } } if ((LD - use) > 1) { - S = data[(use + 1):LD,] #store left over + S = data[(use + 1):LD,] #store leftover data if (ncol(S) == 1) { S = t(S) } From f81ee23346876c9e5e88bc1ea3bfee4fc2c6f73a Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 9 Jan 2024 14:53:46 -0500 Subject: [PATCH 046/149] simplify data resampling use meantempcal, not meantemp, since meantempcal is what was used for calibration. Maybe meantemp isn't needed in this module (not clear to me why it's calculated in several places). I'll revisit this later. --- R/g.getmeta.R | 66 ++++----------------------------------------------- 1 file changed, 5 insertions(+), 61 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 2a60383b9..6a99e2e78 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -355,71 +355,15 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), temperature = as.numeric(data$temperature) } - # Initialization of variables - data_scaled = FALSE - if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { - data = data[, 1:3] - data[, 1:3] = scale(data[, 1:3], center = -offset, scale = 1/scale) #rescale data - data_scaled = TRUE - } else if (mon == MONITOR$AXIVITY && (dformat == FORMAT$CWA || dformat == FORMAT$CSV)) { - extraction_succeeded = FALSE - if (gyro_available == TRUE) { - data[,5:7] = scale(data[,5:7],center = -offset, scale = 1/scale) #rescale data - extraction_succeeded = TRUE - data = data[, 2:7] - } - if (extraction_succeeded == FALSE) { - data[, 2:4] = scale(data[, 2:4],center = -offset, scale = 1/scale) #rescale data - data = data[,2:4] - } - data_scaled = TRUE - } else if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { + # rescale data + data[, c("x", "y", "z")] = scale(data[, c("x", "y", "z")],center = -offset, scale = 1/scale) + if (use.temp && length(meantempcal) > 0) { yy = as.matrix(cbind(temperature, temperature, temperature)) - data = data[,2:4] - data[,1:3] = scale(as.matrix(data[,1:3]),center = -offset, scale = 1/scale) + - scale(yy, center = rep(meantemp,3), scale = 1/tempoffset) #rescale data - rm(yy); gc() - data_scaled = TRUE - } else if (mon == MONITOR$MOVISENS) { - yy = as.matrix(cbind(as.numeric(data[,4]),as.numeric(data[,4]),as.numeric(data[,4]))) - data = data[,1:3] - data[,1:3] = scale(as.matrix(data[,1:3]),center = -offset, scale = 1/scale) + - scale(yy, center = rep(meantemp,3), scale = 1/tempoffset) #rescale data - rm(yy); gc() - data_scaled = TRUE - } else if ((dformat == FORMAT$CSV || dformat == FORMAT$AD_HOC_CSV) && (mon != MONITOR$AXIVITY)) { - # Any brand that is not Axivity with csv or Movisense format data - if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AD_HOC && use.temp == TRUE)) { - tempcolumnvalues = as.numeric(as.character(data$temperature)) - yy = as.matrix(cbind(tempcolumnvalues, tempcolumnvalues, tempcolumnvalues)) - meantemp = mean(temperature) - if (length(meantempcal) == 0) meantempcal = meantemp - } - if (ncol(data) == 3) data = data[,1:3] - if (ncol(data) >= 4) { - data = data[,2:4] - if (is(data[,1], "character")) { - data = apply(data, 2,as.numeric) - } - } - suppressWarnings(storage.mode(data) <- "numeric") - if ((mon == MONITOR$ACTIGRAPH || mon == MONITOR$AD_HOC || mon == MONITOR$VERISENSE) && use.temp == FALSE) { - data = scale(data,center = -offset, scale = 1/scale) #rescale data - } else if ((mon == MONITOR$GENEACTIV || mon == MONITOR$AD_HOC) && use.temp == TRUE) { - # meantemp replaced by meantempcal # 19-12-2013 - data = scale(data,center = -offset, scale = 1/scale) + - scale(yy, center = rep(meantempcal,3), scale = 1/tempoffset) #rescale data - rm(yy); gc() - } - data_scaled = TRUE + data[, c("x", "y", "z")] = data[, c("x", "y", "z")] + scale(yy, center = rep(meantempcal,3), scale = 1/tempoffset) } - if (data_scaled == FALSE) { - warning(paste0("\nAutocalibration was not applied, this should", - "not happen please contact GGIR maintainers")) - } - suppressWarnings(storage.mode(data) <- "numeric") + ## resample experiment to see whehter processing time can be much improved if data is resampled sfold = sforiginal # keep sf, because light, temperature are not resampled at the moment # STORE THE RAW DATA From 8033e091fa03458d6b77a803ff375847caa36a80 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 9 Jan 2024 15:24:15 -0500 Subject: [PATCH 047/149] remove remainders of unused resample experiment These were some remainders from experimental code introduced in https://github.com/wadpac/GGIR/commit/0173db9d83e7fce9ad1565dd28051a1a23067a30 where it was already commented out, and not used after that. --- R/g.getmeta.R | 22 ++++++++-------------- 1 file changed, 8 insertions(+), 14 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 6a99e2e78..b29e8a188 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -203,7 +203,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), #=============================================== # Read file switchoffLD = 0 #dummy variable part "end of loop mechanism" - sforiginal = sf PreviousLastValue = c(0, 0, 1) PreviousLastTime = NULL @@ -364,11 +363,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), data[, c("x", "y", "z")] = data[, c("x", "y", "z")] + scale(yy, center = rep(meantempcal,3), scale = 1/tempoffset) } - ## resample experiment to see whehter processing time can be much improved if data is resampled - sfold = sforiginal # keep sf, because light, temperature are not resampled at the moment - # STORE THE RAW DATA - # data[,1], data[,2], data[,3], starttime, (temperature, light) - EN = sqrt(data[,1]^2 + data[,2]^2 + data[,3]^2) # Do not delete Used for long epoch calculation accmetrics = g.applymetrics(data = data, sf = sf, ws3 = ws3, @@ -457,7 +451,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), blocksize = BlocksizeNew$blocksize ##================================================== # MODULE 2 - non-wear time & clipping - NWCW = detect_nonwear_clipping(data = data, windowsizes = c(ws3, ws2, ws), sf = sfold, + NWCW = detect_nonwear_clipping(data = data, windowsizes = c(ws3, ws2, ws), sf = sf, clipthres = clipthres, sdcriter = sdcriter, racriter = racriter, nonwear_approach = params_cleaning[["nonwear_approach"]], params_rawdata = params_rawdata) @@ -471,23 +465,23 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), if (mon == MONITOR$GENEACTIV || mon == MONITOR$AXIVITY) { #light (running mean) lightc = cumsum(c(0,light)) - select = seq(1, length(lightc), by = (ws2 * sfold)) + select = seq(1, length(lightc), by = (ws2 * sf)) lightmean = diff(lightc[round(select)]) / abs(diff(round(select))) rm(lightc); gc() #light (running max) lightmax = matrix(0, length(lightmean), 1) - for (li in 1:(length(light)/(ws2*sfold))) { - tempm = max(light[((li - 1) * (ws2 * sfold)):(li * (ws2 * sfold))]) + for (li in 1:(length(light)/(ws2*sf))) { + tempm = max(light[((li - 1) * (ws2 * sf)):(li * (ws2 * sf))]) if (length(tempm) > 0) { lightmax[li] = tempm[1] } else { - lightmax[li] = max(light[((li - 1) * (ws2 * sfold)):(li * (ws2 * sfold))]) + lightmax[li] = max(light[((li - 1) * (ws2 * sf)):(li * (ws2 * sf))]) } } } #temperature (running mean) temperaturec = cumsum(c(0, temperature)) - select = seq(1, length(temperaturec), by = (ws2 * sfold)) + select = seq(1, length(temperaturec), by = (ws2 * sf)) temperatureb = diff(temperaturec[round(select)]) / abs(diff(round(select))) rm(temperaturec); gc() } @@ -550,13 +544,13 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), # metalong metalong = impute_at_epoch_level(gapsize = floor(remaining_epochs[gaps_to_fill] * (ws3/ws2)) + 1, # plus 1 needed to count for current epoch timeseries = metalong, - gap_index = floor(gaps_to_fill / (ws2 * sfold)) + count2, # Using floor so that the gap is filled in the epoch in which it is occurring + gap_index = floor(gaps_to_fill / (ws2 * sf)) + count2, # Using floor so that the gap is filled in the epoch in which it is occurring metnames = metricnames_long) # metashort # added epoch-level nonwear to metashort to get it imputed, then remove it metashort = impute_at_epoch_level(gapsize = remaining_epochs[gaps_to_fill], # gapsize in epochs timeseries = metashort, - gap_index = floor(gaps_to_fill / (ws3 * sfold)) + count, # Using floor so that the gap is filled in the epoch in which it is occurring + gap_index = floor(gaps_to_fill / (ws3 * sf)) + count, # Using floor so that the gap is filled in the epoch in which it is occurring metnames = c("timestamp", metnames)) # epoch level index of gap nr_after = c(nrow(metalong), nrow(metashort)) count2 = count2 + (nr_after[1] - nr_before[1]) From 4c739a0d9ae1580c07629d7d5c5ff5d49aa77d7a Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 9 Jan 2024 15:29:22 -0500 Subject: [PATCH 048/149] remove unused variables INFI$header not used in this module --- R/g.getmeta.R | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index b29e8a188..d3bc43683 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -69,10 +69,11 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), do.brondcounts = params_metrics[["do.brondcounts"]], do.neishabouricounts = params_metrics[["do.neishabouricounts"]], stringsAsFactors = TRUE) + if (length(params_rawdata[["chunksize"]]) == 0) params_rawdata[["chunksize"]] = 1 if (params_rawdata[["chunksize"]] > 1.5) params_rawdata[["chunksize"]] = 1.5 if (params_rawdata[["chunksize"]] < 0.2) params_rawdata[["chunksize"]] = 0.2 - gyro_available = FALSE + nmetrics = sum(c(params_metrics[["do.bfen"]], params_metrics[["do.enmo"]], params_metrics[["do.lfenmo"]], params_metrics[["do.en"]], params_metrics[["do.hfen"]], params_metrics[["do.hfenplus"]], @@ -101,8 +102,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), if (length(nmetrics) == 0) { if (verbose == TRUE) cat("\nWARNING: No metrics selected\n") } - filename = unlist(strsplit(as.character(datafile),"/")) - filename = filename[length(filename)] # parameters ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] if ((ws2/60) != round(ws2/60)) { @@ -168,8 +167,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } if (sf == 0) stop("Sample frequency not recognised") - header = INFI$header - ID = hvars$ID # get now-wear, clip, and blocksize parameters (thresholds) ncb_params = get_nw_clip_block_params(chunksize = params_rawdata[["chunksize"]], From 3ad834f6cf4e70018a1b4b39eac9b50fa40294f2 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 9 Jan 2024 15:57:16 -0500 Subject: [PATCH 049/149] provide defaults for individual values of filequality they might not get assigned for a short/corrupt file --- R/g.getmeta.R | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index d3bc43683..00e769401 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -124,7 +124,12 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), data = PreviousEndPage = starttime = wday = wdayname = c() filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, - filedoesnotholdday = FALSE, NFilePagesSkipped = 0, stringsAsFactors = TRUE) + filedoesnotholdday = FALSE, NFilePagesSkipped = 0) + filetooshort = FALSE + filecorrupt = FALSE + filedoesnotholdday = FALSE + NFilePagesSkipped = 0 + i = 1 #counter to keep track of which binary block is being read count = 1 #counter to keep track of the number of seconds that have been read count2 = 1 #count number of blocks read with length "ws2" (long epoch, 15 minutes by default) From 6cf6f257ce3c1b03ffefb28e9e201d8782188b9a Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 9 Jan 2024 17:21:31 -0500 Subject: [PATCH 050/149] move dynrange manipulation into module using it --- R/g.getmeta.R | 27 +++++++++------------------ R/get_nw_clip_block_params.R | 14 +++++++++++++- man/get_nw_clip_block_params.Rd | 13 ++++++++----- 3 files changed, 30 insertions(+), 24 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 00e769401..de3b88e13 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -95,7 +95,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), if (length(myfun) != 0) { nmetrics = nmetrics + length(myfun$colnames) # check myfun object already, because we do not want to discover - # bugs after waiting for the data to be load + # bugs after waiting for the data to load check_myfun(myfun, params_general[["windowsizes"]]) } @@ -121,7 +121,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } } params_general[["windowsizes"]] = c(ws3,ws2,ws) - data = PreviousEndPage = starttime = wday = wdayname = c() + PreviousEndPage = starttime = wday = wdayname = c() filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, filedoesnotholdday = FALSE, NFilePagesSkipped = 0) @@ -135,7 +135,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), count2 = 1 #count number of blocks read with length "ws2" (long epoch, 15 minutes by default) LD = 2 #dummy variable used to identify end of file and to make the process stop bsc_qc = data.frame(time = c(), size = c(), stringsAsFactors = FALSE) - # inspect file if (length(inspectfileobject) > 0) { INFI = inspectfileobject @@ -153,6 +152,8 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), windowsizes = c(), bsc_qc = bsc_qc, QClog = NULL))) } + if (sf == 0) stop("Sample frequency not recognised") + hvars = g.extractheadervars(INFI) deviceSerialNumber = hvars$deviceSerialNumber @@ -160,24 +161,14 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), if (mon == MONITOR$GENEACTIV && dformat == FORMAT$CSV && length(params_rawdata[["rmc.firstrow.acc"]]) == 0) { stop("The GENEActiv csv reading functionality is deprecated in GGIR from the version 2.6-4 onwards. Please, use either the GENEActiv bin files or try to read the csv files with GGIR::read.myacc.csv") } - if (mon == MONITOR$ACTIGRAPH) { - # If Actigraph then try to specify dynamic range based on Actigraph model - if (length(grep(pattern = "CLE", x = deviceSerialNumber)) == 1) { - params_rawdata[["dynrange"]] = 6 - } else if (length(grep(pattern = "MOS", x = deviceSerialNumber)) == 1) { - params_rawdata[["dynrange"]] = 8 - } else if (length(grep(pattern = "NEO", x = deviceSerialNumber)) == 1) { - params_rawdata[["dynrange"]] = 6 - } - } - if (sf == 0) stop("Sample frequency not recognised") - # get now-wear, clip, and blocksize parameters (thresholds) ncb_params = get_nw_clip_block_params(chunksize = params_rawdata[["chunksize"]], dynrange = params_rawdata[["dynrange"]], - mon, rmc.noise = params_rawdata[["rmc.noise"]], - sf, dformat, + monc = mon, dformat = dformat, + deviceSerialNumber = deviceSerialNumber, + rmc.noise = params_rawdata[["rmc.noise"]], + sf = sf, rmc.dynamic_range = params_rawdata[["rmc.dynamic_range"]]) clipthres = ncb_params$clipthres blocksize = ncb_params$blocksize @@ -357,7 +348,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } # rescale data - data[, c("x", "y", "z")] = scale(data[, c("x", "y", "z")],center = -offset, scale = 1/scale) + data[, c("x", "y", "z")] = scale(data[, c("x", "y", "z")], center = -offset, scale = 1/scale) if (use.temp && length(meantempcal) > 0) { yy = as.matrix(cbind(temperature, temperature, diff --git a/R/get_nw_clip_block_params.R b/R/get_nw_clip_block_params.R index e088d96bf..952f4c713 100644 --- a/R/get_nw_clip_block_params.R +++ b/R/get_nw_clip_block_params.R @@ -1,4 +1,4 @@ -get_nw_clip_block_params = function(chunksize, dynrange, monc, rmc.noise=c(), sf, dformat, +get_nw_clip_block_params = function(chunksize, dynrange, monc, dformat, deviceSerialNumber = "", rmc.noise=c(), sf, rmc.dynamic_range) { blocksize = round(14512 * (sf/50) * chunksize) if (monc == MONITOR$GENEA) blocksize = round(21467 * (sf/80) * chunksize) @@ -17,6 +17,18 @@ get_nw_clip_block_params = function(chunksize, dynrange, monc, rmc.noise=c(), sf if (monc == MONITOR$MOVISENS) blocksize = sf * 60 * 1440 if (monc == MONITOR$VERISENSE && dformat == FORMAT$CSV) blocksize = round(blocksize) + + if (monc == MONITOR$ACTIGRAPH) { + # If Actigraph then try to specify dynamic range based on Actigraph model + if (length(grep(pattern = "CLE", x = deviceSerialNumber)) == 1) { + dynrange = 6 + } else if (length(grep(pattern = "MOS", x = deviceSerialNumber)) == 1) { + dynrange = 8 + } else if (length(grep(pattern = "NEO", x = deviceSerialNumber)) == 1) { + dynrange = 6 + } + } + # Clipping threshold: estimate number of data points of clipping based on raw data at about 87 Hz if (length(dynrange) > 0) { clipthres = dynrange - 0.5 diff --git a/man/get_nw_clip_block_params.Rd b/man/get_nw_clip_block_params.Rd index 52308fd30..bf8046ea6 100644 --- a/man/get_nw_clip_block_params.Rd +++ b/man/get_nw_clip_block_params.Rd @@ -9,8 +9,8 @@ Not designed for direct use by user. } \usage{ - get_nw_clip_block_params(chunksize, dynrange, monc, rmc.noise=c(), - sf, dformat, rmc.dynamic_range) + get_nw_clip_block_params(chunksize, dynrange, monc, dformat, deviceSerialNumber, + rmc.noise=c(), sf, rmc.dynamic_range) } \arguments{ \item{chunksize}{ @@ -22,6 +22,12 @@ \item{monc}{ See \link{g.inspectfile} } + \item{dformat}{ + See \link{g.dotorcomma} + } + \item{deviceSerialNumber}{ + As produced by \link{g.extractheadervars} + } \item{rmc.noise}{ Noise level of acceleration signal in _g_-units, used when working ad-hoc .csv data formats using \link{read.myacc.csv}. The \link{read.myacc.csv} does not take rmc.noise as argument, @@ -31,9 +37,6 @@ \item{sf}{ Numeric, sample frequency in Hertz } - \item{dformat}{ - See \link{g.dotorcomma} - } \item{rmc.dynamic_range}{ Optional, please see \link{read.myacc.csv} } From adbacee63f78d30dcb6dd7afe6d26719d9597154 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 10 Jan 2024 08:05:33 -0500 Subject: [PATCH 051/149] standardize light and temperature --- R/g.getmeta.R | 58 +++++++++++++++++++++++++-------------------------- 1 file changed, 29 insertions(+), 29 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index de3b88e13..1a3f0a817 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -452,49 +452,49 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), # metalong col_mli = 2 metalong[count2:((count2 - 1) + length(NWav)),col_mli] = NWav; col_mli = col_mli + 1 - metalong[(count2):((count2 - 1) + length(NWav)),col_mli] = CWav; col_mli = col_mli + 1 - if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) || - mon == MONITOR$MOVISENS || (mon == MONITOR$AD_HOC && length(params_rawdata[["rmc.col.temp"]]) != 0)) { # going from sample to ws2 - if (mon == MONITOR$GENEACTIV || mon == MONITOR$AXIVITY) { - #light (running mean) - lightc = cumsum(c(0,light)) - select = seq(1, length(lightc), by = (ws2 * sf)) - lightmean = diff(lightc[round(select)]) / abs(diff(round(select))) - rm(lightc); gc() - #light (running max) - lightmax = matrix(0, length(lightmean), 1) - for (li in 1:(length(light)/(ws2*sf))) { - tempm = max(light[((li - 1) * (ws2 * sf)):(li * (ws2 * sf))]) - if (length(tempm) > 0) { - lightmax[li] = tempm[1] - } else { - lightmax[li] = max(light[((li - 1) * (ws2 * sf)):(li * (ws2 * sf))]) - } + metalong[count2:((count2 - 1) + length(NWav)),col_mli] = CWav; col_mli = col_mli + 1 + + if(light.available) { + #light (running mean) + lightc = cumsum(c(0,light)) + select = seq(1, length(lightc), by = (ws2 * sf)) + lightmean = diff(lightc[round(select)]) / abs(diff(round(select))) + rm(lightc); gc() + #light (running max) + lightmax = matrix(0, length(lightmean), 1) + for (li in 1:(length(light)/(ws2*sf))) { + tempm = max(light[((li - 1) * (ws2 * sf)):(li * (ws2 * sf))]) + if (length(tempm) > 0) { + lightmax[li] = tempm[1] + } else { + lightmax[li] = max(light[((li - 1) * (ws2 * sf)):(li * (ws2 * sf))]) } } + + metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(lightmean, digits = n_decimal_places) + col_mli = col_mli + 1 + metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(lightmax, digits = n_decimal_places) + col_mli = col_mli + 1 + } + + if(use.temp) { #temperature (running mean) temperaturec = cumsum(c(0, temperature)) select = seq(1, length(temperaturec), by = (ws2 * sf)) temperatureb = diff(temperaturec[round(select)]) / abs(diff(round(select))) rm(temperaturec); gc() + + metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(temperatureb, digits = n_decimal_places) + col_mli = col_mli + 1 } + #EN going from sample to ws2 ENc = cumsum(c(0, EN)) select = seq(1, length(ENc), by = (ws2 * sf)) #<= EN is derived from data, so it needs the new sf ENb = diff(ENc[round(select)]) / abs(diff(round(select))) rm(ENc, EN); gc() - if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA)) { - metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(lightmean, digits = n_decimal_places) - col_mli = col_mli + 1 - metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(lightmax, digits = n_decimal_places) - col_mli = col_mli + 1 - metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(temperatureb, digits = n_decimal_places) - col_mli = col_mli + 1 - } else if (mon == MONITOR$MOVISENS || (mon == MONITOR$AD_HOC && length(params_rawdata[["rmc.col.temp"]]) != 0)) { - metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(temperatureb, digits = n_decimal_places) - col_mli = col_mli + 1 - } metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(ENb, digits = n_decimal_places) + if (exists("remaining_epochs")) { # Impute long gaps at epoch levels, because imputing them at raw level would # be too memory hungry From 5d6de3ed999e2e71b3ed06a802601d34bca57b4d Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 10 Jan 2024 09:05:30 -0500 Subject: [PATCH 052/149] don't convert strings to factors There shouldn't be any strings in this input. If there is an unexpected string, forcing it to a factor would hide the problem and could lead to unexpected results. --- R/g.getmeta.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 1a3f0a817..bd56f1511 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -68,7 +68,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), do.zcz = params_metrics[["do.zcz"]], do.brondcounts = params_metrics[["do.brondcounts"]], do.neishabouricounts = params_metrics[["do.neishabouricounts"]], - stringsAsFactors = TRUE) + stringsAsFactors = FALSE) if (length(params_rawdata[["chunksize"]]) == 0) params_rawdata[["chunksize"]] = 1 if (params_rawdata[["chunksize"]] > 1.5) params_rawdata[["chunksize"]] = 1.5 From f35c1b25338cb2a887c7551b7904136549421143 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 10 Jan 2024 10:18:28 -0500 Subject: [PATCH 053/149] accessed P$data before file is read by mistake --- R/g.getmeta.R | 28 +++++++++++++++------------- 1 file changed, 15 insertions(+), 13 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index bd56f1511..23ff61139 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -181,18 +181,8 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), # NR = ceiling((90*10^6) / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) NR = ceiling(nev / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) metashort = matrix(" ",NR,(1 + nmetrics)) #generating output matrix for acceleration signal - temp.available = ("temperature" %in% colnames(P$data)) - light.available = ("light" %in% colnames(P$data)) QClog = NULL - # output matrix for 15 minutes summaries - if (!temp.available) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) - } else if (light.available) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) - } else { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) - } #=============================================== # Read file switchoffLD = 0 #dummy variable part "end of loop mechanism" @@ -223,11 +213,23 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), header = header) header = accread$header if ("PreviousLastValue" %in% names(accread$P)) { # output when reading ad-hoc csv - P = accread$P[1:2] PreviousLastValue = accread$P$PreviousLastValue PreviousLastTime = accread$P$PreviousLastTime - } else { - P = accread$P + } + P = accread$P + + if (i == 1) { + temp.available = ("temperature" %in% colnames(P$data)) + light.available = ("light" %in% colnames(P$data)) + + # output matrix for 15 minutes summaries + if (!temp.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) + } else if (light.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) + } else { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) + } } filequality = accread$filequality filetooshort = filequality$filetooshort From 76cb1f5173f0d33a07267b35d5cbc097d7954656 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 10 Jan 2024 11:51:23 -0500 Subject: [PATCH 054/149] location of XYZ & temperature columns now standard --- R/g.calibrate.R | 140 ++++++++++-------------------------------------- 1 file changed, 29 insertions(+), 111 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index f698b2159..4559fa0fd 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -60,7 +60,6 @@ g.calibrate = function(datafile, params_rawdata = c(), return() } - # if GENEActiv csv, deprecated function if (mon == MONITOR$GENEACTIV && dformat == FORMAT$CSV && length(params_rawdata[["rmc.firstrow.acc"]]) == 0) { stop(paste0("The GENEActiv csv reading functionality is deprecated in", " GGIR from the version 2.6-4 onwards. Please, use either", @@ -74,13 +73,7 @@ g.calibrate = function(datafile, params_rawdata = c(), #creating matrices for storing output S = matrix(0,0,4) #dummy variable needed to cope with head-tailing succeeding blocks of data NR = ceiling((90*10^6) / (sf*ws4)) + 1000 #NR = number of 'ws4' second rows (this is for 10 days at 80 Hz) - if (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) || - mon == MONITOR$MOVISENS || (mon == MONITOR$AD_HOC && length(params_rawdata[["rmc.col.temp"]]) > 0)) { - meta = matrix(99999,NR,8) #for meta data - } else if (mon == MONITOR$ACTIGRAPH || (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) || - (mon == MONITOR$AD_HOC && length(params_rawdata[["rmc.col.temp"]]) == 0)) { - meta = matrix(99999,NR,7) - } + # setting size of blocks that are loaded (too low slows down the process) # the setting below loads blocks size of 12 hours (modify if causing memory problems) blocksize = round((14512 * (sf/50)) * (params_rawdata[["chunksize"]]*0.5)) @@ -119,46 +112,21 @@ g.calibrate = function(datafile, params_rawdata = c(), P = accread$P switchoffLD = accread$switchoffLD PreviousEndPage = accread$endpage - PreviousStartPage = accread$startpage + + if (i == 1) { + use.temp = ("temperature" %in% colnames(P$data)) + if (use.temp) { + meta = matrix(99999,NR,8) #for meta data + } else { + meta = matrix(99999,NR,7) + } + } + rm(accread); options(warn = 0) #turn on warnings #process data as read from binary file if (length(P) > 0) { #would have been set to zero if file was corrupt or empty - if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { - data = P$data - } else if (dformat == FORMAT$CSV || mon == MONITOR$MOVISENS) { - data = as.matrix(P) - } else if (dformat == FORMAT$CWA) { - if (P$header$hardwareType == "AX6") { # cwa AX6 - # Note 18-Feb-2020: For the moment GGIR ignores the AX6 gyroscope signals until robust sensor - # fusion algorithms and gyroscope metrics have been prepared. - # Note however that while AX6 is able to collect gyroscope data, it can also be configured - # to only collect accelerometer data, so only remove gyro data if it's present. - if (ncol(P$data) == 10) { - data = P$data[,-c(2:4)] - } else { - data = P$data - } - } else { - # cwa AX3 - data = P$data - } - } else if (dformat == FORMAT$AD_HOC_CSV) { - if ("timestamp" %in% colnames(P$data)) { - columns_to_use = 2:4 - } else { - columns_to_use = 1:3 - } - if ("temperature" %in% colnames(P$data)) { - columns_to_use = c(columns_to_use, which(colnames(P$data) == "temperature")) - use.temp = TRUE - } else { - use.temp = FALSE - } - data = P$data[, columns_to_use] - } else if (dformat == FORMAT$GT3X) { - data = as.matrix(P[,2:4]) - } + data = P$data rm(P) #add left over data from last time if (min(dim(S)) > 1) { @@ -168,8 +136,8 @@ g.calibrate = function(datafile, params_rawdata = c(), # current ActiGraph csv's are not with zeros but with last observation carried forward zeros = which(data[,1] == 0 & data[,2] == 0 & data[,3] == 0) if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || length(zeros) > 0) { - data = g.imputeTimegaps(x = as.data.frame(data), xyzCol = 1:3, timeCol = c(), sf = sf, impute = FALSE) - data = as.matrix(data$x) + data = g.imputeTimegaps(x = data, xyzCol = 1:3, timeCol = c(), sf = sf, impute = FALSE) + data = data$x } LD = nrow(data) #store data that could not be used for this block, but will be added to next block @@ -177,75 +145,26 @@ g.calibrate = function(datafile, params_rawdata = c(), if (length(use) > 0) { if (use > 0) { if (use != LD) { - S = as.matrix(data[(use + 1):LD,]) #store left over # as.matrix removed on 22May2019 because redundant - #S = data[(use+1):LD,] #store left over + S = data[(use + 1):LD,] # store leftover data } - data = as.matrix(data[1:use,]) + data = data[1:use,] LD = nrow(data) #redefine LD because there is less data - ##================================================== - # Initialization of variables - if (dformat != FORMAT$AD_HOC_CSV) { - suppressWarnings(storage.mode(data) <- "numeric") - } - if (dformat == FORMAT$CWA && mon == MONITOR$AXIVITY) { - Gx = data[,2]; Gy = data[,3]; Gz = data[,4] - use.temp = TRUE - } else if (dformat == FORMAT$CSV && mon == MONITOR$AXIVITY) { - Gx = data[,2]; Gy = data[,3]; Gz = data[,4] - use.temp = FALSE - } else if (dformat == FORMAT$GT3X && mon == MONITOR$ACTIGRAPH) { - Gx = data[,1]; Gy = data[,2]; Gz = data[,3] - use.temp = FALSE - } else if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { - Gx = data[,2]; Gy = data[,3]; Gz = data[,4] - use.temp = TRUE - } else if (mon == MONITOR$MOVISENS) { - Gx = data[,1]; Gy = data[,2]; Gz = data[,3] - use.temp = TRUE - } else if (dformat == FORMAT$AD_HOC_CSV) { - Gx = as.numeric(data[,1]); Gy = as.numeric(data[,2]); Gz = as.numeric(data[,3]) - } else if (dformat == FORMAT$CSV && mon != MONITOR$AXIVITY) { # csv and not AX (so, GENEAcitv) - data2 = matrix(NA,nrow(data),3) - if (ncol(data) == 3) extra = 0 - if (ncol(data) >= 4) extra = 1 - for (jij in 1:3) { - data2[,jij] = data[,(jij+extra)] - } - Gx = data[,1]; Gy = data[,2]; Gz = data[,3] - } - if (mon == MONITOR$GENEACTIV) { - if ("temperature" %in% colnames(data)) { - temperaturecolumn = which(colnames(data) == "temperature") #GGIRread - } else { - temperaturecolumn = 7 - } - temperature = as.numeric(data[,temperaturecolumn]) - } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) { - temperaturecolumn = 5 - temperature = as.numeric(data[,temperaturecolumn]) - } else if (dformat == FORMAT$AD_HOC_CSV && use.temp == TRUE) { - temperaturecolumn = 4 - temperature = as.numeric(data[,temperaturecolumn]) - } else if (mon == MONITOR$ACTIGRAPH) { - use.temp = FALSE - } else if (mon == MONITOR$MOVISENS) { - temperature = g.readtemp_movisens(datafile, params_general[["desiredtz"]], PreviousStartPage, PreviousEndPage, - interpolationType = params_rawdata[["interpolationType"]]) - data = cbind(data, temperature[1:nrow(data)]) - colnames(data)[4] = "temp" - temperaturecolumn = 4 - } - if ((mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) || mon == MONITOR$MOVISENS || mon == MONITOR$AD_HOC) && - use.temp == TRUE) { + Gx = data$x + Gy = data$y + Gz = data$z + + if(use.temp) { + temperature = as.numeric(data$temperature) + # ignore temperature if the values are unrealisticly high or NA - if (length(which(is.na(mean(as.numeric(data[1:10,temperaturecolumn]))) == T)) > 0) { + if (length(which(is.na(mean(temperature[1:10])) == T)) > 0) { warning("\ntemperature ignored for auto-calibration because values are NA\n") use.temp = FALSE - } else if (length(which(mean(as.numeric(data[1:10,temperaturecolumn])) > 120)) > 0) { + } else if (length(which(mean(temperature[1:10]) > 120)) > 0) { warning("\ntemperature ignored for auto-calibration because values are too high\n") use.temp = FALSE - } else if (sd(data[,temperaturecolumn], na.rm = TRUE) == 0) { + } else if (sd(temperature, na.rm = TRUE) == 0) { warning("\ntemperature ignored for auto-calibration because no variance in values\n") use.temp = FALSE } @@ -256,7 +175,7 @@ g.calibrate = function(datafile, params_rawdata = c(), EN = sqrt(Gx^2 + Gy^2 + Gz^2) D1 = g.downsample(EN,sf,ws4,ws2) EN2 = D1$var2 - #mean acceleration + # mean acceleration D1 = g.downsample(Gx,sf,ws4,ws2); GxM2 = D1$var2 D1 = g.downsample(Gy,sf,ws4,ws2); GyM2 = D1$var2 D1 = g.downsample(Gz,sf,ws4,ws2); GzM2 = D1$var2 @@ -369,9 +288,8 @@ g.calibrate = function(datafile, params_rawdata = c(), # START of Zhou Fang's code (slightly edited by vtv21 to use matrix meta_temp from above # instead the similar matrix generated by Zhou Fang's original code. This to allow for # more data to be used as meta_temp can now be based on 10 or more days of raw data - input = meta_temp[,2:4] #as.matrix() - if (use.temp == TRUE) { #at the moment i am always using temperature if mon == MONITOR$GENEACTIV - # mon == MONITOR$GENEACTIV & removed 19-11-2014 because it is redundant and would not allow for newer monitors to use it + input = meta_temp[,2:4] + if (use.temp == TRUE) { inputtemp = cbind(as.numeric(meta_temp[,8]),as.numeric(meta_temp[,8]),as.numeric(meta_temp[,8])) #temperature } else { inputtemp = matrix(0, nrow(input), ncol(input)) #temperature, here used as a dummy variable From dc02759159c8e45080a22adfbff14f99bd7b759e Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 10 Jan 2024 22:37:48 -0500 Subject: [PATCH 055/149] Fix temperature validation --- R/g.calibrate.R | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 4559fa0fd..d4149f25d 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -157,14 +157,15 @@ g.calibrate = function(datafile, params_rawdata = c(), if(use.temp) { temperature = as.numeric(data$temperature) - # ignore temperature if the values are unrealisticly high or NA - if (length(which(is.na(mean(temperature[1:10])) == T)) > 0) { - warning("\ntemperature ignored for auto-calibration because values are NA\n") + # ignore temperature if the values are unrealisticly high or not numeric + if (is.na(mean(temperature, na.rm = TRUE))) { + # mean() returns NA_real_ if it's calculated *not* on numeric (or logical coersed to numeric) values + warning("\ntemperature ignored for auto-calibration because there are non-numeric values\n") use.temp = FALSE - } else if (length(which(mean(temperature[1:10]) > 120)) > 0) { + } else if (mean(temperature[1:10], na.rm = TRUE) > 120) { warning("\ntemperature ignored for auto-calibration because values are too high\n") use.temp = FALSE - } else if (sd(temperature, na.rm = TRUE) == 0) { + } else if (sd(temperature, na.rm = TRUE) < 0.01) { warning("\ntemperature ignored for auto-calibration because no variance in values\n") use.temp = FALSE } From 7ee045f407f884d6ca7bfdb3faf62fb0da207ee6 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 11 Jan 2024 10:47:52 -0500 Subject: [PATCH 056/149] dotorcomma doesn't care about timestamps so it doesn't need to know the correct timezone, the default (system timezone) will suffice. --- R/g.dotorcomma.R | 6 +++--- R/g.readaccfile.R | 4 +--- man/g.dotorcomma.Rd | 5 +---- 3 files changed, 5 insertions(+), 10 deletions(-) diff --git a/R/g.dotorcomma.R b/R/g.dotorcomma.R index 6ec388c8a..011991994 100644 --- a/R/g.dotorcomma.R +++ b/R/g.dotorcomma.R @@ -1,4 +1,4 @@ -g.dotorcomma = function(inputfile, dformat, mon, desiredtz = "", ...) { +g.dotorcomma = function(inputfile, dformat, mon, ...) { #get input variables (relevant when read.myacc.csv is used) input = list(...) decn = getOption("OutDec") # extract system decimal separator @@ -48,8 +48,8 @@ g.dotorcomma = function(inputfile, dformat, mon, desiredtz = "", ...) { if (is.na(as.numeric(deci$data.out[2, 2])) == T & decn == ".") decn = "," } } else if (dformat == FORMAT$CWA) { - try(expr = {deci = GGIRread::readAxivity(filename = inputfile,start = 1, end = 10, desiredtz = desiredtz, - interpolationType = 1)$data},silent = TRUE) + try(expr = {deci = GGIRread::readAxivity(filename = inputfile, start = 1, end = 10, + interpolationType = 1)$data}, silent = TRUE) if (!exists("deci")) stop("Problem with reading .cwa file in GGIR function dotorcomma") if (is.na(suppressWarnings(as.numeric(deci[2,2]))) == T & decn == ".") decn = "," } else if (dformat == FORMAT$GT3X) { diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index b25741447..a8980f7ee 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -24,11 +24,9 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, sf = I$sf # detect dot or comma separator in the data file - op <- options(warn = -1) #turn off warnings + op <- options(warn = -1) # turn off warnings on.exit(options(op)) - options(warn = -1) # turn off warnings suppressWarnings(expr = {decn = g.dotorcomma(filename, dformat, mon, - desiredtz = params_general[["desiredtz"]], rmc.dec = params_rawdata[["rmc.dec"]])}) options(warn = 0) # turn on warnings diff --git a/man/g.dotorcomma.Rd b/man/g.dotorcomma.Rd index 93fd69043..e3f1b8812 100644 --- a/man/g.dotorcomma.Rd +++ b/man/g.dotorcomma.Rd @@ -9,7 +9,7 @@ should be interpretted } \usage{ - g.dotorcomma(inputfile,dformat,mon, desiredtz = "", ...) + g.dotorcomma(inputfile, dformat, mon, ...) } \arguments{ \item{inputfile}{ @@ -23,9 +23,6 @@ Monitor code (accelorometer brand): 0=undefined, 1=GENEA, 2=GENEActiv, 3=Actigraph, 4=Axivity, 5=Movisense, 6=Verisense } - \item{desiredtz}{ - Desired timezone, see documentation \link{g.getmeta} - } \item{...}{ Any input arguments needed for function \link{read.myacc.csv} if you are working with a non-standard csv formatted files. From 00d9921e1b660c299030afd28fd9a061b08a1643 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 11 Jan 2024 12:41:20 -0500 Subject: [PATCH 057/149] GGIRread::readGENEActiv can read fewer pages than requested Calling GGIRread::readGENEActiv again without specifying start and end is not necessary. If the file is too short to read all the requested pages, GGIRread::readGENEActiv will just read whatever data available, returning valid data no matter what end value was specified. It will not return an empty object just because there was less data than requested. There will be an error shown, "data error at i = %d: %s i: 231 stoll: no conversion" when the reader reaches the end of the file, but that doesn't break anything, and we are silencing this error anyway. Calling GGIRread::readGENEActiv with defaults for start and end will just lead to the same result as above. --- R/g.readaccfile.R | 34 ++++++++++------------------------ 1 file changed, 10 insertions(+), 24 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index a8980f7ee..54be70be4 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -72,32 +72,18 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, try(expr = {P = GGIRread::readGENEActiv(filename = filename, start = startpage, end = endpage, desiredtz = params_general[["desiredtz"]], configtz = params_general[["configtz"]])}, silent = TRUE) - - if (length(P) > 0) { - if (nrow(P$data.out) < (blocksize*300)) { - switchoffLD = 1 #last block - } - } - if (length(P) == 0) { # if first block isn't read then probably corrupt - if (blocknumber == 1) { - #try to read without specifying blocks (file too short) - try(expr = { - P = GGIRread::readGENEActiv(filename = filename, desiredtz = params_general[["desiredtz"]], - configtz = params_general[["configtz"]]) - }, silent = TRUE) - if (length(P) == 0) { - warning('\nFile possibly corrupt\n') - P = c(); switchoffLD = 1 - filequality$filecorrupt = TRUE - } #if not then P is now filled with data - } else { - P = c() #just no data in this last block - } - } - if (length(P) > 0) { + if (length(P) == 0 && blocknumber == 1) { # if first block isn't read then probably corrupt file + warning('\nFile possibly corrupt\n') + P = c(); switchoffLD = 1 + filequality$filecorrupt = TRUE + } else { names(P)[names(P) == "data.out"] = "data" - #check whether there is enough data + if (nrow(P$data) < (blocksize*300)) { + switchoffLD = 1 # last block + } + + # check whether there is enough data if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { P = c(); switchoffLD = 1 filequality$filetooshort = TRUE From a52adfb02ba8f2bbd2d4854c89f00f06ee55f73a Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 11 Jan 2024 13:23:48 -0500 Subject: [PATCH 058/149] cleanup --- R/g.readaccfile.R | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 54be70be4..b8c6a3507 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -112,14 +112,13 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } - #-------------- try(expr = { P$data = quiet(data.table::fread(filename, nrows = blocksize, skip = startpage, dec = decn, showProgress = FALSE, header = FALSE, # header should always be FALSE to prevent acceleration values from being mistaken for header when reading chunks 2 and on data.table=FALSE, stringsAsFactors=FALSE)) }, silent = TRUE) - if (length(P$data) > 1) { + if (length(P$data) > 0) { if (ncol(P$data) > 3) { P$data = P$data[, 2:4] # remove timestamp column, keep only XYZ columns } @@ -129,8 +128,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = c() ; switchoffLD = 1 filequality$filetooshort = TRUE } - } else { - P = c() } } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) { if (utils::packageVersion("GGIRread") < "0.3.0") { From adba24f13c700e6c4b0106fe1aeec2701f66f8cc Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 11 Jan 2024 13:33:33 -0500 Subject: [PATCH 059/149] don't lose data from the last block even if short Changing the logic to be similar to that for other monitor types. We only want to get rid of a short chunk of data if this was the first block (because then there's not enough data for meaningful analysis anyway). If it's not the first block, this short amount of data should be used and added at the end of the previosly read blocks. --- R/g.readaccfile.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index b8c6a3507..3215ace8a 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -163,9 +163,9 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = c() ; switchoffLD = 1 if (blocknumber == 1) filequality$filetooshort = TRUE } else { - if (nrow(P$data) < (sf * ws * 2 + 1)) { + if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { P = c() ; switchoffLD = 1 - if (blocknumber == 1) filequality$filetooshort = TRUE + filequality$filetooshort = TRUE } } } else { From d35b4061e17da00010a785d5e2ed7e42b9dfa8d6 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 11 Jan 2024 15:08:49 -0500 Subject: [PATCH 060/149] treat short & corrupt files uniformly --- R/g.readaccfile.R | 124 +++++++++++++++++----------------------------- 1 file changed, 45 insertions(+), 79 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 3215ace8a..e6d1ee484 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -72,24 +72,13 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, try(expr = {P = GGIRread::readGENEActiv(filename = filename, start = startpage, end = endpage, desiredtz = params_general[["desiredtz"]], configtz = params_general[["configtz"]])}, silent = TRUE) - if (length(P) == 0 && blocknumber == 1) { # if first block isn't read then probably corrupt file - warning('\nFile possibly corrupt\n') - P = c(); switchoffLD = 1 - filequality$filecorrupt = TRUE - } else { + if (length(P) > 0 && ("data.out" %in% names(P))) { names(P)[names(P) == "data.out"] = "data" if (nrow(P$data) < (blocksize*300)) { switchoffLD = 1 # last block } - - # check whether there is enough data - if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { - P = c(); switchoffLD = 1 - filequality$filetooshort = TRUE - } } - #=============== } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { # load rows 11:13 to investigate whether the file has a header # invisible because R complains about poor Actigraph file format, @@ -119,15 +108,13 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, data.table=FALSE, stringsAsFactors=FALSE)) }, silent = TRUE) if (length(P$data) > 0) { + if (ncol(P$data) < 3) { + P$data = c() + } if (ncol(P$data) > 3) { P$data = P$data[, 2:4] # remove timestamp column, keep only XYZ columns } - colnames(P$data)[1:3] = c("x", "y", "z") - - if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 - filequality$filetooshort = TRUE - } + colnames(P$data) = c("x", "y", "z") } } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) { if (utils::packageVersion("GGIRread") < "0.3.0") { @@ -158,17 +145,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } P = apply_readAxivity(bstart = startpage, bend = endpage) - if (length(P) > 1) { # data reading succesful - if (length(P$data) == 0) { # too short? - P = c() ; switchoffLD = 1 - if (blocknumber == 1) filequality$filetooshort = TRUE - } else { - if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 - filequality$filetooshort = TRUE - } - } - } else { + if (length(P) == 0) { # If data reading is not successful then try following steps to retrieve issue # I am not sure if this is still relevant after all the improvements to GGIRread # but leaving this in just in case it is still needed @@ -227,29 +204,22 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, dec = decn, showProgress = FALSE, header = FALSE, data.table=FALSE, stringsAsFactors=FALSE) }, silent = TRUE) - if (length(rawData) > 1) { - if (blocknumber == 1 && nrow(rawData) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 - filequality$filetooshort = TRUE - } else { - if (nrow(rawData) < blocksize) { #last block - switchoffLD = 1 - } - # resample the acceleration data, because AX3 data is stored at irregular time points - rawTime = rawData[,1] - rawAccel = as.matrix(rawData[,2:4]) - step = 1/sf - timeRes = seq(rawTime[1], rawTime[length(rawTime)], step) - timeRes = timeRes[1 : (length(timeRes) - 1)] - - # at the moment the function is designed for reading the 3 acceleration channels only, - # because that is the situation of the use-case we had. - accelRes = GGIRread::resample(rawAccel, rawTime, timeRes, nrow(rawAccel), params_rawdata[["interpolationType"]]) # this is now the resampled acceleration data - P$data = data.frame(timeRes, accelRes) - colnames(P$data) = c("time", "x", "y", "z") + if (length(rawData) > 0) { + if (nrow(rawData) < blocksize) { #last block + switchoffLD = 1 } - } else { - P = c() + # resample the acceleration data, because AX3 data is stored at irregular time points + rawTime = rawData[,1] + rawAccel = as.matrix(rawData[,2:4]) + step = 1/sf + timeRes = seq(rawTime[1], rawTime[length(rawTime)], step) + timeRes = timeRes[1 : (length(timeRes) - 1)] + + # at the moment the function is designed for reading the 3 acceleration channels only, + # because that is the situation of the use-case we had. + accelRes = GGIRread::resample(rawAccel, rawTime, timeRes, nrow(rawAccel), params_rawdata[["interpolationType"]]) # this is now the resampled acceleration data + P$data = data.frame(timeRes, accelRes) + colnames(P$data) = c("time", "x", "y", "z") } } else if (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN) { file_length = unisensR::getUnisensSignalSampleCount(dirname(filename), "acc.bin") @@ -258,32 +228,19 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, switchoffLD = 1 } P$data = unisensR::readUnisensSignalEntry(dirname(filename), "acc.bin", - startIndex = startpage, - endIndex = endpage) - if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { - P = c() - switchoffLD = 1 - filequality$filetooshort = TRUE - } else { - colnames(P$data) = c("x", "y", "z") - # there may or may not be a temp.bin file containing temperature - try(expr = {P$data$temperature = g.readtemp_movisens(filename, desiredtz = params_general[["desiredtz"]], - from = startpage, to = endpage, - interpolationType = params_rawdata[["interpolationType"]]) - }, silent = TRUE) - } + startIndex = startpage, + endIndex = endpage) + colnames(P$data) = c("x", "y", "z") + # there may or may not be a temp.bin file containing temperature + try(expr = {P$data$temperature = g.readtemp_movisens(filename, desiredtz = params_general[["desiredtz"]], + from = startpage, to = endpage, + interpolationType = params_rawdata[["interpolationType"]]) + }, silent = TRUE) } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { P$data = try(expr = {read.gt3x::read.gt3x(path = filename, batch_begin = startpage, batch_end = endpage, asDataFrame = TRUE)}, silent = TRUE) if (length(P$data) == 0 || inherits(P$data, "try-error") == TRUE) { # too short or no data at all - P = c() ; switchoffLD = 1 - if (blocknumber == 1) { - filequality$filetooshort = TRUE - filequality$filecorrupt = TRUE - } - } else if (nrow(P$data) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 - if (blocknumber == 1) filequality$filetooshort = TRUE + P$data = c() } else { # If data passes these checks then it is usefull colnames(P$data)[colnames(P$data) == "X"] = "x" colnames(P$data)[colnames(P$data) == "Y"] = "y" @@ -343,15 +300,24 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, header = header) }, silent = TRUE) if (length(sf) == 0) sf = params_rawdata[["rmc.sf"]] - if (length(P) == 4) { # added PreviousLastValue and PreviousLastTime as output of read.myacc.csv - if (blocknumber == 1 && nrow(P$data) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 - filequality$filetooshort = TRUE - } - } else { + } + + if (blocknumber == 1) { + # if first block isn't read then the file is probably corrupt + if(length(P$data) <= 1 || nrow(P$data) == 0) { + warning('\nFile empty, possibly corrupt.\n') P = c() + switchoffLD = 1 + filequality$filetooshort = TRUE + filequality$filecorrupt = TRUE + } else if (nrow(P$data) < (sf * ws * 2 + 1)) { + # not enough data for analysis + P = c() + switchoffLD = 1 + filequality$filetooshort = TRUE } } + invisible(list(P = P, filequality = filequality, switchoffLD = switchoffLD, From 57eb6cfa05e4db4f1f532df104656d0c3302a84b Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 11 Jan 2024 15:35:58 -0500 Subject: [PATCH 061/149] rename variable for readability --- R/g.calibrate.R | 6 +++--- R/g.getmeta.R | 8 ++++---- R/g.readaccfile.R | 20 ++++++++++---------- man/g.readaccfile.Rd | 3 +-- 4 files changed, 18 insertions(+), 19 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index d4149f25d..5c442ee7e 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -90,7 +90,7 @@ g.calibrate = function(datafile, params_rawdata = c(), i = 1 #counter to keep track of which binary block is being read count = 1 #counter to keep track of the number of seconds that have been read LD = 2 #dummy variable used to identify end of file and to make the process stop - switchoffLD = 0 #dummy variable part of "end of loop mechanism" + isLastBlock = FALSE # dummy variable part of "end of loop mechanism" header = NULL while (LD > 1) { P = c() @@ -110,7 +110,7 @@ g.calibrate = function(datafile, params_rawdata = c(), header = header) header = accread$header P = accread$P - switchoffLD = accread$switchoffLD + isLastBlock = accread$isLastBlock PreviousEndPage = accread$endpage if (i == 1) { @@ -220,7 +220,7 @@ g.calibrate = function(datafile, params_rawdata = c(), # cat("\nstop reading because there is not enough data in this block\n") } spherepopulated = 0 - if (switchoffLD == 1) { + if (isLastBlock) { LD = 0 } meta_temp = data.frame(V = meta, stringsAsFactors = FALSE) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 23ff61139..7cb7b2d13 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -185,7 +185,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), #=============================================== # Read file - switchoffLD = 0 #dummy variable part "end of loop mechanism" + isLastBlock = FALSE # dummy variable part "end of loop mechanism" PreviousLastValue = c(0, 0, 1) PreviousLastTime = NULL @@ -236,7 +236,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), filecorrupt = filequality$filecorrupt filedoesnotholdday = filequality$filedoesnotholdday NFilePagesSkipped = filequality$NFilePagesSkipped - switchoffLD = accread$switchoffLD + isLastBlock = accread$isLastBlock PreviousEndPage = accread$endpage startpage = accread$startpage options(warn = -1) # to ignore warnings relating to failed mmap.load attempt @@ -307,7 +307,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), LD = nrow(data) if (LD < (ws*sf) && i == 1) { warning('\nWarning data too short for doing non-wear detection 3\n') - switchoffLD = 1 + isLastBlock = TRUE LD = 0 #ignore rest of the data and store what has been loaded so far. } @@ -564,7 +564,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), LD = 0 #once LD < 1 the analysis stops, so this is a trick to stop it # stop reading because there is not enough data in this block } - if (switchoffLD == 1) LD = 0 + if (isLastBlock) LD = 0 if (ceiling(daylimit) != FALSE) { if (i == ceiling(daylimit)) { #to speed up testing only read first 'i' blocks of data LD = 0 #once LD < 1 the analysis stops, so this is a trick to stop it diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index e6d1ee484..9510ae5cc 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -66,7 +66,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, endpage = startpage + blocksize P = c() - switchoffLD = 0 + isLastBlock = FALSE if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { try(expr = {P = GGIRread::readGENEActiv(filename = filename, start = startpage, @@ -76,7 +76,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, names(P)[names(P) == "data.out"] = "data" if (nrow(P$data) < (blocksize*300)) { - switchoffLD = 1 # last block + isLastBlock = TRUE } } } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { @@ -170,11 +170,11 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P = apply_readAxivity(bstart = startpage, bend = endpage) if (length(P) > 1) { # data reading succesful if (length(P$data) == 0) { # if this still does not work then - P = c() ; switchoffLD = 1 + P = c() ; isLastBlock = TRUE if (blocknumber == 1) filequality$filetooshort = TRUE } else { if (nrow(P$data) < (sf * ws * 2 + 1)) { - P = c() ; switchoffLD = 1 + P = c() ; isLastBlock = TRUE if (blocknumber == 1) filequality$filetooshort = TRUE } else { filequality$NFilePagesSkipped = NFilePagesSkipped # store number of pages jumped @@ -205,8 +205,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, data.table=FALSE, stringsAsFactors=FALSE) }, silent = TRUE) if (length(rawData) > 0) { - if (nrow(rawData) < blocksize) { #last block - switchoffLD = 1 + if (nrow(rawData) < blocksize) { # last block + isLastBlock = TRUE } # resample the acceleration data, because AX3 data is stored at irregular time points rawTime = rawData[,1] @@ -225,7 +225,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, file_length = unisensR::getUnisensSignalSampleCount(dirname(filename), "acc.bin") if (endpage > file_length) { endpage = file_length - switchoffLD = 1 + isLastBlock = TRUE } P$data = unisensR::readUnisensSignalEntry(dirname(filename), "acc.bin", startIndex = startpage, @@ -307,19 +307,19 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if(length(P$data) <= 1 || nrow(P$data) == 0) { warning('\nFile empty, possibly corrupt.\n') P = c() - switchoffLD = 1 + isLastBlock = TRUE filequality$filetooshort = TRUE filequality$filecorrupt = TRUE } else if (nrow(P$data) < (sf * ws * 2 + 1)) { # not enough data for analysis P = c() - switchoffLD = 1 + isLastBlock = TRUE filequality$filetooshort = TRUE } } invisible(list(P = P, filequality = filequality, - switchoffLD = switchoffLD, + isLastBlock = isLastBlock, endpage = endpage, startpage = startpage)) } diff --git a/man/g.readaccfile.Rd b/man/g.readaccfile.Rd index 920acc449..56519dce9 100644 --- a/man/g.readaccfile.Rd +++ b/man/g.readaccfile.Rd @@ -66,8 +66,7 @@ \item \code{P} Block object extracted from file with format specific to accelerometer brand \item \code{filequality} Same as in function arguments - \item \code{switchoffLD} Boolean to indicate whether it is worth - continueing to read the next block of data or not + \item \code{isLastBlock} Boolean indicating whether this was the last block to read \item \code{endpage} Page number on which blocked ends, this will be used as input for argument PreviousEndPage when reading the next block. } From 55a2d2812944980f6f1f85c405dc1b80fd53ffd3 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 11 Jan 2024 18:02:33 -0500 Subject: [PATCH 062/149] replace cat() with warning() and remove some messages that aren't easy for users to understand. --- R/g.calibrate.R | 4 ---- R/g.getmeta.R | 13 +++++++------ 2 files changed, 7 insertions(+), 10 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 5c442ee7e..0f6e0779a 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -193,7 +193,6 @@ g.calibrate = function(datafile, params_rawdata = c(), if (count > (nrow(meta) - (2.5 * (3600/ws4) * 24))) { extension = matrix(99999, ((3600/ws4) * 24), ncol(meta)) meta = rbind(meta,extension) - if (verbose == TRUE) cat("\nvariabel meta extended\n") } #storing in output matrix meta[count:(count - 1 + length(EN2)), 1] = EN2 @@ -217,7 +216,6 @@ g.calibrate = function(datafile, params_rawdata = c(), } } else { LD = 0 #once LD < 1 the analysis stops, so this is a trick to stop it - # cat("\nstop reading because there is not enough data in this block\n") } spherepopulated = 0 if (isLastBlock) { @@ -277,7 +275,6 @@ g.calibrate = function(datafile, params_rawdata = c(), QC = "recalibration not done because not enough points on all sides of the sphere" } } else { - if (verbose == TRUE) cat(" No non-movement found\n") QC = "recalibration not done because no non-movement data available" meta_temp = c() } @@ -310,7 +307,6 @@ g.calibrate = function(datafile, params_rawdata = c(), scale(inputtemp, center = F, scale = 1/tempoffset)}, silent = TRUE) if (length(curr) == 0) { # set coefficients to default, because it did not work. - if (verbose == TRUE) cat("\nObject curr has length zero.") break } closestpoint = curr / sqrt(rowSums(curr^2)) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 7cb7b2d13..9ad7c8bc0 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -100,15 +100,16 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } if (length(nmetrics) == 0) { - if (verbose == TRUE) cat("\nWARNING: No metrics selected\n") + if (verbose == TRUE) warning("No metrics selected.", call. = FALSE) } # parameters ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] if ((ws2/60) != round(ws2/60)) { ws2 = as.numeric(60 * ceiling(ws2/60)) if (verbose == TRUE) { - cat("\nWARNING: The long windowsize needs to be a multitude of 1 minute periods. The\n") - cat(paste0("\nlong windowsize has now been automatically adjusted to: ", ws2, " seconds in order to meet this criteria.\n")) + warning(paste0("The long windowsize needs to be a multitude of 1 minute periods.\n", + "Long windowsize has now been automatically adjusted to ", + ws2, " seconds in order to meet this criteria."), call. = FALSE) } } if ((ws2/ws3) != round(ws2/ws3)) { @@ -116,8 +117,9 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), def2 = abs(def - ws3) ws3 = as.numeric(def[which(def2 == min(def2))]) if (verbose == TRUE) { - cat("\nWARNING: The long windowsize needs to be a multitude of short windowsize. The \n") - cat(paste0("\nshort windowsize has now been automatically adjusted to: ", ws3, " seconds in order to meet this criteria.\n")) + warning(paste0("The long windowsize needs to be a multitude of short windowsize.\n", + "The short windowsize has now been automatically adjusted to ", + ws3, " seconds in order to meet this criteria.\n"), call. = FALSE) } } params_general[["windowsizes"]] = c(ws3,ws2,ws) @@ -404,7 +406,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), metashort = rbind(metashort,extension) extension2 = matrix(" ", ((3600/ws2) * 24) + (totalgap * (ws2/ws3)), ncol(metalong)) #add another day to metashort once you reach the end of it metalong = rbind(metalong, extension2) - if (verbose == TRUE) cat("\nvariable metashort extended\n") } col_msi = 2 # Add metric time series to metashort object From d4a8bbd13211a98ca11e0baa79153a074db5fdf6 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 12 Jan 2024 21:19:36 -0500 Subject: [PATCH 063/149] cleanup --- R/g.getmeta.R | 1 - R/g.imputeTimegaps.R | 33 ++++++++++++--------------------- 2 files changed, 12 insertions(+), 22 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 9ad7c8bc0..f4eb7d9a6 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -240,7 +240,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), NFilePagesSkipped = filequality$NFilePagesSkipped isLastBlock = accread$isLastBlock PreviousEndPage = accread$endpage - startpage = accread$startpage options(warn = -1) # to ignore warnings relating to failed mmap.load attempt rm(accread); gc() options(warn = 0) #turn on warnings diff --git a/R/g.imputeTimegaps.R b/R/g.imputeTimegaps.R index 17627b25c..d10c9424c 100644 --- a/R/g.imputeTimegaps.R +++ b/R/g.imputeTimegaps.R @@ -6,28 +6,20 @@ g.imputeTimegaps = function(x, xyzCol, timeCol = c(), sf, k=0.25, impute = TRUE, longEpochSize = epochsize[2] } # dummy variables to control the process - remove_time_at_end = dummyTime = FirstRowZeros = imputelast = FALSE + remove_time_at_end = FirstRowZeros = imputelast = FALSE # initialize numberofgaps and GapsLength - NumberOfGaps = GapsLength = NULL + NumberOfGaps = GapsLength = 0 + # add temporary timecolumn to enable timegap imputation where there are zeros - if (length(timeCol) == 1) { - if (!(timeCol %in% colnames(x))) dummyTime = TRUE - } - if (length(timeCol) == 0 | dummyTime == TRUE) { - dummytime = Sys.time() - adhoc_time = seq(dummytime, dummytime + (nrow(x) - 1) * (1/sf), by = 1/sf) - if (length(adhoc_time) < nrow(x)) { - NotEnough = nrow(x) - length(adhoc_time) - adhoc_time = seq(dummytime, dummytime + (nrow(x) + NotEnough) * (1/sf), by = 1/sf) - } - x$time = adhoc_time[1:nrow(x)] + if (length(timeCol) == 0 || !(timeCol %in% colnames(x))) { + x$time = seq(from = Sys.time(), by = 1/sf, length.out = nrow(x)) timeCol = "time" remove_time_at_end = TRUE } - # define function to imputation at raw level + # define function for imputation at raw level imputeRaw = function(x, sf) { - # impute raw timestamps because timestamps still need to be meaningul when + # impute raw timestamps because timestamps still need to be meaningful when # resampling or when plotting gapp = which(x$gap != 1) if (length(gapp) > 0) { @@ -91,7 +83,7 @@ g.imputeTimegaps = function(x, xyzCol, timeCol = c(), sf, k=0.25, impute = TRUE, units(first_deltatime) = "secs" first_deltatime = as.numeric(first_deltatime) } - if (first_deltatime >= k) { # prevent trying to impute timegaps shorter than 2 samples + if (first_deltatime >= k) { # don't impute a timegap shorter than the minimum requested x = rbind(x[1,], x) x[1, timeCol] = PreviousLastTime x[1, xyzCol] = PreviousLastValue @@ -178,23 +170,22 @@ g.imputeTimegaps = function(x, xyzCol, timeCol = c(), sf, k=0.25, impute = TRUE, } } } else if (impute == FALSE) { - if (FirstRowZeros == TRUE) x = x[-1,] # since zeros[1] was removed in line 21 - if (imputelast == TRUE) x = x[-nrow(x),] # since zeros[length(zeros)] was removed in line 27 + if (FirstRowZeros == TRUE) x = x[-1,] # since zeros[1] was removed + if (imputelast == TRUE) x = x[-nrow(x),] # since zeros[length(zeros)] was removed } # impute last value? if (imputelast) x[nrow(x), xyzCol] = x[nrow(x) - 1, xyzCol] + if (remove_time_at_end == TRUE) { x = x[, grep(pattern = "time", x = colnames(x), invert = TRUE)] } - # keep only timestamp column + # keep only the time, not timestamp column if (all(c("time", "timestamp") %in% colnames(x))) { x = x[, grep(pattern = "timestamp", x = colnames(x), invert = TRUE)] } # QClog start = as.numeric(as.POSIXct(x[1,1], origin = "1970-1-1")) end = start + nrow(x) - if (is.null(GapsLength)) GapsLength = 0 - if (is.null(NumberOfGaps)) NumberOfGaps = 0 imputed = NumberOfGaps > 0 QClog = data.frame(imputed = imputed, start = start, end = end, From 3e53066265d84213249e66fdbb2d9f50ebb6d33e Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 13 Jan 2024 12:44:56 -0500 Subject: [PATCH 064/149] deducting NumberOfGaps isn't right While it *is* correct that x$gap == 1 means no gap, for all x$gap in x$gap[gapsi] this default 1 was overwritten with round(deltatime[gapsi] * sf). 1s remain only in x$gap[-gapsi], but we are only adding up x$gap[gapsi]. --- R/g.imputeTimegaps.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.imputeTimegaps.R b/R/g.imputeTimegaps.R index d10c9424c..2efebfdb4 100644 --- a/R/g.imputeTimegaps.R +++ b/R/g.imputeTimegaps.R @@ -96,7 +96,7 @@ g.imputeTimegaps = function(x, xyzCol, timeCol = c(), sf, k=0.25, impute = TRUE, if (NumberOfGaps > 0) { x$gap = 1 x$gap[gapsi] = round(deltatime[gapsi] * sf) # as.integer was problematic many decimals close to wholenumbers (but not whole numbers) resulting in 1 row less than expected - GapsLength = sum(x$gap[gapsi]) - NumberOfGaps # - numberOfGaps because x$gap == 1 means no gap + GapsLength = sum(x$gap[gapsi]) # normalisation to 1 G normalise = which(x$gap > 1) for (i_normalise in normalise) { From cd41e01b9369ff030a608648c640ceb5ee26f003 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 13 Jan 2024 18:14:14 -0500 Subject: [PATCH 065/149] fix expected gap durations --- tests/testthat/test_imputeTimegaps.R | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/tests/testthat/test_imputeTimegaps.R b/tests/testthat/test_imputeTimegaps.R index 86b44f269..b6cdd0fb3 100644 --- a/tests/testthat/test_imputeTimegaps.R +++ b/tests/testthat/test_imputeTimegaps.R @@ -11,7 +11,13 @@ test_that("timegaps are correctly imputed", { x_without_time = data.frame(X = 1:N, Y = 1:N, Z = 1:N) xyzCol = c("X", "Y", "Z") + # Duration of each consecutive gap is equal to the distance netween + # the sample right before and the sample right after the zeros that got removed to create this gap. + # So the duration of each gap is equal to the number of zeros + 1. + ngaps = 4 zeros = c(5:200, 6000:6500, 7000:7500, 8000:9500) + gaps_duration = length(zeros) + ngaps + gaps_duration = gaps_duration/sf/60 # TEST THAT SAME FILE WITH DIFFERENT FORMATS IS IMPUTED IN THE SAME WAY ---- # Format 1: with timestamp & with timegaps (no zeroes, incomplete dataset) @@ -58,9 +64,9 @@ test_that("timegaps are correctly imputed", { expect_equal(x2_imputed_QClog$timegaps_n, 4) expect_equal(x3_imputed_QClog$timegaps_n, 4) - expect_equal(x1_imputed_QClog$timegaps_min, length(zeros)/sf/60) - expect_equal(x2_imputed_QClog$timegaps_min, length(zeros)/sf/60) - expect_equal(x3_imputed_QClog$timegaps_min, length(zeros)/sf/60) + expect_equal(x1_imputed_QClog$timegaps_min, gaps_duration) + expect_equal(x2_imputed_QClog$timegaps_min, gaps_duration) + expect_equal(x3_imputed_QClog$timegaps_min, gaps_duration) # TEST IMPUTATION WHEN FIRST ROW IS NOT CONSECUTIVE TO PREVIOUS CHUNK ---- # Format 4: with timestamp & with timegaps (no zeroes, incomplete dataset) From 084b8f9e7f82542b4696db40e1cb448007d0284b Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 14 Jan 2024 22:58:34 -0500 Subject: [PATCH 066/149] treat short & corrupt files uniformly for all monitor types --- R/g.readaccfile.R | 19 ++----------------- 1 file changed, 2 insertions(+), 17 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 9510ae5cc..7ec1e58e6 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -169,29 +169,14 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # read the entire block: P = apply_readAxivity(bstart = startpage, bend = endpage) if (length(P) > 1) { # data reading succesful - if (length(P$data) == 0) { # if this still does not work then - P = c() ; isLastBlock = TRUE - if (blocknumber == 1) filequality$filetooshort = TRUE - } else { - if (nrow(P$data) < (sf * ws * 2 + 1)) { - P = c() ; isLastBlock = TRUE - if (blocknumber == 1) filequality$filetooshort = TRUE - } else { - filequality$NFilePagesSkipped = NFilePagesSkipped # store number of pages jumped - } - } + filequality$NFilePagesSkipped = NFilePagesSkipped # store number of pages jumped + # Add replications of Ptest to the beginning of P to achieve same data # length as under normal conditions P$data = rbind(do.call("rbind", replicate(NFilePagesSkipped, PtestStartPage$data, simplify = FALSE)), P$data) - } else { # Data reading still not succesful, so classify file as corrupt - P = c() - if (blocknumber == 1) filequality$filecorrupt = TRUE } - } else { - P = c() - if (blocknumber == 1) filequality$filecorrupt = TRUE } } if ("temp" %in% colnames(P$data)) { From bc3e8042de2b8b4ecbb494d96533e2cfadde3b8d Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 14 Jan 2024 23:04:37 -0500 Subject: [PATCH 067/149] always report a short block as last block --- R/g.readaccfile.R | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 7ec1e58e6..b6f333207 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -287,18 +287,22 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if (length(sf) == 0) sf = params_rawdata[["rmc.sf"]] } - if (blocknumber == 1) { - # if first block isn't read then the file is probably corrupt - if(length(P$data) <= 1 || nrow(P$data) == 0) { + # if first block isn't read then the file is probably corrupt + if (length(P$data) <= 1 || nrow(P$data) == 0) { + P = c() + isLastBlock = TRUE + if (blocknumber == 1) { warning('\nFile empty, possibly corrupt.\n') - P = c() - isLastBlock = TRUE filequality$filetooshort = TRUE filequality$filecorrupt = TRUE - } else if (nrow(P$data) < (sf * ws * 2 + 1)) { + } + } else if (nrow(P$data) < (sf * ws * 2 + 1)) { + # a shorter chunk of data than expected was read + isLastBlock = TRUE + + if (blocknumber == 1) { # not enough data for analysis P = c() - isLastBlock = TRUE filequality$filetooshort = TRUE } } From 9336084fea1eed9a8c6eb788b77cee7c7525cb73 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 15 Jan 2024 09:57:27 -0500 Subject: [PATCH 068/149] don't call rm(P) twice back to back this caused "object 'P' not found" warnings. I'm assuming the first rm() wasn't yet completed by the time the 2nd exists("P") was evaluated, so rm() was indeed executed twice for the same object. --- R/g.getmeta.R | 1 - 1 file changed, 1 deletion(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index f4eb7d9a6..57e0baba9 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -303,7 +303,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), metricnames_long = c("timestamp","nonwearscore","clippingscore","EN") } rm(SWMT) - if (exists("P")) rm(P); gc() if (i != 0 && exists("P")) rm(P); gc() LD = nrow(data) if (LD < (ws*sf) && i == 1) { From 27ba0f3be1d31c7e1c5a4353f79803606d22d4f7 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 15 Jan 2024 22:12:42 -0500 Subject: [PATCH 069/149] remove unused parameter --- R/g.readaccfile.R | 1 - R/read.myacc.csv.R | 1 - man/read.myacc.csv.Rd | 4 ---- 3 files changed, 6 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index b6f333207..cde843637 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -279,7 +279,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, interpolationType = params_rawdata[["interpolationType"]], PreviousLastValue = PreviousLastValue, PreviousLastTime = PreviousLastTime, - epochsize = params_general[["windowsizes"]][1:2], desiredtz = params_general[["desiredtz"]], configtz = params_general[["configtz"]], header = header) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 87ea6caf2..a83be2400 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -22,7 +22,6 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", interpolationType = 1, PreviousLastValue = c(0, 0, 1), PreviousLastTime = NULL, - epochsize = NULL, desiredtz = NULL, configtz = NULL, header = NULL) { diff --git a/man/read.myacc.csv.Rd b/man/read.myacc.csv.Rd index b7ef9b752..75c355689 100644 --- a/man/read.myacc.csv.Rd +++ b/man/read.myacc.csv.Rd @@ -35,7 +35,6 @@ interpolationType=1, PreviousLastValue = c(0, 0, 1), PreviousLastTime = NULL, - epochsize = NULL, desiredtz = NULL, configtz = NULL, header = NULL) @@ -164,9 +163,6 @@ \item{PreviousLastTime}{ Automatically identified last timestamp in previous chunk of data read. } - \item{epochsize}{ - Numeric vector of length two, with short and long epoch sizes. Only used by GGIR internally. - } \item{desiredtz}{ Timezone in which device was worn. } From 4d9e980186052b5e66c8e41bd2a48f9f05d10ba5 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 16 Jan 2024 00:06:27 -0500 Subject: [PATCH 070/149] adjust windowsizes in a central place params_general[["windowsizes"]] were being adjusted inside g.getmeta() only, and the new values wren't available to other functions, e.g. g.calibrate(). --- R/check_params.R | 17 +++++++++++++++++ R/g.getmeta.R | 22 ++-------------------- 2 files changed, 19 insertions(+), 20 deletions(-) diff --git a/R/check_params.R b/R/check_params.R index 8a0148cad..9bf7b0e2c 100644 --- a/R/check_params.R +++ b/R/check_params.R @@ -127,6 +127,23 @@ check_params = function(params_sleep = c(), params_metrics = c(), check_class("general", params = params_general, parnames = numeric_params, parclass = "numeric") check_class("general", params = params_general, parnames = boolean_params, parclass = "boolean") check_class("general", params = params_general, parnames = character_params, parclass = "character") + + ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] + if ((ws2/60) != round(ws2/60)) { + ws2 = as.numeric(60 * ceiling(ws2/60)) + warning(paste0("The long windowsize needs to be a multitude of 1 minute periods.\n", + "Long windowsize has now been automatically adjusted to ", + ws2, " seconds in order to meet this criteria."), call. = FALSE) + } + if ((ws2/ws3) != round(ws2/ws3)) { + def = c(1,5,10,15,20,30,60) + def2 = abs(def - ws3) + ws3 = as.numeric(def[which(def2 == min(def2))]) + warning(paste0("The long windowsize needs to be a multitude of short windowsize.\n", + "The short windowsize has now been automatically adjusted to ", + ws3, " seconds in order to meet this criteria.\n"), call. = FALSE) + } + params_general[["windowsizes"]] = c(ws3,ws2,ws) } #----------------------------------------------------------------------------------- # Check value combinations and apply corrections if not logical diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 57e0baba9..a154d8c53 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -102,27 +102,9 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), if (length(nmetrics) == 0) { if (verbose == TRUE) warning("No metrics selected.", call. = FALSE) } - # parameters + ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] - if ((ws2/60) != round(ws2/60)) { - ws2 = as.numeric(60 * ceiling(ws2/60)) - if (verbose == TRUE) { - warning(paste0("The long windowsize needs to be a multitude of 1 minute periods.\n", - "Long windowsize has now been automatically adjusted to ", - ws2, " seconds in order to meet this criteria."), call. = FALSE) - } - } - if ((ws2/ws3) != round(ws2/ws3)) { - def = c(1,5,10,15,20,30,60) - def2 = abs(def - ws3) - ws3 = as.numeric(def[which(def2 == min(def2))]) - if (verbose == TRUE) { - warning(paste0("The long windowsize needs to be a multitude of short windowsize.\n", - "The short windowsize has now been automatically adjusted to ", - ws3, " seconds in order to meet this criteria.\n"), call. = FALSE) - } - } - params_general[["windowsizes"]] = c(ws3,ws2,ws) + PreviousEndPage = starttime = wday = wdayname = c() filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, From 5894e52b920339f8493e532e7b48ba1aa92a13b5 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 16 Jan 2024 00:43:07 -0500 Subject: [PATCH 071/149] nonwear windowsize needs to be a multiple of 10 otherwise g.calibrate crashes when it tries to adjust dim(Gx), dim(Gy) and dim(Gz) --- R/check_params.R | 15 ++++++++++++--- R/g.calibrate.R | 2 +- 2 files changed, 13 insertions(+), 4 deletions(-) diff --git a/R/check_params.R b/R/check_params.R index 9bf7b0e2c..062329d92 100644 --- a/R/check_params.R +++ b/R/check_params.R @@ -129,13 +129,13 @@ check_params = function(params_sleep = c(), params_metrics = c(), check_class("general", params = params_general, parnames = character_params, parclass = "character") ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] - if ((ws2/60) != round(ws2/60)) { + if (ws2/60 != round(ws2/60)) { ws2 = as.numeric(60 * ceiling(ws2/60)) warning(paste0("The long windowsize needs to be a multitude of 1 minute periods.\n", "Long windowsize has now been automatically adjusted to ", ws2, " seconds in order to meet this criteria."), call. = FALSE) } - if ((ws2/ws3) != round(ws2/ws3)) { + if (ws2/ws3 != round(ws2/ws3)) { def = c(1,5,10,15,20,30,60) def2 = abs(def - ws3) ws3 = as.numeric(def[which(def2 == min(def2))]) @@ -143,7 +143,16 @@ check_params = function(params_sleep = c(), params_metrics = c(), "The short windowsize has now been automatically adjusted to ", ws3, " seconds in order to meet this criteria.\n"), call. = FALSE) } - params_general[["windowsizes"]] = c(ws3,ws2,ws) + + ws4 = 10 #epoch for recalibration, don't change + if (ws/ws4 != round(ws/ws4)) { + ws = as.numeric(ws4 * ceiling(ws/ws4)) + warning(paste0("The windowsize for assessing non-wear needs to be a multitude of ", ws4, + "\n This windowsize has now been automatically adjusted to ", + ws, " seconds in order to meet this criteria.\n"), call. = FALSE) + } + + params_general[["windowsizes"]] = c(ws3, ws2, ws, ws4) } #----------------------------------------------------------------------------------- # Check value combinations and apply corrections if not logical diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 0f6e0779a..87aa39e44 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -29,7 +29,7 @@ g.calibrate = function(datafile, params_rawdata = c(), # set parameters filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, filedoesnotholdday = FALSE, stringsAsFactors = TRUE) - ws4 = 10 #epoch for recalibration, don't change + ws4 = params_general[["windowsizes"]][4] #epoch for recalibration ws2 = params_general[["windowsizes"]][2] #dummy variable ws = params_general[["windowsizes"]][3] # window size for assessing non-wear time (seconds) cal.error.start = cal.error.end = c() From d5bc8e23f04a4cce2c964ab7c0877782256da4be Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 17 Jan 2024 12:32:12 -0500 Subject: [PATCH 072/149] XYZ, light & temperature inputs should be numeric Also remove any input columns that we don't need/expect. --- R/detect_nonwear_clipping.R | 5 ----- R/g.calibrate.R | 15 ++++----------- R/g.getmeta.R | 8 ++++---- R/g.readaccfile.R | 11 +++++++++++ R/get_starttime_weekday_meantemp_truncdata.R | 6 +----- R/read.myacc.csv.R | 2 +- tests/testthat/test_greadaccfile.R | 2 +- 7 files changed, 22 insertions(+), 27 deletions(-) diff --git a/R/detect_nonwear_clipping.R b/R/detect_nonwear_clipping.R index 6e5db97bf..198a3355e 100644 --- a/R/detect_nonwear_clipping.R +++ b/R/detect_nonwear_clipping.R @@ -11,11 +11,6 @@ detect_nonwear_clipping = function(data = c(), windowsizes = c(5, 900, 3600), sf CWav = NWav = rep(0, nmin) crit = ((window/window2)/2) + 1 - if (is.numeric(data[,1]) == FALSE) { - data[,1] = as.numeric(data[,1]) - data[,2] = as.numeric(data[,2]) - data[,3] = as.numeric(data[,3]) - } if (nonwear_approach %in% c("2013", "2023")) { # define windows to check: for (h in 1:nmin) { #number of windows diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 87aa39e44..8f0dda380 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -116,7 +116,7 @@ g.calibrate = function(datafile, params_rawdata = c(), if (i == 1) { use.temp = ("temperature" %in% colnames(P$data)) if (use.temp) { - meta = matrix(99999,NR,8) #for meta data + meta = matrix(99999,NR,8) # for metadata } else { meta = matrix(99999,NR,7) } @@ -155,17 +155,10 @@ g.calibrate = function(datafile, params_rawdata = c(), Gz = data$z if(use.temp) { - temperature = as.numeric(data$temperature) - - # ignore temperature if the values are unrealisticly high or not numeric - if (is.na(mean(temperature, na.rm = TRUE))) { - # mean() returns NA_real_ if it's calculated *not* on numeric (or logical coersed to numeric) values - warning("\ntemperature ignored for auto-calibration because there are non-numeric values\n") - use.temp = FALSE - } else if (mean(temperature[1:10], na.rm = TRUE) > 120) { + if (mean(data$temperature[1:10], na.rm = TRUE) > 120) { warning("\ntemperature ignored for auto-calibration because values are too high\n") use.temp = FALSE - } else if (sd(temperature, na.rm = TRUE) < 0.01) { + } else if (sd(data$temperature, na.rm = TRUE) < 0.01) { warning("\ntemperature ignored for auto-calibration because no variance in values\n") use.temp = FALSE } @@ -181,7 +174,7 @@ g.calibrate = function(datafile, params_rawdata = c(), D1 = g.downsample(Gy,sf,ws4,ws2); GyM2 = D1$var2 D1 = g.downsample(Gz,sf,ws4,ws2); GzM2 = D1$var2 if (use.temp == TRUE) { - D1 = g.downsample(temperature,sf,ws4,ws2); + D1 = g.downsample(data$temperature,sf,ws4,ws2); TemperatureM2 = D1$var2 } #sd acceleration diff --git a/R/g.getmeta.R b/R/g.getmeta.R index a154d8c53..78523ecd8 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -222,7 +222,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), NFilePagesSkipped = filequality$NFilePagesSkipped isLastBlock = accread$isLastBlock PreviousEndPage = accread$endpage - options(warn = -1) # to ignore warnings relating to failed mmap.load attempt + rm(accread); gc() options(warn = 0) #turn on warnings #============ @@ -237,7 +237,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), PreviousLastTime = PreviousLastTime, epochsize = c(ws3, ws2)) data = P$x - PreviousLastValue = as.numeric(data[nrow(data), c("x", "y", "z")]) + PreviousLastValue = data[nrow(data), c("x", "y", "z")] if ("time" %in% colnames(data)) { PreviousLastTime = as.POSIXct(data$time[nrow(data)]) } else { @@ -325,10 +325,10 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), #-------------------------------------------- temperature = light = c() if (light.available) { - light = as.numeric(data$light) + light = data[, "light"] } if (use.temp) { - temperature = as.numeric(data$temperature) + temperature = data[, "temperature"] } # rescale data diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index cde843637..1d44c5982 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -306,6 +306,17 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } + # remove any columns we don't need/expect + P$data = P$data[,which(colnames(P$data) %in% c("x", "y", "z", "time", "light", "temperature", "wear"))] + + # every column except for time and wear should be numeric. + # If it isn't, some non-numeric input was present, and we don't know how to deal with it. + for (col in c("x", "y", "z", "light", "temperature")) { + if ((col %in% colnames(P$data)) && !is.numeric(P$data[, col])) { + stop(paste0("Corrupt file. ", col, " column contains non-numeric data.")) + } + } + invisible(list(P = P, filequality = filequality, isLastBlock = isLastBlock, diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index 9675cf991..2f1d65a27 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -7,11 +7,7 @@ get_starttime_weekday_meantemp_truncdata = function(use.temp, monc, dformat, dat meantemp = c() if (use.temp) { meantemp = mean(as.numeric(data$temperature, na.rm = TRUE)) - if (is.na(meantemp) == T) { - warning("temperature is NA", call. = FALSE) - meantemp = 0 - use.temp = FALSE - } else if (mean(as.numeric(data$temperature[1:10])) > 50) { + if (mean(data$temperature[1:10]) > 50) { warning("temperature value is unreaslistically high (> 50 Celcius)", call. = FALSE) meantemp = 0 use.temp = FALSE diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index a83be2400..7b66bcfbb 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -312,7 +312,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", PreviousLastValue = PreviousLastValue, PreviousLastTime = PreviousLastTime, epochsize = NULL) P = P$x - PreviousLastValue = as.numeric(P[nrow(P), c("x", "y", "z")]) + PreviousLastValue = P[nrow(P), c("x", "y", "z")] PreviousLastTime = as.POSIXct(P[nrow(P), "time"]) } if (rmc.doresample == TRUE) { #resample diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 9e7996b5b..8db6ddaf3 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -72,7 +72,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity PreviousEndPage = 1, inspectfileobject = Icwa, params_rawdata = params_rawdata) expect_equal(cwa_read$P$header$blocks, 145) - expect_equal(round(cwa_read$P$data[200, 6], digits = 4), 0) + expect_equal(sum(cwa_read$P$data[c("x","y","z")]), 280.53, tolerance = .01, scale = 1) Mcwa = g.getmeta(cwafile, desiredtz = desiredtz, windowsize = c(1,300,300), inspectfileobject = Icwa) From 346f277c2a329cbb82bf097324f110835b3c0271 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 17 Jan 2024 14:21:41 -0500 Subject: [PATCH 073/149] Movisens data is read including endpage --- R/g.readaccfile.R | 5 +++-- tests/testthat/test_greadaccfile.R | 19 +++++++++++++++++-- 2 files changed, 20 insertions(+), 4 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 1d44c5982..8594532d7 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -41,8 +41,9 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # The next time (blocknumber > 1) the startpage will be derived from the previous # endpage and the blocksize. if (blocknumber > 1 && length(PreviousEndPage) != 0) { - if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$GT3X) { - # only in GENEActiv binary data and for gt3x format data + if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$GT3X || + (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN)) { + # for GENEActiv binary data, gt3x format data, and Movisens data, # page selection is defined from start to end (including end) startpage = PreviousEndPage + 1 } else { diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 8db6ddaf3..858a2db43 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -157,14 +157,29 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(Mcsv$dformc, FORMAT$BIN) expect_equal(Mcsv$sf, 64) - movisens_read = g.readaccfile(movisensFile, blocksize = 3000, blocknumber = 1, filequality = filequality, + movisens_blocksize = 3000 + movisens_read = g.readaccfile(movisensFile, blocksize = movisens_blocksize, blocknumber = 1, filequality = filequality, dayborder = dayborder, ws = 3, desiredtz = desiredtz, PreviousEndPage = 1, inspectfileobject = Mcsv, params_rawdata = params_rawdata) - expect_equal(nrow(movisens_read$P$data), 3001) + # for Movisens files, we'll read from startpage to endpage inclusive, so there will be blocksize+1 samples returned + expect_equal(nrow(movisens_read$P$data), movisens_blocksize+1) expect_false(movisens_read$filequality$filecorrupt) expect_false(movisens_read$filequality$filetooshort) expect_equal(sum(movisens_read$P$data[c("x","y","z")]), 4385.29, tolerance = .01, scale = 1) + expect_equal(movisens_read$endpage, movisens_blocksize + 1) + + # read the next block (set PreviousEndPage to movisens_read$endpage) + movisens_read2 = g.readaccfile(movisensFile, blocksize = movisens_blocksize, blocknumber = 2, filequality = filequality, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, + PreviousEndPage = movisens_read$endpage, inspectfileobject = Mcsv, + params_rawdata = params_rawdata) + expect_equal(nrow(movisens_read2$P$data), movisens_blocksize+1) + expect_equal(movisens_read2$endpage, movisens_blocksize * 2 + 2) + + # if the 1st sample of 2nd block is identical to the last sample of the 1st block, + # this means that we calculated the startpage of the 2nd block incorrectly. + expect_false(any(movisens_read2$P$data[1,] == movisens_read$P$data[nrow(movisens_read$P$data),])) # ad-hoc csv file From c897b2ddfd1b76599618e00ba01b3d5b73d479ad Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 17 Jan 2024 15:11:26 -0500 Subject: [PATCH 074/149] handle GENEActiv csv deprecation message in central location --- R/g.calibrate.R | 6 ------ R/g.getmeta.R | 5 ----- R/g.inspectfile.R | 13 +++++++++---- 3 files changed, 9 insertions(+), 15 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 8f0dda380..518b6c3ec 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -60,12 +60,6 @@ g.calibrate = function(datafile, params_rawdata = c(), return() } - if (mon == MONITOR$GENEACTIV && dformat == FORMAT$CSV && length(params_rawdata[["rmc.firstrow.acc"]]) == 0) { - stop(paste0("The GENEActiv csv reading functionality is deprecated in", - " GGIR from the version 2.6-4 onwards. Please, use either", - " the GENEActiv bin files or try to read the csv files with", - " GGIR::read.myacc.csv"), call. = FALSE) - } if (sf == 0) { stop(paste0("\nSample frequency not recognised in ", datafile, " calibration procedure stopped."), call. = FALSE) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 78523ecd8..d3eab46a1 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -141,11 +141,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), hvars = g.extractheadervars(INFI) deviceSerialNumber = hvars$deviceSerialNumber - # if GENEActiv csv, deprecated function - if (mon == MONITOR$GENEACTIV && dformat == FORMAT$CSV && length(params_rawdata[["rmc.firstrow.acc"]]) == 0) { - stop("The GENEActiv csv reading functionality is deprecated in GGIR from the version 2.6-4 onwards. Please, use either the GENEActiv bin files or try to read the csv files with GGIR::read.myacc.csv") - } - # get now-wear, clip, and blocksize parameters (thresholds) ncb_params = get_nw_clip_block_params(chunksize = params_rawdata[["chunksize"]], dynrange = params_rawdata[["dynrange"]], diff --git a/R/g.inspectfile.R b/R/g.inspectfile.R index aa281ee13..313c04e48 100644 --- a/R/g.inspectfile.R +++ b/R/g.inspectfile.R @@ -218,6 +218,14 @@ g.inspectfile = function(datafile, desiredtz = "", params_rawdata = c(), sf = Pusercsvformat$header$sample_rate } } + + if (mon == MONITOR$GENEACTIV && dformat == FORMAT$CSV) { + stop(paste0("The GENEActiv csv reading functionality is deprecated in", + " GGIR from version 2.6-4 onwards. Please, use either", + " the GENEActiv bin files or try to read the csv files with", + " GGIR::read.myacc.csv"), call. = FALSE) + } + if (dformat == FORMAT$BIN) { if (mon == MONITOR$GENEACTIV) { H = GGIRread::readGENEActiv(filename = datafile, start = 0, end = 1)$header @@ -244,10 +252,7 @@ g.inspectfile = function(datafile, desiredtz = "", params_rawdata = c(), } } } else if (dformat == FORMAT$CSV) { - if (mon == MONITOR$GENEACTIV) { - H = read.csv(datafile,nrow = 20, skip = 0) #note that not the entire header is copied - # cat("\nGENEACTIV csv files support is deprecated in GGIR v2.6-2 onwards. Please, either use the GENEACTIV bin files or the read.myacc.csv function on the csv files") - } else if (mon == MONITOR$ACTIGRAPH) { + if (mon == MONITOR$ACTIGRAPH) { H = read.csv(datafile, nrow = 9, skip = 0) } else if (mon == MONITOR$AXIVITY) { H = "file does not have header" # these files have no header From 696c54ceea78db270ae3455074be2848e03f68bd Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 17 Jan 2024 15:59:08 -0500 Subject: [PATCH 075/149] test that Axivity csv can have unix and formatted timestamps --- ...e.csv => ax3_testfile_unix_timestamps.csv} | 0 inst/testfiles/ax6_testfile.csv | 11320 ---------------- .../ax6_testfile_formatted_timestamps.csv | 11320 ++++++++++++++++ tests/testthat/test_greadaccfile.R | 8 +- 4 files changed, 11325 insertions(+), 11323 deletions(-) rename inst/testfiles/{ax3_testfile.csv => ax3_testfile_unix_timestamps.csv} (100%) delete mode 100755 inst/testfiles/ax6_testfile.csv create mode 100755 inst/testfiles/ax6_testfile_formatted_timestamps.csv diff --git a/inst/testfiles/ax3_testfile.csv b/inst/testfiles/ax3_testfile_unix_timestamps.csv similarity index 100% rename from inst/testfiles/ax3_testfile.csv rename to inst/testfiles/ax3_testfile_unix_timestamps.csv diff --git a/inst/testfiles/ax6_testfile.csv b/inst/testfiles/ax6_testfile.csv deleted file mode 100755 index fac065be9..000000000 --- a/inst/testfiles/ax6_testfile.csv +++ /dev/null @@ -1,11320 +0,0 @@ -1577135046.6900,0.007324,0.071289,0.008789,0.274658,-0.503540,15.769958 -1577135046.7000,0.001953,0.066406,0.007813,0.282288,-0.480652,15.792846 -1577135046.7100,0.007813,0.068359,0.001953,0.274658,-0.503540,15.769958 -1577135046.7200,0.007813,0.078125,0.005859,0.305176,-0.488281,15.754699 -1577135046.7300,0.004883,0.073242,0.009766,0.282288,-0.511169,15.762328 -1577135046.7400,0.000977,0.068848,0.008301,0.274658,-0.549316,15.762328 -1577135046.7500,0.001953,0.069336,0.003418,0.312805,-0.495911,15.769958 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21:06:00.940,0.049805,0.982910,0.013672,0.312805,1.098633,0.198364 +2019-12-23 21:06:00.950,0.049805,0.983887,0.012695,0.335693,1.174927,0.305176 +2019-12-23 21:06:00.960,0.048828,0.980957,0.010742,0.366211,1.129150,0.282288 +2019-12-23 21:06:00.970,0.050781,0.978516,0.011230,0.251770,1.083374,0.106812 +2019-12-23 21:06:00.980,0.047852,0.981445,0.011230,-0.137329,1.106262,0.000000 diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 858a2db43..a66532418 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -10,8 +10,10 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity filequality = list(filecorrupt = FALSE, filetooshort = FALSE) dayborder = 0 - Ax3CsvFile = system.file("testfiles/ax3_testfile.csv", package = "GGIR")[1] - Ax6CsvFile = system.file("testfiles/ax6_testfile.csv", package = "GGIR")[1] + # For Axivity csv files, we'll be able to read files with both unix and formatted (Y-M-D h:m:s) timestamps + Ax3CsvFile = system.file("testfiles/ax3_testfile_unix_timestamps.csv", package = "GGIR")[1] + Ax6CsvFile = system.file("testfiles/ax6_testfile_formatted_timestamps.csv", package = "GGIR")[1] + cwafile = system.file("testfiles/ax3_testfile.cwa", package = "GGIRread")[1] GAfile = system.file("testfiles/GENEActiv_testfile.bin", package = "GGIRread")[1] gt3xfile = system.file("testfiles/actigraph_testfile.gt3x", package = "GGIR")[1] @@ -81,7 +83,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity cat("\nAxivity .csv") - for (csvData in list(list(Ax3CsvFile, 2881, 2370.08), list(Ax6CsvFile, 2875, 1063.66))) { + for (csvData in list(list(Ax3CsvFile, 2881, 2370.08), list(Ax6CsvFile, 2875, 1064.66))) { IAxivityCsv = g.inspectfile(csvData[[1]], desiredtz = desiredtz, params_rawdata = params_rawdata) expect_equal(IAxivityCsv$monc, MONITOR$AXIVITY) expect_equal(IAxivityCsv$dformc, FORMAT$CSV) From 2e58e8f075b0f76d3e2d44ccbea326fbb3f5d052 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 17 Jan 2024 17:56:35 -0500 Subject: [PATCH 076/149] stop for freq==0 in centralized location --- R/g.calibrate.R | 4 ---- R/g.getmeta.R | 2 -- R/g.inspectfile.R | 10 ++++++++++ 3 files changed, 10 insertions(+), 6 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 518b6c3ec..8f4ebeef7 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -60,10 +60,6 @@ g.calibrate = function(datafile, params_rawdata = c(), return() } - if (sf == 0) { - stop(paste0("\nSample frequency not recognised in ", datafile, - " calibration procedure stopped."), call. = FALSE) - } #creating matrices for storing output S = matrix(0,0,4) #dummy variable needed to cope with head-tailing succeeding blocks of data NR = ceiling((90*10^6) / (sf*ws4)) + 1000 #NR = number of 'ws4' second rows (this is for 10 days at 80 Hz) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index d3eab46a1..d154b6f83 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -136,8 +136,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), windowsizes = c(), bsc_qc = bsc_qc, QClog = NULL))) } - if (sf == 0) stop("Sample frequency not recognised") - hvars = g.extractheadervars(INFI) deviceSerialNumber = hvars$deviceSerialNumber diff --git a/R/g.inspectfile.R b/R/g.inspectfile.R index 313c04e48..27775f1a6 100644 --- a/R/g.inspectfile.R +++ b/R/g.inspectfile.R @@ -213,6 +213,8 @@ g.inspectfile = function(datafile, desiredtz = "", params_rawdata = c(), sf = params_rawdata[["rmc.sf"]] if (is.null(sf)) { stop("\nFile header doesn't specify sample rate. Please provide rmc.sf value to process ", datafile) + } else if (sf == 0) { + stop("\nFile header doesn't specify sample rate. Please provide a non-zero rmc.sf value to process ", datafile) } } else { sf = Pusercsvformat$header$sample_rate @@ -268,6 +270,9 @@ g.inspectfile = function(datafile, desiredtz = "", params_rawdata = c(), H = data.frame(name = row.names(header), value = header, stringsAsFactors = TRUE) } sf = params_rawdata[["rmc.sf"]] + if (sf == 0) { + stop("\nPlease provide a non-zero rmc.sf value to process ", datafile) + } } else if (dformat == FORMAT$GT3X) { # gt3x info = try(expr = {read.gt3x::parse_gt3x_info(datafile, tz = desiredtz)},silent = TRUE) if (inherits(info, "try-error") == TRUE || is.null(info)) { @@ -290,6 +295,11 @@ g.inspectfile = function(datafile, desiredtz = "", params_rawdata = c(), sf = as.numeric(H[which(H[,1] == "Sample Rate"), 2]) } } + + if (sf == 0) { + stop(paste0("\nSample frequency not recognised in ", datafile), call. = FALSE) + } + if (is.null(sf) == FALSE) { H = as.matrix(H) if (ncol(H) == 3 && dformat == FORMAT$CSV && mon == MONITOR$ACTIGRAPH) { From 91ed457cbc12caf94f58489519486e72bcaad073 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 18 Jan 2024 15:22:16 -0500 Subject: [PATCH 077/149] correct timezones of gt3x timestamps Note that simply changing the timestamp of a POSIXct object actually changes the timezone and the hh:mm:ss representation, while keeping the same underlying unix timestamp. That's not what we want. We want to change the unix timestamp in such a way that when printed with the configtz timestamp, the time comes out as the same hh:mm:ss value as before. For instance, we want "2020-08-26 10:09:00 GMT" to become "2020-08-26 10:09:00 EST", not "2020-08-26 06:09:00 EDT", which is what we'd get with as.POSIXct(..., tz=configtz) An alternative solution would have been to use lubridate::force_tz(), but I wanted to avoid pulling in lubridate. Note that another solution, suggested here: https://stackoverflow.com/questions/15575713/modifying-timezone-of-a-posixct-object-without-changing-the-display as.numeric(as.POSIXct(as.numeric(timestamp), origin = as.POSIXct("1970-01-01", tz=configtz), tz=configtz)) actually doesn't work with daytime savings zones. Since "1970-01-01" is in the winter timezone, any timestamp that is in the summer timezone will end up 1 hour off (but winter timestamps will be fine). --- R/g.readaccfile.R | 35 ++++++++++++++++++++++++----------- 1 file changed, 24 insertions(+), 11 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 8594532d7..364e0685b 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -17,6 +17,10 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, params_general = params$params_general } + desiredtz = params_general[["desiredtz"]] + configtz = params_general[["configtz"]] + if (length(configtz) == 0) configtz = desiredtz + I = inspectfileobject mon = I$monc if (mon == MONITOR$VERISENSE) mon = MONITOR$ACTIGRAPH @@ -71,8 +75,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { try(expr = {P = GGIRread::readGENEActiv(filename = filename, start = startpage, - end = endpage, desiredtz = params_general[["desiredtz"]], - configtz = params_general[["configtz"]])}, silent = TRUE) + end = endpage, desiredtz = desiredtz, + configtz = configtz)}, silent = TRUE) if (length(P) > 0 && ("data.out" %in% names(P))) { names(P)[names(P) == "data.out"] = "data" @@ -123,8 +127,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, apply_readAxivity = function(bstart, bend) { try(expr = {P = GGIRread::readAxivity(filename = filename, start = bstart, end = bend, progressBar = FALSE, - desiredtz = params_general[["desiredtz"]], - configtz = params_general[["configtz"]], + desiredtz = desiredtz, + configtz = configtz, interpolationType = params_rawdata[["interpolationType"]], header = header) }, silent = TRUE) @@ -135,8 +139,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, apply_readAxivity = function(bstart, bend) { try(expr = {P = GGIRread::readAxivity(filename = filename, start = bstart, end = bend, progressBar = FALSE, - desiredtz = params_general[["desiredtz"]], - configtz = params_general[["configtz"]], + desiredtz = desiredtz, + configtz = configtz, interpolationType = params_rawdata[["interpolationType"]], frequency_tol = params_rawdata[["frequency_tol"]], header = header) @@ -218,7 +222,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, endIndex = endpage) colnames(P$data) = c("x", "y", "z") # there may or may not be a temp.bin file containing temperature - try(expr = {P$data$temperature = g.readtemp_movisens(filename, desiredtz = params_general[["desiredtz"]], + try(expr = {P$data$temperature = g.readtemp_movisens(filename, desiredtz = desiredtz, from = startpage, to = endpage, interpolationType = params_rawdata[["interpolationType"]]) }, silent = TRUE) @@ -233,8 +237,17 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, colnames(P$data)[colnames(P$data) == "Z"] = "z" # read.gt3x::read.gt3x returns timestamps as POSIXct with GMT timezone, but they are actally in local time of the device. - # Convert them to numeric unix timestamps. - P$data$time = as.numeric(P$data$time) + # Don't just convert timezones, instead force the correct local timezone of the device (configtz) + # while keeping the same hh:mm:ss time. + # (Converting to POSIXlt then back to POSIXct with the correct timezone + # seems to work fine as an equivalent of lubridate::force_tz(). + # as.POSIXlt() used to be slow but seems reasonably fast these days). + P$data$time = as.POSIXlt(P$data$time) + P$data$time = as.POSIXct(P$data$time, tz=configtz) + + if (configtz != desiredtz) { + P$data$time = as.POSIXct(P$data$time, tz=desiredtz) + } } } else if (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV) { # user-specified csv format # skip 1 more row only if rmc.firstrow.acc points at a row containing column names. @@ -280,8 +293,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, interpolationType = params_rawdata[["interpolationType"]], PreviousLastValue = PreviousLastValue, PreviousLastTime = PreviousLastTime, - desiredtz = params_general[["desiredtz"]], - configtz = params_general[["configtz"]], + desiredtz = desiredtz, + configtz = configtz, header = header) }, silent = TRUE) if (length(sf) == 0) sf = params_rawdata[["rmc.sf"]] From 839fa39c3ebe81908505eae6488bc00f9fa297bf Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 18 Jan 2024 16:30:29 -0500 Subject: [PATCH 078/149] params_general[["desiredtz"]] default set elsewhere load_params() takes care of the params_general[["desiredtz"]] = "" default --- R/g.getmeta.R | 4 ---- 1 file changed, 4 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index d154b6f83..85a83f299 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -563,10 +563,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), if (nrow(metashort) > 1) { starttime3 = round(as.numeric(starttime)) #numeric time but relative to the desiredtz time5 = seq(starttime3, (starttime3 + ((nrow(metashort) - 1) * ws3)), by = ws3) - if (length(params_general[["desiredtz"]]) == 0) { - warning("\ndesiredtz not specified, system timezone used as default") - params_general[["desiredtz"]] = "" - } time6 = as.POSIXlt(time5,origin = "1970-01-01", tz = params_general[["desiredtz"]]) time6 = strftime(time6, format = "%Y-%m-%dT%H:%M:%S%z") metashort[,1] = as.character(time6) From 596beacdff1421dae18953e4bf2f117db26bda25 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 18 Jan 2024 17:38:03 -0500 Subject: [PATCH 079/149] convert numeric timestamps directly to desiredtz Unix timestamps are always in UTC, so converting them first to configtz then to deziredtz is the same as converting them to desiredtz right away. --- R/read.myacc.csv.R | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 7b66bcfbb..8ebf4c620 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -250,7 +250,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", } else if (rmc.unit.time == "character") { P$time = as.POSIXct(P$time,format = rmc.format.time, tz = configtz) } else if (rmc.unit.time == "UNIXsec") { - P$time = as.POSIXct(P$time, origin = rmc.origin, tz = configtz) + P$time = as.POSIXct(P$time, origin = rmc.origin, tz = desiredtz) } else if (rmc.unit.time == "ActivPAL") { # origin should be specified as: "1899-12-30" rmc.origin = "1899-12-30" @@ -258,15 +258,14 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", tmp2 = P$time - round(P$time) timecode = ((tmp2 * 10^10) * 8.64) / 1000000 numerictime = datecode + timecode - P$time = as.POSIXct(numerictime, origin = rmc.origin, tz = configtz) + P$time = as.POSIXct(numerictime, origin = rmc.origin, tz = desiredtz) } if (length(which(is.na(P$time) == FALSE)) == 0) { stop("\nExtraction of timestamps unsuccesful, check timestamp format arguments") } } - if (configtz != desiredtz) { - P$time = as.POSIXct(as.numeric(P$time), - tz = desiredtz, origin = "1970-01-01") + if (!(rmc.unit.time %in% c("UNIXsec", "ActivPAL")) && (configtz != desiredtz)) { + P$time = as.POSIXct(as.numeric(P$time), tz = desiredtz, origin = "1970-01-01") } # If acceleration is stored in mg units then convert to gravitational units From 998efc85fb1d03bc46664de4c217e564b5ee3948 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 19 Jan 2024 23:58:01 -0500 Subject: [PATCH 080/149] desiredtz and configtz are in params_general, not params_rawdata Also load the default params. And use a non-GMT timezone for desiredtz. --- tests/testthat/test_greadaccfile.R | 47 ++++++++++++++++-------------- 1 file changed, 25 insertions(+), 22 deletions(-) diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index a66532418..f31992f64 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -3,9 +3,12 @@ context("g.readaccfile") test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity csv, and actigraph csv files correctly", { skip_on_cran() - desiredtz = "Europe/London" - params_rawdata = list(frequency_tol = 0.1, interpolationType = 1, - desiredtz = "Europe/London", configtz = "Europe/London") + desiredtz = "Pacific/Auckland" + configtz = "Europe/Berlin" + params = extract_params(input = list(frequency_tol = 0.1, interpolationType = 1, + desiredtz = desiredtz, configtz = configtz)) + params_rawdata = params$params_rawdata + params_general = params$params_general filequality = list(filecorrupt = FALSE, filetooshort = FALSE) dayborder = 0 @@ -29,9 +32,9 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(Icsv$dformc, FORMAT$CSV) csv_read = g.readaccfile(filename, blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, PreviousEndPage = 1, inspectfileobject = Icsv, - params_rawdata = params_rawdata) + params_rawdata = params_rawdata, params_general = params_general) expect_equal(nrow(csv_read$P$data), 3000) expect_false(csv_read$filequality$filecorrupt) expect_false(csv_read$filequality$filetooshort) @@ -47,9 +50,9 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(EHV$deviceSerialNumber, "MOS2E39180594_firmware_1.9.2") gt3x_read = g.readaccfile(gt3xfile, blocksize = 3000, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, PreviousEndPage = 1, inspectfileobject = Igt3x, - params_rawdata = params_rawdata) + params_rawdata = params_rawdata, params_general = params_general) expect_equal(nrow(gt3x_read$P$data), 17640) expect_false(gt3x_read$filequality$filecorrupt) expect_false(gt3x_read$filequality$filetooshort) @@ -62,7 +65,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity cat("\nAxivity .cwa") # axivity .cwa - Icwa = g.inspectfile(cwafile, desiredtz = desiredtz, params_rawdata = params_rawdata) + Icwa = g.inspectfile(cwafile, params_rawdata = params_rawdata, params_general = params_general) expect_equal(Icwa$monc, MONITOR$AXIVITY) expect_equal(Icwa$dformc, FORMAT$CWA) expect_equal(Icwa$sf, 100) @@ -70,9 +73,9 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(EHV$deviceSerialNumber,"39434") cwa_read = g.readaccfile(cwafile, blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, PreviousEndPage = 1, inspectfileobject = Icwa, - params_rawdata = params_rawdata) + params_rawdata = params_rawdata, params_general = params_general) expect_equal(cwa_read$P$header$blocks, 145) expect_equal(sum(cwa_read$P$data[c("x","y","z")]), 280.53, tolerance = .01, scale = 1) @@ -84,14 +87,14 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity cat("\nAxivity .csv") for (csvData in list(list(Ax3CsvFile, 2881, 2370.08), list(Ax6CsvFile, 2875, 1064.66))) { - IAxivityCsv = g.inspectfile(csvData[[1]], desiredtz = desiredtz, params_rawdata = params_rawdata) + IAxivityCsv = g.inspectfile(csvData[[1]], params_rawdata = params_rawdata, params_general = params_general) expect_equal(IAxivityCsv$monc, MONITOR$AXIVITY) expect_equal(IAxivityCsv$dformc, FORMAT$CSV) csv_read = g.readaccfile(csvData[[1]], blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, PreviousEndPage = 1, inspectfileobject = IAxivityCsv, - params_rawdata = params_rawdata) + params_rawdata = params_rawdata, params_general = params_general) # For both ax3 and ax6 files, we expect 4 columns: timestamp and XYZ. # All gyro data in ax6 files gets ignored. @@ -161,9 +164,9 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity movisens_blocksize = 3000 movisens_read = g.readaccfile(movisensFile, blocksize = movisens_blocksize, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, PreviousEndPage = 1, inspectfileobject = Mcsv, - params_rawdata = params_rawdata) + params_rawdata = params_rawdata, params_general = params_general) # for Movisens files, we'll read from startpage to endpage inclusive, so there will be blocksize+1 samples returned expect_equal(nrow(movisens_read$P$data), movisens_blocksize+1) expect_false(movisens_read$filequality$filecorrupt) @@ -173,9 +176,9 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity # read the next block (set PreviousEndPage to movisens_read$endpage) movisens_read2 = g.readaccfile(movisensFile, blocksize = movisens_blocksize, blocknumber = 2, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, PreviousEndPage = movisens_read$endpage, inspectfileobject = Mcsv, - params_rawdata = params_rawdata) + params_rawdata = params_rawdata, params_general = params_general) expect_equal(nrow(movisens_read2$P$data), movisens_blocksize+1) expect_equal(movisens_read2$endpage, movisens_blocksize * 2 + 2) @@ -193,7 +196,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity N = 6000 sf = 30 x = Sys.time()+((0:(N-1))/sf) - timestamps = as.POSIXlt(x, origin="1970-1-1", tz = "Europe/London") + timestamps = as.POSIXlt(x, origin="1970-1-1", tz = configtz) mydata = data.frame(Xcol = rnorm(N), timecol = timestamps, Ycol = rnorm(N), Zcol = rnorm(N), tempcol = rnorm(N) + 20) testfile = "testcsv1.csv" @@ -214,7 +217,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity # Read the file starting with row 1 (rmc.firstrow.acc = 1); this row contains column names. # Verify that full 3000 rows are still read. csv_read = g.readaccfile(testfile, blocksize = 10, blocknumber = 1, filequality = filequality, # blocksize is # of pages of 300 samples - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, configtz = configtz, PreviousEndPage = c(), inspectfileobject = AHcsv, rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", rmc.firstrow.acc = 1, rmc.firstrow.header=c(), @@ -232,7 +235,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity # since the 1st row of the file contains column names, pointing rmc.firstrow.acc 2 # should lead to the same eaxt 3000 lines being read (the lines after the column names). csv_read2 = g.readaccfile(testfile, blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, configtz = configtz, PreviousEndPage = c(), inspectfileobject = AHcsv, rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", rmc.firstrow.acc = 2, rmc.firstrow.header=c(), @@ -247,7 +250,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity # reading the next 3000 lines should also give the same result for rmc.firstrow.acc == 1 or 2. csv_read3 = g.readaccfile(testfile, blocksize = 10, blocknumber = 2, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, configtz = configtz, PreviousEndPage = csv_read$endpage, inspectfileobject = AHcsv, rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", rmc.firstrow.acc = 1, rmc.firstrow.header=c(), @@ -257,7 +260,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(nrow(csv_read3$P$data), 3000) csv_read4 = g.readaccfile(testfile, blocksize = 10, blocknumber = 2, filequality = filequality, - dayborder = dayborder, ws = 3, desiredtz = desiredtz, + dayborder = dayborder, ws = 3, desiredtz = desiredtz, configtz = configtz, PreviousEndPage = csv_read2$endpage, inspectfileobject = AHcsv, rmc.dec=".", rmc.sf=30, rmc.unit.time="POSIX", rmc.firstrow.acc = 2, rmc.firstrow.header=c(), From 854956c8b8f375f19b16a9ad348b45032faf44c0 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 20 Jan 2024 19:33:37 -0500 Subject: [PATCH 081/149] timezone conversion for Axivity csv both for the Unix timestamps and for formatted Y-M-D h:m:s.f timestamps --- R/g.readaccfile.R | 23 ++++++++++++++++++-- tests/testthat/test_greadaccfile.R | 35 ++++++++++++++++++++++-------- 2 files changed, 47 insertions(+), 11 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 364e0685b..111dba2c7 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -195,11 +195,30 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, data.table=FALSE, stringsAsFactors=FALSE) }, silent = TRUE) if (length(rawData) > 0) { - if (nrow(rawData) < blocksize) { # last block + if (nrow(rawData) < blocksize) { isLastBlock = TRUE } - # resample the acceleration data, because AX3 data is stored at irregular time points + rawTime = rawData[,1] + + # If timestamps in the csv file are formatted (Y-M-D h:m:s.f), data.table::fread assumes them to be + # in the timezone of the current device (i.e. as if configtz == ""). + # If this is not the case, we need to force the correct timezone (force, as opposed to converting to that timezone). + # Converting to POSIXlt then back to POSIXct with the correct timezone + # seems to work fine as an equivalent of lubridate::force_tz(). + # + # A similar thing needs to be done if the csv file contains Unix timestamps as well. + # OmGui converts device timestamps to Unix timestamps as if the timestamps were originally in UTC. + # So we need to convert the Unix timestamp into a hh:mm:ss format, then force that timestamp + # from UTC into configtz timzone. + if (configtz != "" || is.numeric(rawTime)) { + rawTime = as.POSIXlt(rawTime, tz="UTC") + rawTime = as.POSIXct(rawTime, tz=configtz) + } + + rawTime = as.numeric(rawTime) + + # resample the acceleration data, because AX3 data is stored at irregular time points rawAccel = as.matrix(rawData[,2:4]) step = 1/sf timeRes = seq(rawTime[1], rawTime[length(rawTime)], step) diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index f31992f64..d3e3edc8d 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -17,7 +17,9 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity Ax3CsvFile = system.file("testfiles/ax3_testfile_unix_timestamps.csv", package = "GGIR")[1] Ax6CsvFile = system.file("testfiles/ax6_testfile_formatted_timestamps.csv", package = "GGIR")[1] - cwafile = system.file("testfiles/ax3_testfile.cwa", package = "GGIRread")[1] + Ax3CwaFile = system.file("testfiles/ax3_testfile.cwa", package = "GGIRread")[1] + Ax6CwaFile = system.file("testfiles/ax6_testfile.cwa", package = "GGIRread")[1] + GAfile = system.file("testfiles/GENEActiv_testfile.bin", package = "GGIRread")[1] gt3xfile = system.file("testfiles/actigraph_testfile.gt3x", package = "GGIR")[1] @@ -64,35 +66,45 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_false(Mgt3x$filecorrupt) cat("\nAxivity .cwa") - # axivity .cwa - Icwa = g.inspectfile(cwafile, params_rawdata = params_rawdata, params_general = params_general) + + Icwa = g.inspectfile(Ax3CwaFile, params_rawdata = params_rawdata, params_general = params_general) expect_equal(Icwa$monc, MONITOR$AXIVITY) expect_equal(Icwa$dformc, FORMAT$CWA) expect_equal(Icwa$sf, 100) EHV = g.extractheadervars(Icwa) expect_equal(EHV$deviceSerialNumber,"39434") - cwa_read = g.readaccfile(cwafile, blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, + cwa_read = g.readaccfile(Ax3CwaFile, blocksize = 10, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 2, PreviousEndPage = 1, inspectfileobject = Icwa, params_rawdata = params_rawdata, params_general = params_general) expect_equal(cwa_read$P$header$blocks, 145) expect_equal(sum(cwa_read$P$data[c("x","y","z")]), 280.53, tolerance = .01, scale = 1) - Mcwa = g.getmeta(cwafile, desiredtz = desiredtz, windowsize = c(1,300,300), + Mcwa = g.getmeta(Ax3CwaFile, desiredtz = desiredtz, windowsize = c(1,300,300), inspectfileobject = Icwa) expect_true(Mcwa$filetooshort) expect_false(Mcwa$filecorrupt) + ax3_start_timestamp = cwa_read$P$data$time[1] + + Icwa = g.inspectfile(Ax6CwaFile, params_rawdata = params_rawdata, params_general = params_general) + cwa_read = g.readaccfile(Ax6CwaFile, blocksize = 10, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 2, + PreviousEndPage = 1, inspectfileobject = Icwa, + params_rawdata = params_rawdata, params_general = params_general) + ax6_start_timestamp = cwa_read$P$data$time[1] + cat("\nAxivity .csv") - for (csvData in list(list(Ax3CsvFile, 2881, 2370.08), list(Ax6CsvFile, 2875, 1064.66))) { + for (csvData in list(list(Ax3CsvFile, 2881, 2370.08, ax3_start_timestamp), + list(Ax6CsvFile, 2875, 1064.66, ax6_start_timestamp))) { IAxivityCsv = g.inspectfile(csvData[[1]], params_rawdata = params_rawdata, params_general = params_general) expect_equal(IAxivityCsv$monc, MONITOR$AXIVITY) expect_equal(IAxivityCsv$dformc, FORMAT$CSV) csv_read = g.readaccfile(csvData[[1]], blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 3, + dayborder = dayborder, ws = 2, PreviousEndPage = 1, inspectfileobject = IAxivityCsv, params_rawdata = params_rawdata, params_general = params_general) @@ -105,6 +117,11 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_false(csv_read$filequality$filetooshort) expect_equal(sum(csv_read$P$data[c("x","y","z")]), csvData[[3]], tolerance = .01, scale = 1) + # check that the timestamps for the Axivity csv look the same as they did for + # the original cwa version of the same file (this verifies that timestamp conversion + # worked the same for both formats) + expect_equal(csv_read$P$data$time[1], csvData[[4]], tolerance = .01, scale = 1) + MAxCsv = g.getmeta(datafile = Ax3CsvFile, desiredtz = desiredtz, windowsize = c(1,300,300), inspectfileobject = IAxivityCsv) expect_true(MAxCsv$filetooshort) @@ -271,7 +288,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity expect_equal(sum(csv_read3$P$data[c("x","y","z")]), sum(csv_read4$P$data[c("x","y","z")]), tolerance = .01, scale = 1) # test decimal separator recognition extraction - decn = g.dotorcomma(cwafile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) + decn = g.dotorcomma(Ax3CwaFile,dformat = FORMAT$CWA, mon = MONITOR$AXIVITY, desiredtz = desiredtz) expect_equal(decn,".") decn = g.dotorcomma(GAfile, dformat = FORMAT$BIN, mon = MONITOR$GENEACTIV, desiredtz = desiredtz) expect_equal(decn,".") From 9042b2621676c55160d6ed5e38bc8fc2f28fdb7d Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 21 Jan 2024 21:52:12 -0500 Subject: [PATCH 082/149] use standard column locations --- R/g.calibrate.R | 2 +- R/g.getmeta.R | 2 +- R/g.imputeTimegaps.R | 15 +++++++------- R/read.myacc.csv.R | 2 +- man/g.imputeTimegaps.Rd | 8 +------- tests/testthat/test_imputeTimegaps.R | 29 ++++++++++++++-------------- 6 files changed, 26 insertions(+), 32 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 8f4ebeef7..0888ea59f 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -126,7 +126,7 @@ g.calibrate = function(datafile, params_rawdata = c(), # current ActiGraph csv's are not with zeros but with last observation carried forward zeros = which(data[,1] == 0 & data[,2] == 0 & data[,3] == 0) if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || length(zeros) > 0) { - data = g.imputeTimegaps(x = data, xyzCol = 1:3, timeCol = c(), sf = sf, impute = FALSE) + data = g.imputeTimegaps(x = data, sf = sf, impute = FALSE) data = data$x } LD = nrow(data) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 85a83f299..5fa786f18 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -225,7 +225,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), QClog = rbind(QClog, P$QClog) if (params_rawdata[["imputeTimegaps"]] && (dformat == FORMAT$CSV || dformat == FORMAT$GT3X)) { - P = g.imputeTimegaps(data, xyzCol = c("x", "y", "z"), timeCol = "time", sf = sf, k = 0.25, + P = g.imputeTimegaps(data, sf = sf, k = 0.25, PreviousLastValue = PreviousLastValue, PreviousLastTime = PreviousLastTime, epochsize = c(ws3, ws2)) diff --git a/R/g.imputeTimegaps.R b/R/g.imputeTimegaps.R index 2efebfdb4..94ac14d90 100644 --- a/R/g.imputeTimegaps.R +++ b/R/g.imputeTimegaps.R @@ -1,4 +1,4 @@ -g.imputeTimegaps = function(x, xyzCol, timeCol = c(), sf, k=0.25, impute = TRUE, +g.imputeTimegaps = function(x, sf, k=0.25, impute = TRUE, PreviousLastValue = c(0, 0, 1), PreviousLastTime = NULL, epochsize = NULL) { if (!is.null(epochsize)) { @@ -11,12 +11,13 @@ g.imputeTimegaps = function(x, xyzCol, timeCol = c(), sf, k=0.25, impute = TRUE, NumberOfGaps = GapsLength = 0 # add temporary timecolumn to enable timegap imputation where there are zeros - if (length(timeCol) == 0 || !(timeCol %in% colnames(x))) { + if (!("time" %in% colnames(x))) { x$time = seq(from = Sys.time(), by = 1/sf, length.out = nrow(x)) - timeCol = "time" remove_time_at_end = TRUE } + xyzCol = which(colnames(x) %in% c("x", "y", "z")) + # define function for imputation at raw level imputeRaw = function(x, sf) { # impute raw timestamps because timestamps still need to be meaningful when @@ -46,7 +47,7 @@ g.imputeTimegaps = function(x, xyzCol, timeCol = c(), sf, k=0.25, impute = TRUE, } # find zeros and remove them from dataset - zeros = which(x[,xyzCol[1]] == 0 & x[,xyzCol[2]] == 0 & x[,xyzCol[3]] == 0) + zeros = which(x$x == 0 & x$y == 0 & x$z == 0) if (length(zeros) > 0) { # if first value is a zero, remember value from previous chunk to replicate # if chunk = 1, then it will use c(0, 0, 1) @@ -71,21 +72,21 @@ g.imputeTimegaps = function(x, xyzCol, timeCol = c(), sf, k=0.25, impute = TRUE, if (k < 2/sf) { # prevent trying to impute timegaps shorter than 2 samples k = 2/sf } - deltatime = diff(x[, timeCol]) + deltatime = diff(x$time) if (!is.numeric(deltatime)) { # in csv axivity, the time is directly read as numeric (seconds) units(deltatime) = "secs" deltatime = as.numeric(deltatime) } # refill if first value is not consecutive from last value in previous chunk if (!is.null(PreviousLastTime)) { - first_deltatime = diff(c(PreviousLastTime, x[1, timeCol])) + first_deltatime = diff(c(PreviousLastTime, x$time[1])) if (!is.numeric(first_deltatime)) { # in csv axivity, the time is directly read as numeric (seconds) units(first_deltatime) = "secs" first_deltatime = as.numeric(first_deltatime) } if (first_deltatime >= k) { # don't impute a timegap shorter than the minimum requested x = rbind(x[1,], x) - x[1, timeCol] = PreviousLastTime + x$time[1] = PreviousLastTime x[1, xyzCol] = PreviousLastValue deltatime = c(first_deltatime, deltatime) } diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 8ebf4c620..68409852b 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -307,7 +307,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", gapsi = which(deltatime > 0.25) sf = (P$time[gapsi[1]] - P$time[1]) / (gapsi[1] - 1) } - P = g.imputeTimegaps(P, xyzCol = c("x", "y", "z"), timeCol = "time", sf = sf, k = 0.25, + P = g.imputeTimegaps(P, sf = sf, k = 0.25, PreviousLastValue = PreviousLastValue, PreviousLastTime = PreviousLastTime, epochsize = NULL) P = P$x diff --git a/man/g.imputeTimegaps.Rd b/man/g.imputeTimegaps.Rd index 2f42c4b6c..742b2e7ac 100644 --- a/man/g.imputeTimegaps.Rd +++ b/man/g.imputeTimegaps.Rd @@ -8,7 +8,7 @@ imputes time gaps by the last recorded value per axis normalised to 1 _g_ } \usage{ - g.imputeTimegaps(x, xyzCol, timeCol = c(), sf, k = 0.25, impute = TRUE, + g.imputeTimegaps(x, sf, k = 0.25, impute = TRUE, PreviousLastValue = c(0,0,1), PreviousLastTime = NULL, epochsize = NULL) } @@ -17,12 +17,6 @@ Data.frame with raw accelerometer data, and a timestamp column with millisecond resolution. } - \item{xyzCol}{ - Columnnames or numbers for the x, y and z column - } - \item{timeCol}{ - Column name or number for the timestamp column - } \item{sf}{ Sample frequency in Hertz } diff --git a/tests/testthat/test_imputeTimegaps.R b/tests/testthat/test_imputeTimegaps.R index b6cdd0fb3..9929b57cd 100644 --- a/tests/testthat/test_imputeTimegaps.R +++ b/tests/testthat/test_imputeTimegaps.R @@ -4,12 +4,11 @@ test_that("timegaps are correctly imputed", { N = 10000 sf = 20 x = data.frame(time = as.POSIXct(x = (1:N)/sf, tz = "", origin = "1970/1/1"), - X = 1:N, Y = 1:N, Z = 1:N) - xyzCol = c("X", "Y", "Z") + x = 1:N, y = 1:N, z = 1:N) + xyzCol = c("x", "y", "z") - - x_without_time = data.frame(X = 1:N, Y = 1:N, Z = 1:N) - xyzCol = c("X", "Y", "Z") + x_without_time = data.frame(x = 1:N, y = 1:N, z = 1:N) + xyzCol = c("x", "y", "z") # Duration of each consecutive gap is equal to the distance netween # the sample right before and the sample right after the zeros that got removed to create this gap. @@ -22,25 +21,25 @@ test_that("timegaps are correctly imputed", { # TEST THAT SAME FILE WITH DIFFERENT FORMATS IS IMPUTED IN THE SAME WAY ---- # Format 1: with timestamp & with timegaps (no zeroes, incomplete dataset) x1 = x[-zeros,] - x1_imputed = g.imputeTimegaps(x1, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1)) + x1_imputed = g.imputeTimegaps(x1, sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1)) x1_imputed_QClog = x1_imputed$QClog; x1_imputed = x1_imputed$x - x1_removed = g.imputeTimegaps(x1, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) + x1_removed = g.imputeTimegaps(x1, sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) x1_removed_QClog = x1_removed$QClog; x1_removed = x1_removed$x # Format 2: with timestamp & with zeros (complete dataset) x2 = x x2[zeros, xyzCol] = 0 - x2_imputed = g.imputeTimegaps(x2, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1)) + x2_imputed = g.imputeTimegaps(x2, sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1)) x2_imputed_QClog = x2_imputed$QClog; x2_imputed = x2_imputed$x - x2_removed = g.imputeTimegaps(x2, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) + x2_removed = g.imputeTimegaps(x2, sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) x2_removed_QClog = x2_removed$QClog; x2_removed = x2_removed$x # Format 3: without timestamp & with zeros (complete dataset) x3 = x_without_time x3[zeros, xyzCol] = 0 - x3_imputed = g.imputeTimegaps(x3, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1)) + x3_imputed = g.imputeTimegaps(x3, sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1)) x3_imputed_QClog = x3_imputed$QClog; x3_imputed = x3_imputed$x - x3_removed = g.imputeTimegaps(x3, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) + x3_removed = g.imputeTimegaps(x3, sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) x3_removed_QClog = x3_removed$QClog; x3_removed = x3_removed$x # tests number of rows @@ -73,10 +72,10 @@ test_that("timegaps are correctly imputed", { x4 = x[-zeros,] PreviousLastTime = x[1,"time"] - 30 # dummy gap of 30 seconds between chunks suppressWarnings({ # warning arising from made up PreviousLastTime - x4_imputed = g.imputeTimegaps(x4, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = TRUE, + x4_imputed = g.imputeTimegaps(x4, sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1), PreviousLastTime = PreviousLastTime) x4_imputed_QClog = x4_imputed$QClog; x4_imputed = x4_imputed$x - x4_removed = g.imputeTimegaps(x4, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = FALSE, + x4_removed = g.imputeTimegaps(x4, sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1), PreviousLastTime = PreviousLastTime) x4_removed_QClog = x4_removed$QClog; x4_removed = x4_removed$x }) @@ -89,9 +88,9 @@ test_that("timegaps are correctly imputed", { # Format 5: with timestamp & with zeros (complete dataset) x5 = x x5[zeros, xyzCol] = 0 - x5_imputed = g.imputeTimegaps(x5, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1)) + x5_imputed = g.imputeTimegaps(x5, sf = sf, k = 2/sf, impute = TRUE, PreviousLastValue = c(0,0,1)) x5_imputed_QClog = x5_imputed$QClog; x5_imputed = x5_imputed$x - x5_removed = g.imputeTimegaps(x5, xyzCol, timeCol = "time", sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) + x5_removed = g.imputeTimegaps(x5, sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) x5_removed_QClog = x5_removed$QClog; x5_removed = x5_removed$x expect_equal(nrow(x5_imputed), N) From 800d581737ac7ad02fe735642429c88cfe6242fa Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 22 Jan 2024 22:55:59 -0500 Subject: [PATCH 083/149] fix raw timestamp imputation Raw timestamp imputation was using both x$time and x$timestamp columns (raw data used to have one or the other, depending on the monitor type), and more critically, the imputed timestamps were being saved in the x$timestamp column, which then was removed at the end of the g.imputeTimegaps() method, so all imputed timestamps were lost. This hasn't worked correctly since this commit: https://github.com/wadpac/GGIR/commit/4a834ab08ba2a03f421fd6f6299e087682fb28ed Also don't remove the x$time column till after we are completely done with it (i.e. after we use it to compute QClog$start value) --- R/g.imputeTimegaps.R | 26 ++++++++++++-------------- tests/testthat/test_imputeTimegaps.R | 6 +++++- 2 files changed, 17 insertions(+), 15 deletions(-) diff --git a/R/g.imputeTimegaps.R b/R/g.imputeTimegaps.R index 94ac14d90..11757a7aa 100644 --- a/R/g.imputeTimegaps.R +++ b/R/g.imputeTimegaps.R @@ -25,22 +25,22 @@ g.imputeTimegaps = function(x, sf, k=0.25, impute = TRUE, gapp = which(x$gap != 1) if (length(gapp) > 0) { if (gapp[1] > 1) { - newTime = x$timestamp[1:(gapp[1] - 1)] + newTime = x$time[1:(gapp[1] - 1)] } else { newTime = NULL } for (g in 1:length(gapp)) { - newTime = c(newTime, x$timestamp[gapp[g]] + seq(0, (x$gap[gapp[g]] - 1) / sf, by = 1/sf)) + newTime = c(newTime, x$time[gapp[g]] + seq(0, (x$gap[gapp[g]] - 1) / sf, by = 1/sf)) if (g < length(gapp)) { - newTime = c(newTime, x$timestamp[(gapp[g] + 1):(gapp[g + 1] - 1)]) + newTime = c(newTime, x$time[(gapp[g] + 1):(gapp[g + 1] - 1)]) } } - newTime = c(newTime, x$time[(gapp[g] + 1):length(x$timestamp)]) + newTime = c(newTime, x$time[(gapp[g] + 1):length(x$time)]) } x <- as.data.frame(lapply(x, rep, x$gap)) if (length(gapp) > 0) { - x$timestamp = newTime[1:nrow(x)] + x$time = newTime[1:nrow(x)] } x = x[, which(colnames(x) != "gap")] return(x) @@ -92,7 +92,7 @@ g.imputeTimegaps = function(x, sf, k=0.25, impute = TRUE, } } # impute time gaps - gapsi = which(deltatime >= k) # limit imputation to gaps larger than 0.25 seconds + gapsi = which(deltatime >= k) # limit imputation to gaps longer than the minimum requested NumberOfGaps = length(gapsi) if (NumberOfGaps > 0) { x$gap = 1 @@ -177,21 +177,19 @@ g.imputeTimegaps = function(x, sf, k=0.25, impute = TRUE, # impute last value? if (imputelast) x[nrow(x), xyzCol] = x[nrow(x) - 1, xyzCol] - if (remove_time_at_end == TRUE) { - x = x[, grep(pattern = "time", x = colnames(x), invert = TRUE)] - } - # keep only the time, not timestamp column - if (all(c("time", "timestamp") %in% colnames(x))) { - x = x[, grep(pattern = "timestamp", x = colnames(x), invert = TRUE)] - } # QClog - start = as.numeric(as.POSIXct(x[1,1], origin = "1970-1-1")) + start = as.numeric(as.POSIXct(x$time[1], origin = "1970-1-1")) end = start + nrow(x) imputed = NumberOfGaps > 0 QClog = data.frame(imputed = imputed, start = start, end = end, blockLengthSeconds = (end - start) / sf, timegaps_n = NumberOfGaps, timegaps_min = GapsLength/sf/60) + + if (remove_time_at_end == TRUE) { + x = x[, grep(pattern = "time", x = colnames(x), invert = TRUE)] + } + # return data and QClog return(list(x = x, QClog = QClog)) } \ No newline at end of file diff --git a/tests/testthat/test_imputeTimegaps.R b/tests/testthat/test_imputeTimegaps.R index 9929b57cd..3813b4d8a 100644 --- a/tests/testthat/test_imputeTimegaps.R +++ b/tests/testthat/test_imputeTimegaps.R @@ -25,7 +25,11 @@ test_that("timegaps are correctly imputed", { x1_imputed_QClog = x1_imputed$QClog; x1_imputed = x1_imputed$x x1_removed = g.imputeTimegaps(x1, sf = sf, k = 2/sf, impute = FALSE, PreviousLastValue = c(0,0,1)) x1_removed_QClog = x1_removed$QClog; x1_removed = x1_removed$x - + + # make sure the timestamps got imputed correctly + # (here we are checking that the last imputed timestamp is correct relative to the first timestamp after the gap) + expect_equal(as.numeric(x1_imputed$time[201] - x1_imputed$time[200]), 1/sf, tolerance = .01, scale = 1) + # Format 2: with timestamp & with zeros (complete dataset) x2 = x x2[zeros, xyzCol] = 0 From 0d9fbd2878eb7285563b1bf6133416224655ed40 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 22 Jan 2024 23:23:42 -0500 Subject: [PATCH 084/149] simplify, and ensure exact seq() length --- R/g.imputeTimegaps.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.imputeTimegaps.R b/R/g.imputeTimegaps.R index 11757a7aa..11e8d6568 100644 --- a/R/g.imputeTimegaps.R +++ b/R/g.imputeTimegaps.R @@ -30,7 +30,7 @@ g.imputeTimegaps = function(x, sf, k=0.25, impute = TRUE, newTime = NULL } for (g in 1:length(gapp)) { - newTime = c(newTime, x$time[gapp[g]] + seq(0, (x$gap[gapp[g]] - 1) / sf, by = 1/sf)) + newTime = c(newTime, x$time[gapp[g]] + seq(0, by = 1/sf, length.out = x$gap[gapp[g]])) if (g < length(gapp)) { newTime = c(newTime, x$time[(gapp[g] + 1):(gapp[g + 1] - 1)]) } From c6c59d9ad1d8c7f6d5abe43a396b94f744451d7f Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 24 Jan 2024 21:35:28 -0500 Subject: [PATCH 085/149] simplify code --- R/g.readaccfile.R | 2 +- R/g.readtemp_movisens.R | 37 +++++++++++++++++-------------------- man/g.readtemp_movisens.Rd | 8 ++------ 3 files changed, 20 insertions(+), 27 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 111dba2c7..2dd682bd8 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -241,7 +241,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, endIndex = endpage) colnames(P$data) = c("x", "y", "z") # there may or may not be a temp.bin file containing temperature - try(expr = {P$data$temperature = g.readtemp_movisens(filename, desiredtz = desiredtz, + try(expr = {P$data$temperature = g.readtemp_movisens(filename, from = startpage, to = endpage, interpolationType = params_rawdata[["interpolationType"]]) }, silent = TRUE) diff --git a/R/g.readtemp_movisens.R b/R/g.readtemp_movisens.R index 0f04d3fa9..c94108163 100644 --- a/R/g.readtemp_movisens.R +++ b/R/g.readtemp_movisens.R @@ -1,25 +1,22 @@ -g.readtemp_movisens = function(datafile, desiredtz = "", from = c(), to = c(), interpolationType=1) { +g.readtemp_movisens = function(datafile, from = c(), to = c(), interpolationType=1) { + # Acceleration data and temperature were sampled at different rates, + # so we need to resample temperature to get the same sampling rate + # as what we have for acceleration. + temperature = unisensR::readUnisensSignalEntry(dirname(datafile), "temp.bin") - temperature = as.data.frame(temperature) - origin = unisensR::readUnisensStartTime(dirname(datafile)) - temperature$timestamp = seq(origin, origin + nrow(temperature) - 1, by = 1) - rawTime = vector(mode = "numeric", nrow(temperature)) - rawTime = as.numeric(as.POSIXlt(temperature$timestamp,tz = desiredtz)) - rawTemp = as.matrix(temperature[,-c(which(colnames(temperature) == "timestamp"))]) + temperature = temperature$temp + + # we don't care about the exact timestamp values because we'll throw the timestamps away anyway. + rawTime = seq_len(length(temperature)) + acc_length = unisensR::getUnisensSignalSampleCount(dirname(datafile), "acc.bin") - step = (nrow(temperature) - 1) / acc_length #ratio of temp sf to acc sf in movisens data - start = rawTime[1] - end = rawTime[length(rawTime)] - timeRes = seq(start, end, step) - nr = length(timeRes) - 1 - timeRes = as.vector(timeRes[1:nr]) - tempRes = matrix(0,nrow = nr, ncol = ncol(rawTemp), dimnames = list(NULL,colnames(rawTemp))) - rawLast = nrow(rawTemp) - tempRes = GGIRread::resample(rawTemp, rawTime, timeRes, rawLast, type=interpolationType) # this is now the resampled temp data - if(length(from) > 0 & length(to) > 0) { - temperature = tempRes[from:to] - } else { - temperature = tempRes + timeRes = seq(from = 1, to = rawTime[length(rawTime)], length.out = acc_length) + + temperature = GGIRread::resample(as.matrix(temperature), rawTime, timeRes, length(temperature), type=interpolationType) + + if(length(from) > 0 && length(to) > 0) { + temperature = temperature[from:to] } + invisible(temperature) } diff --git a/man/g.readtemp_movisens.Rd b/man/g.readtemp_movisens.Rd index a283f985d..76b776ba3 100644 --- a/man/g.readtemp_movisens.Rd +++ b/man/g.readtemp_movisens.Rd @@ -8,8 +8,7 @@ Reads the temperature from movisens files. it to the matrix where accelerations are stored } \usage{ -g.readtemp_movisens(datafile, desiredtz = "", from = c(), to = c(), - interpolationType=1) +g.readtemp_movisens(datafile, from = c(), to = c(), interpolationType=1) } \arguments{ \item{datafile}{ @@ -17,9 +16,6 @@ g.readtemp_movisens(datafile, desiredtz = "", from = c(), to = c(), movisens store a set of bin file in one folder per recording. GGIR will read the pertinent bin file to access to the temperature data. } - \item{desiredtz}{ - See \link{g.getmeta} - } \item{from}{ Origin point to derive the temperature from movisens files (automatically calculated by GGIR) @@ -38,6 +34,6 @@ g.readtemp_movisens(datafile, desiredtz = "", from = c(), to = c(), \keyword{internal} \examples{ \dontrun{ - P = g.readtemp_movisens(datafile, desiredtz = "", from = c(), to = c()) + P = g.readtemp_movisens(datafile, from = c(), to = c()) } } From b612dfd7c8bee9cb0b3cc7e751b197317fafb1f5 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 25 Jan 2024 11:21:09 -0500 Subject: [PATCH 086/149] only match files ending in "acc.bin" don't match files like "meta_acc.bin.RData" with "acc.bin" in the middle --- R/datadir2fnames.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/datadir2fnames.R b/R/datadir2fnames.R index 27ba9d119..4a9a36ead 100644 --- a/R/datadir2fnames.R +++ b/R/datadir2fnames.R @@ -13,7 +13,7 @@ datadir2fnames = function(datadir,filelist) { } } else { if (ismovisens(datadir)) { - fnamesfull = dir(datadir, recursive = TRUE, pattern = "acc.bin", full.names = TRUE) + fnamesfull = dir(datadir, recursive = TRUE, pattern = "acc.bin$", full.names = TRUE) fnames = basename(dirname(fnamesfull)) nfolders = length(dir(datadir)) if (nfolders > length(fnamesfull)) { # meaning there are movisens data folder without acc.bin From 4cb78fc8934acbc97a02b7c1d510f9da95e88a0a Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 25 Jan 2024 13:27:54 -0500 Subject: [PATCH 087/149] replace dir() with list.dirs() to list directories Dir() lists all files and subfolders in the given directory, and list.dirs() only lists subfolders, which is what we want. with dir(), if GGIR was given a direct path to the movisens directory "/Users/user/movisens/unisensExample" containing /Users/user/movisens/unisensExample/acc.bin, we get the following unnecessary warnings about all the *files* in this directory: "The following movisens data folders do not contain the acc.bin file with the accelerometer recording, and therefore cannot be processed in GGIR: /Users/user/movisens/unisensExample/acc.bin, /Users/user/movisens/unisensExample/acc.csv, /Users/user/movisens/unisensExample/ecg.bin, /Users/user/movisens/unisensExample/qrs-trigger.csv, /Users/user/movisens/unisensExample/rr.csv, /Users/user/movisens/unisensExample/TempMean.csv, /Users/user/movisens/unisensExample/unisens.xml" --- R/datadir2fnames.R | 24 +++++++++++++++++------- 1 file changed, 17 insertions(+), 7 deletions(-) diff --git a/R/datadir2fnames.R b/R/datadir2fnames.R index 4a9a36ead..f225cfcbf 100644 --- a/R/datadir2fnames.R +++ b/R/datadir2fnames.R @@ -14,13 +14,23 @@ datadir2fnames = function(datadir,filelist) { } else { if (ismovisens(datadir)) { fnamesfull = dir(datadir, recursive = TRUE, pattern = "acc.bin$", full.names = TRUE) - fnames = basename(dirname(fnamesfull)) - nfolders = length(dir(datadir)) - if (nfolders > length(fnamesfull)) { # meaning there are movisens data folder without acc.bin - # folders without acc.bin - allfolders = dir(datadir, full.names = TRUE) - foldersWithAccBin = dirname(fnamesfull) - noAccBin = allfolders[which(!allfolders %in% foldersWithAccBin)] + foldersWithAccBin = dirname(fnamesfull) + fnames = basename(foldersWithAccBin) + + allfolders = list.dirs(datadir, recursive=FALSE, full.names = TRUE) + + # are there any folders that don't contain acc.bin (directly, or in any subfolders)? + noAccBin = c() + for (fld in allfolders) { + if (fld %in% foldersWithAccBin) next # folder contains acc.bin + + # do any subfolders contain acc.bin? + if (!any(grepl(paste(fld, '/', sep = ''), foldersWithAccBin))) { + noAccBin = c(noAccBin, fld) + } + } + + if (length(noAccBin) > 0) { warning(paste0("The following movisens data folders do not contain the ", "acc.bin file with the accelerometer recording, and ", "therefore cannot be processed in GGIR: ", From 8e111559aaa9a2d5fc831cb121b7f3f03b1a3012 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 25 Jan 2024 14:24:52 -0500 Subject: [PATCH 088/149] move params_rawdata[["chunksize"]] validation to central location so that g.getmeta and g.calibrate use the same value --- R/check_params.R | 3 +++ R/g.getmeta.R | 6 +----- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/R/check_params.R b/R/check_params.R index 062329d92..4c0d8550a 100644 --- a/R/check_params.R +++ b/R/check_params.R @@ -72,6 +72,9 @@ check_params = function(params_sleep = c(), params_metrics = c(), check_class("Raw data", params = params_rawdata, parnames = numeric_params, parclass = "numeric") check_class("Raw data", params = params_rawdata, parnames = boolean_params, parclass = "boolean") check_class("Raw data", params = params_rawdata, parnames = character_params, parclass = "character") + + if (params_rawdata[["chunksize"]] > 1.5) params_rawdata[["chunksize"]] = 1.5 + if (params_rawdata[["chunksize"]] < 0.2) params_rawdata[["chunksize"]] = 0.2 } if (length(params_247) > 0) { # iglevels and qwindow can be numeric or character, so not tested diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 5fa786f18..eb89afebb 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -69,11 +69,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), do.brondcounts = params_metrics[["do.brondcounts"]], do.neishabouricounts = params_metrics[["do.neishabouricounts"]], stringsAsFactors = FALSE) - - if (length(params_rawdata[["chunksize"]]) == 0) params_rawdata[["chunksize"]] = 1 - if (params_rawdata[["chunksize"]] > 1.5) params_rawdata[["chunksize"]] = 1.5 - if (params_rawdata[["chunksize"]] < 0.2) params_rawdata[["chunksize"]] = 0.2 - + nmetrics = sum(c(params_metrics[["do.bfen"]], params_metrics[["do.enmo"]], params_metrics[["do.lfenmo"]], params_metrics[["do.en"]], params_metrics[["do.hfen"]], params_metrics[["do.hfenplus"]], From c93d2fc5956c149938d0d2cae4fc4636dbecbc1c Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 25 Jan 2024 15:18:35 -0500 Subject: [PATCH 089/149] simplify temperature handling The if() conditions were a bit messy, with (use.temp == TRUE && use.temp == FALSE) or (use.temp == FALSE && use.temp == TRUE) in them, and this is simpler anyway. --- R/g.calibrate.R | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 0888ea59f..64bf20892 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -23,7 +23,7 @@ g.calibrate = function(datafile, params_rawdata = c(), params_general = params$params_general } - use.temp = TRUE + use.temp = temp.available = TRUE filename = unlist(strsplit(as.character(datafile),"/")) filename = filename[length(filename)] # set parameters @@ -104,7 +104,7 @@ g.calibrate = function(datafile, params_rawdata = c(), PreviousEndPage = accread$endpage if (i == 1) { - use.temp = ("temperature" %in% colnames(P$data)) + use.temp = temp.available = ("temperature" %in% colnames(P$data)) if (use.temp) { meta = matrix(99999,NR,8) # for metadata } else { @@ -343,15 +343,10 @@ g.calibrate = function(datafile, params_rawdata = c(), cal.error.end = round(mean(abs(cal.error.end - 1)), digits = 5) # assess whether calibration error has sufficiently been improved if (cal.error.end < cal.error.start & cal.error.end < 0.01 & nhoursused > params_rawdata[["minloadcrit"]]) { #do not change scaling if there is no evidence that calibration improves - if (use.temp == TRUE && (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) || - mon == MONITOR$MOVISENS || (mon == MONITOR$AD_HOC && use.temp == FALSE))) { + if (use.temp == temp.available) { QC = "recalibration done, no problems detected" - } else if (use.temp == FALSE && (mon == MONITOR$GENEACTIV || (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) || - (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) || mon == MONITOR$MOVISENS || - (mon == MONITOR$AD_HOC && use.temp == TRUE))) { + } else { QC = "recalibration done, but temperature values not used" - } else if (mon != MONITOR$GENEACTIV) { - QC = "recalibration done, no problems detected" } LD = 0 #stop loading } else { From 8993b4cf194b039ccd950da7ff439ed1154ad4bb Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 25 Jan 2024 15:29:53 -0500 Subject: [PATCH 090/149] use curly brackets for more than one operation in the if block Simply putting all the operations on the same line with if() doesn't do the trick. Only the first operation will end up in the if() block this way, and anything after that will get executed all the time. --- R/g.getmeta.R | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index eb89afebb..03dd63023 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -148,10 +148,9 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), sdcriter = ncb_params$sdcriter racriter = ncb_params$racriter n_decimal_places = 4 # number of decimal places to which features should be rounded - #creating matrixes for storing output + # creating matrices for storing output S = matrix(0,0,4) #dummy variable needed to cope with head-tailing succeeding blocks of data nev = 80*10^7 # number expected values - # NR = ceiling((90*10^6) / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) NR = ceiling(nev / (sf*ws3)) + 1000 #NR = number of 'ws3' second rows (this is for 10 days at 80 Hz) metashort = matrix(" ",NR,(1 + nmetrics)) #generating output matrix for acceleration signal QClog = NULL @@ -274,7 +273,9 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), metricnames_long = c("timestamp","nonwearscore","clippingscore","EN") } rm(SWMT) - if (i != 0 && exists("P")) rm(P); gc() + if (i != 0 && exists("P")) { + rm(P); gc() + } LD = nrow(data) if (LD < (ws*sf) && i == 1) { warning('\nWarning data too short for doing non-wear detection 3\n') From 900a707e1b6e9400653fd019d7b1e28ba5b53474 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 25 Jan 2024 16:50:48 -0500 Subject: [PATCH 091/149] move temperature out of timestamp module --- R/g.getmeta.R | 26 ++++++++++--------- R/get_starttime_weekday_meantemp_truncdata.R | 13 +--------- ...et_starttime_weekday_meantemp_truncdata.Rd | 11 +++----- 3 files changed, 19 insertions(+), 31 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 03dd63023..ee09080e3 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -191,18 +191,29 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), P = accread$P if (i == 1) { - temp.available = ("temperature" %in% colnames(P$data)) light.available = ("light" %in% colnames(P$data)) + use.temp = ("temperature" %in% colnames(P$data)) + if (use.temp) { + if (mean(P$data$temperature[1:10], na.rm = TRUE) > 50) { + warning("temperature value is unreaslistically high (> 50 Celcius)", call. = FALSE) + use.temp = FALSE + } + } + # output matrix for 15 minutes summaries - if (!temp.available) { + if (!use.temp) { metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) + metricnames_long = c("timestamp","nonwearscore","clippingscore","EN") } else if (light.available) { metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) + metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") } else { metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) + metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") } } + filequality = accread$filequality filetooshort = filequality$filetooshort filecorrupt = filequality$filecorrupt @@ -254,24 +265,15 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } data = suppressWarnings(rbind(S,data)) # suppress warnings about string as factor } - SWMT = get_starttime_weekday_meantemp_truncdata(temp.available, mon, dformat, + SWMT = get_starttime_weekday_meantemp_truncdata(mon, dformat, data, P, header, desiredtz = params_general[["desiredtz"]], sf, i, datafile, ws2, starttime, wday, wdayname, configtz = params_general[["configtz"]]) starttime = SWMT$starttime - meantemp = SWMT$meantemp - use.temp = SWMT$use.temp wday = SWMT$wday; wdayname = SWMT$wdayname params_general[["desiredtz"]] = SWMT$desiredtz; data = SWMT$data - if (use.temp && light.available) { - metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") - } else if (use.temp) { - metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") - } else { - metricnames_long = c("timestamp","nonwearscore","clippingscore","EN") - } rm(SWMT) if (i != 0 && exists("P")) { rm(P); gc() diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index 2f1d65a27..c848e5dc7 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -1,18 +1,9 @@ -get_starttime_weekday_meantemp_truncdata = function(use.temp, monc, dformat, data, +get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, P, header, desiredtz, sf, i, datafile, ws2, starttime, wday, wdayname, configtz = NULL) { #ensures that first window starts at logical timepoint relative to its size # (15,30,45 or 60 minutes of each hour) start_meas = ws2/60 - meantemp = c() - if (use.temp) { - meantemp = mean(as.numeric(data$temperature, na.rm = TRUE)) - if (mean(data$temperature[1:10]) > 50) { - warning("temperature value is unreaslistically high (> 50 Celcius)", call. = FALSE) - meantemp = 0 - use.temp = FALSE - } - } # extraction and modification of starting point of measurement if (i == 1) { #only do this for first block of data starttime = g.getstarttime( @@ -125,8 +116,6 @@ get_starttime_weekday_meantemp_truncdata = function(use.temp, monc, dformat, dat invisible( list( starttime = starttime, - meantemp = meantemp, - use.temp = use.temp, wday = wday, wdayname = wdayname, desiredtz = desiredtz, diff --git a/man/get_starttime_weekday_meantemp_truncdata.Rd b/man/get_starttime_weekday_meantemp_truncdata.Rd index ef0527c3b..95de7269d 100644 --- a/man/get_starttime_weekday_meantemp_truncdata.Rd +++ b/man/get_starttime_weekday_meantemp_truncdata.Rd @@ -1,25 +1,22 @@ \name{get_starttime_weekday_meantemp_truncdata } \alias{get_starttime_weekday_meantemp_truncdata} \title{ - Get starttime (adjusted), weekday, mean temp, and adjust data accordingly. + Get starttime (adjusted), weekday, and adjust data accordingly. } \description{ Function not intended for direct use by user. Used inside \link{g.getmeta} as an intermediate step between loading the raw data and calibrating it. This step includes extracting the starttime and adjusting it to nearest integer number of long epoch window - lengths in an hour, truncating the data accordingly, extracting the - corresponding weekday and mean temperature (if temperature is available). + lengths in an hour, truncating the data accordingly, and extracting the + corresponding weekday. } \usage{ - get_starttime_weekday_meantemp_truncdata(use.temp, monc, + get_starttime_weekday_meantemp_truncdata(monc, dformat, data, P, header, desiredtz, sf, i, datafile, ws2, starttime, wday, wdayname, configtz = NULL) } \arguments{ - \item{use.temp}{ - Boolean whether temperate is available. - } \item{monc}{ See \link{g.inspectfile} } From b9a239e10d284b8605b62df45e14442d9b0b1a26 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 25 Jan 2024 19:52:30 -0500 Subject: [PATCH 092/149] for most monitor types start timestamp is time[1] --- R/g.getstarttime.R | 235 +++++++++---------- R/get_starttime_weekday_meantemp_truncdata.R | 4 +- man/g.getstarttime.Rd | 5 +- 3 files changed, 113 insertions(+), 131 deletions(-) diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index e92afd7e6..62d65b1ad 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -1,146 +1,133 @@ -g.getstarttime = function(datafile, P, header, mon, dformat, desiredtz, configtz = NULL) { - #get input variables (relevant when read.myacc.csv is used) - #------------------------------------------------------------ - if (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) { - starttime = P$data[1,1] - starttime = as.POSIXlt(starttime, tz = desiredtz, origin = "1970-01-01") - } else if (mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) { +g.getstarttime = function(datafile, P, mon, dformat, desiredtz, configtz = NULL) { + starttime = NULL + if (is.null(configtz)) { + configtz = desiredtz + } + if ("time" %in% colnames(P$data)) { starttime = as.POSIXlt(P$data$time[1], tz = desiredtz, origin = "1970-01-01") - } else if (dformat == FORMAT$CSV && (mon == MONITOR$ACTIGRAPH || mon == MONITOR$AXIVITY || mon == MONITOR$VERISENSE)) { - if (mon == MONITOR$ACTIGRAPH || mon == MONITOR$VERISENSE) { - tmph = read.csv(datafile, nrow = 8, skip = 1) - tmphi = 1 - while (tmphi < 10) { - if (length(unlist(strsplit(format(tmph[tmphi,1]),"Start Time"))) > 1) { - break - } - tmphi = tmphi + 1 + } else if (mon == MONITOR$MOVISENS) { + starttime = unisensR::readUnisensStartTime(dirname(datafile)) + } else if (dformat == FORMAT$CSV && (mon == MONITOR$ACTIGRAPH || mon == MONITOR$VERISENSE)) { + tmph = read.csv(datafile, nrow = 8, skip = 1) + tmphi = 1 + while (tmphi < 10) { + if (length(unlist(strsplit(format(tmph[tmphi,1]),"Start Time"))) > 1) { + break } - starttime = unlist(strsplit(format(tmph[tmphi,1]),"Start Time"))[2] - #------------------------------- - tmphi = 1 - while (tmphi < 10) { - if (length(unlist(strsplit(format(tmph[tmphi,1]),"Start Date"))) > 1) { - break - } - tmphi = tmphi + 1 + tmphi = tmphi + 1 + } + starttime = unlist(strsplit(format(tmph[tmphi,1]),"Start Time"))[2] + #------------------------------- + tmphi = 1 + while (tmphi < 10) { + if (length(unlist(strsplit(format(tmph[tmphi,1]),"Start Date"))) > 1) { + break } - startdate = unlist(strsplit(format(tmph[tmphi,1]), "Start Date"))[2] - startdate = as.character(unlist(strsplit(format(startdate)," "))) - starttime = as.character(unlist(strsplit(format(starttime)," "))) + tmphi = tmphi + 1 } - if (mon == MONITOR$AXIVITY) { - starttime = P[1,1] - starttime = as.POSIXlt(starttime,tz = desiredtz,origin = "1970-01-01") - startdate = unlist(strsplit(format(starttime), " "))[1] - } else { - #----------------------------------------- - #remove possible spaces in date or time - newstarttime = starttime #20-11-2014 - newstartdate = startdate #20-11-2014 - if (length(startdate) > 1) { - for (rpsi in 1:length(startdate)) { - if (length(unlist(strsplit(startdate[rpsi], ""))) > 1) { - newstartdate = startdate[rpsi] - } + startdate = unlist(strsplit(format(tmph[tmphi,1]), "Start Date"))[2] + startdate = as.character(unlist(strsplit(format(startdate)," "))) + starttime = as.character(unlist(strsplit(format(starttime)," "))) + + #----------------------------------------- + #remove possible spaces in date or time + newstarttime = starttime #20-11-2014 + newstartdate = startdate #20-11-2014 + if (length(startdate) > 1) { + for (rpsi in 1:length(startdate)) { + if (length(unlist(strsplit(startdate[rpsi], ""))) > 1) { + newstartdate = startdate[rpsi] } } - if (length(starttime) > 1) { - for (rpsi in 1:length(starttime)) { - if (length(unlist(strsplit(starttime[rpsi], ""))) > 1) { - newstarttime = starttime[rpsi] - } + } + if (length(starttime) > 1) { + for (rpsi in 1:length(starttime)) { + if (length(unlist(strsplit(starttime[rpsi], ""))) > 1) { + newstarttime = starttime[rpsi] } } - starttime = newstarttime - startdate = newstartdate } + starttime = newstarttime + startdate = newstartdate + #----------------------------------------- # flexible four date/time formats starttime = paste0(startdate," ",starttime) getOption("digits.secs") options(digits.secs = 3) - if ((mon == MONITOR$ACTIGRAPH && dformat != FORMAT$GT3X) || mon == MONITOR$VERISENSE) { - options(warn = -1) - topline = as.matrix(colnames(as.matrix(read.csv(datafile, nrow = 1, skip = 0)))) - topline = topline[1] #To avoid dots - options(warn = 0) - # Extraction of date format. - # all formats to consider following R date formatting symbols: - # Y year including century, y year excluding century, b month as character, m month as a number - # Note: year in the middle of a date is assumed to not occur. - allformats = c("mdY", "mdy","bdY", "bdy", - "dmY", "dmy", "dbY", "dby", - "Ymd", "ymd", "Ybd", "ybd", - "Ydm", "ydm", "Ydb", "ydb") - fc = data.frame(matrix(0,1,length(allformats)), stringsAsFactors = TRUE) # data.frame to keep track of formats that have been checked - names(fc) = allformats - # Now systematically go through all possible formats to identify which one it is - fc$mdY = length(grep("MM[.]dd[.]yyyy|M[.]d[.]yyyy|M[.]dd[.]yyyy|MM[.]d[.]yyyy",topline)) - fc$mdy = length(grep("MM[.]dd[.]yy|M[.]d[.]yy|M[.]dd[.]yy|MM[.]d[.]yy",topline)) - fc$bdY = length(grep("MMM[.]dd[.]yyyy|MMM[.]d[.]yyyy",topline)) - fc$bdy = length(grep("MMM[.]dd[.]yy|MMM[.]d[.]yy",topline)) - if (fc$mdY == 1 & fc$mdy == 1) fc$mdy = 0 # not yy when yyyy is also detected - if (fc$bdY == 1 & fc$bdy == 1) fc$bdy = 0 # not yy when yyyy is also detected - if (fc$mdY == 1 & fc$bdY == 1) fc$mdY = 0 # not M(M) when MMM is also detected for yyyy - if (fc$mdy == 1 & fc$bdy == 1) fc$mdy = 0 # not M(M) when MMM is also detected for yy - fc$dmY = length(grep("d[.]M[.]yyyy|d[.]MM[.]yyyy",topline)) - fc$dmy = length(grep("d[.]M[.]yy|d[.]MM[.]yy",topline)) - fc$dbY = length(grep("d[.]MMM[.]yyyy",topline)) - fc$dby = length(grep("d[.]MMM[.]yy",topline)) - if (fc$dmY == 1 & fc$dmy == 1) fc$dmy = 0 # not yy when yyyy is also detected - if (fc$dbY == 1 & fc$dby == 1) fc$dby = 0 # not yy when yyyy is also detected - if (fc$dmY == 1 & fc$dbY == 1) fc$dmY = 0 # not M(M) when MMM is also detected for yyyy - if (fc$dmy == 1 & fc$dby == 1) fc$dmy = 0 # not M(M) when MMM is also detected for yy - fc$Ymd = length(grep("yyyy[.]M[.]d|yyyy[.]MM[.]d",topline)) - fc$ymd = length(grep("yy[.]M[.]d|yy[.]MM[.]d",topline)) - fc$Ybd = length(grep("yyyy[.]MMM[.]d",topline)) - fc$ybd = length(grep("yy[.]MMM[.]d",topline)) - if (fc$Ymd == 1 & fc$ymd == 1) fc$ymd = 0 # not yy when yyyy is also detected - if (fc$Ybd == 1 & fc$ybd == 1) fc$ybd = 0 # not yy when yyyy is also detected - if (fc$Ymd == 1 & fc$Ybd == 1) fc$Ymd = 0 # not M(M) when MMM is also detected for yyyy - if (fc$ymd == 1 & fc$ybd == 1) fc$ymd = 0 # not M(M) when MMM is also detected for yy - fc$Ydm = length(grep("yyyy[.]dd[.]MM|yyyy[.]d[.]M|yyyy[.]d[.]MM|yyyy[.]dd[.]M",topline)) - fc$ydm = length(grep("yy[.]dd[.]MM|yy[.]d[.]M|yy[.]d[.]MM|yy[.]dd[.]M",topline)) - fc$Ydb = length(grep("yyyy[.]dd[.]MMM|yyyy[.]d[.]MMM",topline)) - fc$ydb = length(grep("yy[.]dd[.]MMM|yy[.]d[.]MMM",topline)) - if (fc$Ydm == 1 & fc$ydm == 1) fc$ydm = 0 # not yy when yyyy is also detected - if (fc$Ydb == 1 & fc$ydb == 1) fc$ydb = 0 # not yy when yyyy is also detected - if (fc$Ydm == 1 & fc$Ydb == 1) fc$Ydm = 0 # not M(M) when MMM is also detected for yyyy - if (fc$ydm == 1 & fc$ydb == 1) fc$ydm = 0 # not M(M) when MMM is also detected for yy - # Now we can identify which format it is: - theformat = names(fc)[which(fc == 1)[1]] - if (length(theformat) == 0) warning("date format not recognised") - splitformat = unlist(strsplit(theformat,"")) - # identify separater: - if (length(grep("/",starttime)) > 0) { - sepa = "/" + + options(warn = -1) + topline = as.matrix(colnames(as.matrix(read.csv(datafile, nrow = 1, skip = 0)))) + topline = topline[1] #To avoid dots + options(warn = 0) + # Extraction of date format. + # all formats to consider following R date formatting symbols: + # Y year including century, y year excluding century, b month as character, m month as a number + # Note: year in the middle of a date is assumed to not occur. + allformats = c("mdY", "mdy","bdY", "bdy", + "dmY", "dmy", "dbY", "dby", + "Ymd", "ymd", "Ybd", "ybd", + "Ydm", "ydm", "Ydb", "ydb") + fc = data.frame(matrix(0,1,length(allformats)), stringsAsFactors = TRUE) # data.frame to keep track of formats that have been checked + names(fc) = allformats + # Now systematically go through all possible formats to identify which one it is + fc$mdY = length(grep("MM[.]dd[.]yyyy|M[.]d[.]yyyy|M[.]dd[.]yyyy|MM[.]d[.]yyyy",topline)) + fc$mdy = length(grep("MM[.]dd[.]yy|M[.]d[.]yy|M[.]dd[.]yy|MM[.]d[.]yy",topline)) + fc$bdY = length(grep("MMM[.]dd[.]yyyy|MMM[.]d[.]yyyy",topline)) + fc$bdy = length(grep("MMM[.]dd[.]yy|MMM[.]d[.]yy",topline)) + if (fc$mdY == 1 & fc$mdy == 1) fc$mdy = 0 # not yy when yyyy is also detected + if (fc$bdY == 1 & fc$bdy == 1) fc$bdy = 0 # not yy when yyyy is also detected + if (fc$mdY == 1 & fc$bdY == 1) fc$mdY = 0 # not M(M) when MMM is also detected for yyyy + if (fc$mdy == 1 & fc$bdy == 1) fc$mdy = 0 # not M(M) when MMM is also detected for yy + fc$dmY = length(grep("d[.]M[.]yyyy|d[.]MM[.]yyyy",topline)) + fc$dmy = length(grep("d[.]M[.]yy|d[.]MM[.]yy",topline)) + fc$dbY = length(grep("d[.]MMM[.]yyyy",topline)) + fc$dby = length(grep("d[.]MMM[.]yy",topline)) + if (fc$dmY == 1 & fc$dmy == 1) fc$dmy = 0 # not yy when yyyy is also detected + if (fc$dbY == 1 & fc$dby == 1) fc$dby = 0 # not yy when yyyy is also detected + if (fc$dmY == 1 & fc$dbY == 1) fc$dmY = 0 # not M(M) when MMM is also detected for yyyy + if (fc$dmy == 1 & fc$dby == 1) fc$dmy = 0 # not M(M) when MMM is also detected for yy + fc$Ymd = length(grep("yyyy[.]M[.]d|yyyy[.]MM[.]d",topline)) + fc$ymd = length(grep("yy[.]M[.]d|yy[.]MM[.]d",topline)) + fc$Ybd = length(grep("yyyy[.]MMM[.]d",topline)) + fc$ybd = length(grep("yy[.]MMM[.]d",topline)) + if (fc$Ymd == 1 & fc$ymd == 1) fc$ymd = 0 # not yy when yyyy is also detected + if (fc$Ybd == 1 & fc$ybd == 1) fc$ybd = 0 # not yy when yyyy is also detected + if (fc$Ymd == 1 & fc$Ybd == 1) fc$Ymd = 0 # not M(M) when MMM is also detected for yyyy + if (fc$ymd == 1 & fc$ybd == 1) fc$ymd = 0 # not M(M) when MMM is also detected for yy + fc$Ydm = length(grep("yyyy[.]dd[.]MM|yyyy[.]d[.]M|yyyy[.]d[.]MM|yyyy[.]dd[.]M",topline)) + fc$ydm = length(grep("yy[.]dd[.]MM|yy[.]d[.]M|yy[.]d[.]MM|yy[.]dd[.]M",topline)) + fc$Ydb = length(grep("yyyy[.]dd[.]MMM|yyyy[.]d[.]MMM",topline)) + fc$ydb = length(grep("yy[.]dd[.]MMM|yy[.]d[.]MMM",topline)) + if (fc$Ydm == 1 & fc$ydm == 1) fc$ydm = 0 # not yy when yyyy is also detected + if (fc$Ydb == 1 & fc$ydb == 1) fc$ydb = 0 # not yy when yyyy is also detected + if (fc$Ydm == 1 & fc$Ydb == 1) fc$Ydm = 0 # not M(M) when MMM is also detected for yyyy + if (fc$ydm == 1 & fc$ydb == 1) fc$ydm = 0 # not M(M) when MMM is also detected for yy + # Now we can identify which format it is: + theformat = names(fc)[which(fc == 1)[1]] + if (length(theformat) == 0) warning("date format not recognised") + splitformat = unlist(strsplit(theformat,"")) + # identify separater: + if (length(grep("/",starttime)) > 0) { + sepa = "/" + } else { + if (length(grep("-",starttime)) > 0) { + sepa = "-" } else { - if (length(grep("-",starttime)) > 0) { - sepa = "-" + if (length(grep(".",starttime)) > 0) { + sepa = "." } else { - if (length(grep(".",starttime)) > 0) { - sepa = "." - } else { - warning("separater character for dates not identified") - } + warning("separator character for dates not identified") } } - expectedformat = paste0('%',splitformat[1],sepa,'%',splitformat[2],sepa,'%',splitformat[3],' %H:%M:%S') - Sys.setlocale("LC_TIME", "C") # set language to English because that is what we use elsewhere in GGIR - starttime = as.POSIXlt(starttime, format = expectedformat) - } - } else if (dformat == FORMAT$AD_HOC_CSV && mon == MONITOR$AD_HOC) { - starttime = P$data$timestamp[1] - } else if (mon == MONITOR$MOVISENS) { - starttime = unisensR::readUnisensStartTime(dirname(datafile)) - } else if (dformat == FORMAT$GT3X && mon == MONITOR$ACTIGRAPH) { - if (is.null(configtz)) configtz = desiredtz - starttime = as.POSIXct(format(P[1, 1]), tz = configtz) - if (configtz != desiredtz) { - attr(starttime, "tzone") <- desiredtz } - starttime = as.POSIXlt(starttime, tz = desiredtz) + expectedformat = paste0('%',splitformat[1],sepa,'%',splitformat[2],sepa,'%',splitformat[3],' %H:%M:%S') + Sys.setlocale("LC_TIME", "C") # set language to English because that is what we use elsewhere in GGIR + starttime = as.POSIXlt(starttime, format = expectedformat) + } else { + stop(paste0("Timestamps not found for monitor type ", mon, " and file format type ", dformat, + "\nThis should not happen.")) } + return(starttime) } diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index c848e5dc7..452b59318 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -9,7 +9,6 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, starttime = g.getstarttime( datafile = datafile, P = P, - header = header, mon = monc, dformat = dformat, desiredtz = desiredtz, @@ -19,12 +18,11 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, #================================================== #inspection timezone timezone = attr(unclass(as.POSIXlt(starttime[1])), which = "tzone") - starttimebefore = as.POSIXlt(starttime) # assuming that timestamps is good, but that timezone might be lost in conversion from string to POSIXct if (dformat == FORMAT$BIN) { #not sure whether this is required for csv-format (2) if (length(which(timezone == "GMT")) > 0) { if (length(desiredtz) == 0) { - warning("desiredtz not specified, local timezoneused as default", call. = FALSE) + warning("desiredtz not specified, local timezone used as default", call. = FALSE) desiredtz = "" } starttime = as.POSIXlt(starttime[1], tz = desiredtz) diff --git a/man/g.getstarttime.Rd b/man/g.getstarttime.Rd index 32bdfddc3..910da32b5 100644 --- a/man/g.getstarttime.Rd +++ b/man/g.getstarttime.Rd @@ -9,7 +9,7 @@ for direct use by package user } \usage{ - g.getstarttime(datafile, P, header, mon, dformat, desiredtz, + g.getstarttime(datafile, P, mon, dformat, desiredtz, configtz = NULL) } \arguments{ @@ -19,9 +19,6 @@ \item{P}{ Object extracted with \link{g.readaccfile} } - \item{header}{ - File header extracted with \link{g.inspectfile} - } \item{mon}{ Same as in \link{g.dotorcomma} } From caea2b44d30d6a08a4cafb54f75fda8c8b806215 Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 25 Jan 2024 22:30:56 -0500 Subject: [PATCH 093/149] force correct timezone on movisens start timestamp --- R/g.getstarttime.R | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index 62d65b1ad..f6ae0b837 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -7,6 +7,22 @@ g.getstarttime = function(datafile, P, mon, dformat, desiredtz, configtz = NULL) starttime = as.POSIXlt(P$data$time[1], tz = desiredtz, origin = "1970-01-01") } else if (mon == MONITOR$MOVISENS) { starttime = unisensR::readUnisensStartTime(dirname(datafile)) + + # movisens timestamp is stored in unisens.xml file as a string "%Y-%m-%dT%H:%M:%S", + # without a timezone. + # unisensR::readUnisensStartTime() converts this string into a POSIXct object, + # but since no timezone information was stored, this conversion happens using + # the system timezone. + # If configtz is different from the system timezone (""), we need to force the + # correct timezone (force, while keeping the same hh:mm:ss time, not just convert to congigtz) + # (Converting to POSIXlt then back to POSIXct with the correct timezone + # seems to work fine as an equivalent of lubridate::force_tz()). + if (configtz != "") { + starttime = as.POSIXlt(starttime) + starttime = as.POSIXct(starttime, tz=configtz) + } + starttime = as.POSIXlt(starttime, tz = desiredtz) + } else if (dformat == FORMAT$CSV && (mon == MONITOR$ACTIGRAPH || mon == MONITOR$VERISENSE)) { tmph = read.csv(datafile, nrow = 8, skip = 1) tmphi = 1 From c3ee322e2851d8eff3abd2544336d7a250fad675 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 14:06:02 -0500 Subject: [PATCH 094/149] use curly brackets for more than one operation in the if block Simply putting all the operations on the same line with if() doesn't do the trick. Only the first operation will end up in the if() block this way, and anything after that will get executed all the time. --- R/get_starttime_weekday_meantemp_truncdata.R | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index 452b59318..f7a58b321 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -14,7 +14,9 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, desiredtz = desiredtz, configtz = configtz ) - if (exists("P")) rm(P); gc() + if (exists("P")) { + rm(P); gc() + } #================================================== #inspection timezone timezone = attr(unclass(as.POSIXlt(starttime[1])), which = "tzone") From d7ebd3b309719466f1786d7d3c86a8e3d4801d55 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 14:47:33 -0500 Subject: [PATCH 095/149] cleanup --- R/g.getstarttime.R | 49 ++++++++++++++++++++-------------------------- 1 file changed, 21 insertions(+), 28 deletions(-) diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index f6ae0b837..32ac4c7ec 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -24,47 +24,40 @@ g.getstarttime = function(datafile, P, mon, dformat, desiredtz, configtz = NULL) starttime = as.POSIXlt(starttime, tz = desiredtz) } else if (dformat == FORMAT$CSV && (mon == MONITOR$ACTIGRAPH || mon == MONITOR$VERISENSE)) { - tmph = read.csv(datafile, nrow = 8, skip = 1) + starttime = startdate = NULL + header_rows = 8 + tmph = read.csv(datafile, nrow = header_rows, skip = 1) + tmphi = 1 - while (tmphi < 10) { - if (length(unlist(strsplit(format(tmph[tmphi,1]),"Start Time"))) > 1) { + while (tmphi < header_rows) { + tmp = unlist(strsplit(format(tmph[tmphi,1]),"Start Time")) + if (length(tmp) > 1) { + starttime = tmp[2] break } tmphi = tmphi + 1 } - starttime = unlist(strsplit(format(tmph[tmphi,1]),"Start Time"))[2] + if (is.null(starttime)) { + stop(paste0("Start Time not found in the header of ", datafile)) + } #------------------------------- tmphi = 1 - while (tmphi < 10) { - if (length(unlist(strsplit(format(tmph[tmphi,1]),"Start Date"))) > 1) { + while (tmphi < header_rows) { + tmp = unlist(strsplit(format(tmph[tmphi,1]),"Start Date")) + if (length(tmp) > 1) { + startdate = tmp[2] break } tmphi = tmphi + 1 } - startdate = unlist(strsplit(format(tmph[tmphi,1]), "Start Date"))[2] - startdate = as.character(unlist(strsplit(format(startdate)," "))) - starttime = as.character(unlist(strsplit(format(starttime)," "))) + if (is.null(startdate)) { + stop(paste0("Start Date not found in the header of ", datafile)) + } #----------------------------------------- - #remove possible spaces in date or time - newstarttime = starttime #20-11-2014 - newstartdate = startdate #20-11-2014 - if (length(startdate) > 1) { - for (rpsi in 1:length(startdate)) { - if (length(unlist(strsplit(startdate[rpsi], ""))) > 1) { - newstartdate = startdate[rpsi] - } - } - } - if (length(starttime) > 1) { - for (rpsi in 1:length(starttime)) { - if (length(unlist(strsplit(starttime[rpsi], ""))) > 1) { - newstarttime = starttime[rpsi] - } - } - } - starttime = newstarttime - startdate = newstartdate + # trim any spaces + startdate = gsub(" ", "", startdate, fixed = TRUE) + starttime = gsub(" ", "", starttime, fixed = TRUE) #----------------------------------------- # flexible four date/time formats From 9619be0ef91bc4245fb8e082ea2c1a8115e87fa3 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 15:05:02 -0500 Subject: [PATCH 096/149] no need to worry about factors This is a matrix of 0s, no strings or factors in it. --- R/g.getstarttime.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index 32ac4c7ec..efade8103 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -77,7 +77,7 @@ g.getstarttime = function(datafile, P, mon, dformat, desiredtz, configtz = NULL) "dmY", "dmy", "dbY", "dby", "Ymd", "ymd", "Ybd", "ybd", "Ydm", "ydm", "Ydb", "ydb") - fc = data.frame(matrix(0,1,length(allformats)), stringsAsFactors = TRUE) # data.frame to keep track of formats that have been checked + fc = data.frame(matrix(0,1,length(allformats))) # data.frame to keep track of formats that have been checked names(fc) = allformats # Now systematically go through all possible formats to identify which one it is fc$mdY = length(grep("MM[.]dd[.]yyyy|M[.]d[.]yyyy|M[.]dd[.]yyyy|MM[.]d[.]yyyy",topline)) From 3214929f562e07fcec79f5b80b5e29b02d5a2cad Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 15:35:42 -0500 Subject: [PATCH 097/149] names(fc)[NA] is NA, which is of length 1, not 0 --- R/g.getstarttime.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index efade8103..2d2594b29 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -114,7 +114,7 @@ g.getstarttime = function(datafile, P, mon, dformat, desiredtz, configtz = NULL) if (fc$ydm == 1 & fc$ydb == 1) fc$ydm = 0 # not M(M) when MMM is also detected for yy # Now we can identify which format it is: theformat = names(fc)[which(fc == 1)[1]] - if (length(theformat) == 0) warning("date format not recognised") + if (is.na(theformat)) warning("date format not recognised") splitformat = unlist(strsplit(theformat,"")) # identify separater: if (length(grep("/",starttime)) > 0) { From 6bafbc512af314af27dec856ab48d90de03a6bd4 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 15:53:50 -0500 Subject: [PATCH 098/149] timezone conversion for Actigraph csv start time --- R/g.getstarttime.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index 2d2594b29..0488e1bc9 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -132,7 +132,8 @@ g.getstarttime = function(datafile, P, mon, dformat, desiredtz, configtz = NULL) } expectedformat = paste0('%',splitformat[1],sepa,'%',splitformat[2],sepa,'%',splitformat[3],' %H:%M:%S') Sys.setlocale("LC_TIME", "C") # set language to English because that is what we use elsewhere in GGIR - starttime = as.POSIXlt(starttime, format = expectedformat) + starttime = as.POSIXct(starttime, format = expectedformat, tz = configtz) + starttime = as.POSIXlt(starttime, tz = desiredtz) } else { stop(paste0("Timestamps not found for monitor type ", mon, " and file format type ", dformat, "\nThis should not happen.")) From e3621bb19a02837e95f3e1c53d9020a06c2bcb71 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 16:05:43 -0500 Subject: [PATCH 099/149] timezone should be correct at this point --- R/get_starttime_weekday_meantemp_truncdata.R | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index f7a58b321..0de39e392 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -17,19 +17,6 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, if (exists("P")) { rm(P); gc() } - #================================================== - #inspection timezone - timezone = attr(unclass(as.POSIXlt(starttime[1])), which = "tzone") - # assuming that timestamps is good, but that timezone might be lost in conversion from string to POSIXct - if (dformat == FORMAT$BIN) { #not sure whether this is required for csv-format (2) - if (length(which(timezone == "GMT")) > 0) { - if (length(desiredtz) == 0) { - warning("desiredtz not specified, local timezone used as default", call. = FALSE) - desiredtz = "" - } - starttime = as.POSIXlt(starttime[1], tz = desiredtz) - } - } #================================================ #assess weekday wday = unclass(as.POSIXlt(starttime[1]))$wday #day of the week 0-6 and 0 is Sunday From 5ef40c1ead5776b0489e3395c4e41849696b346b Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 19:09:40 -0500 Subject: [PATCH 100/149] starttime is already a POSIXlt object --- R/get_starttime_weekday_meantemp_truncdata.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index 0de39e392..5044ca9bd 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -19,7 +19,7 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, } #================================================ #assess weekday - wday = unclass(as.POSIXlt(starttime[1]))$wday #day of the week 0-6 and 0 is Sunday + wday = starttime$wday #day of the week 0-6 and 0 is Sunday wday = wday + 1 weekdays = c("Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday") wdayname = weekdays[wday] From f132e18dfc908a8365d1ca63aa4b9ae773fe1ab4 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 21:59:51 -0500 Subject: [PATCH 101/149] starttime now always POSIXlt, so can simplify code --- R/g.getmeta.R | 2 +- R/get_starttime_weekday_meantemp_truncdata.R | 91 +++++--------------- 2 files changed, 21 insertions(+), 72 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index ee09080e3..385c53049 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -272,7 +272,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), starttime, wday, wdayname, configtz = params_general[["configtz"]]) starttime = SWMT$starttime wday = SWMT$wday; wdayname = SWMT$wdayname - params_general[["desiredtz"]] = SWMT$desiredtz; data = SWMT$data + data = SWMT$data rm(SWMT) if (i != 0 && exists("P")) { diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index 5044ca9bd..47457e1f4 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -17,95 +17,44 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, if (exists("P")) { rm(P); gc() } - #================================================ - #assess weekday + + # assess weekday wday = starttime$wday #day of the week 0-6 and 0 is Sunday wday = wday + 1 weekdays = c("Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday") wdayname = weekdays[wday] - #====================================================== - #assess how much data to delete till next 15 minute period - tmp = unlist(strsplit(format(starttime)," ")) - if (length(tmp) > 1) { - starttime2 = as.numeric(unlist(strsplit(tmp[2],":"))) - } else if (length(tmp) == 1 && !grepl("T", tmp)) { - starttime2 = as.numeric(unlist(strsplit(tmp[2],":"))) - } else { - # first get char to POSIX - tmp = iso8601chartime2POSIX(starttime, tz = desiredtz) - tmp = unlist(strsplit(format(tmp)," ")) # to keep it consistent with what we had - starttime2 = as.numeric(unlist(strsplit(format(tmp[2]),":"))) - } - if (length(which(is.na(starttime2) == TRUE)) > 0 | - length(starttime2) == 0) { - starttime2 = c(0,0,0) - } - start_hr = as.numeric(starttime2[1]) - start_min = as.numeric(starttime2[2]) - start_sec = as.numeric(starttime2[3]) - + + # assess how much data to delete till next 15 minute period + + start_min = starttime$min + start_sec = starttime$sec + secshift = 60 - start_sec #shift in seconds needed if (secshift != 60) { start_min = start_min + 1 #shift in minutes needed (+1 one to account for seconds comp) } if (secshift == 60) secshift = 0 # if starttime is 00:00 then we do not want to remove data - minshift = start_meas - (((start_min/start_meas) - floor(start_min/start_meas)) * start_meas) + + minshift = start_meas - (start_min %% start_meas) if (minshift == start_meas) { - minshift = 0; - + minshift = 0 } + sampleshift = ((minshift)*60*sf) + (secshift*sf) #derive sample shift - if (floor(sampleshift) > 1) { - data = data[-c(1:floor(sampleshift)),] #delete data accordingly - } - newmin = start_min + minshift #recalculate first timestamp - newsec = 0 - remem2add24 = FALSE - if (newmin >= 60) { - newmin = newmin - 60 - start_hr = start_hr + 1 - if (start_hr == 24) { #if measurement is started in 15 minutes before midnight - start_hr = 0 - remem2add24 = TRUE #remember to add 24 hours because this is now the wrong day - } - } - starttime3 = paste0(tmp[1], " ", start_hr, ":", newmin, ":", newsec) - #create timestamp from string (now desiredtz is added) - if (length(desiredtz) == 0) { - warning("desiredtz not specified, local timezone used as default", call. = FALSE) - desiredtz = "" - } - starttime_a = as.POSIXct(starttime3, format = "%d/%m/%Y %H:%M:%S", tz = desiredtz) - starttime_b = as.POSIXct(starttime3, format = "%d-%m-%Y %H:%M:%S", tz = desiredtz) - starttime_c = as.POSIXct(starttime3, format = "%Y/%m/%d %H:%M:%S", tz = desiredtz) - starttime_d = as.POSIXct(starttime3, format = "%Y-%m-%d %H:%M:%S", tz = desiredtz) - if (is.na(starttime_a) == FALSE) { - starttime = starttime_a - } else { - if (is.na(starttime_b) == FALSE) { - starttime = starttime_b - } else { - if (is.na(starttime_c) == FALSE) { - starttime = starttime_c - } else { - if (is.na(starttime_d) == FALSE) { - starttime = starttime_d - } else { - warning("date not recognized") - } - } - } - } - if (remem2add24 == TRUE) { - starttime = as.POSIXlt(as.numeric(starttime) + (24 * 3600), origin = "1970-01-01") - } + sampleshift = floor(sampleshift) + if (sampleshift > 1) { + data = data[-c(1 : sampleshift),] # delete data accordingly + } + + # recalculate the timestamp + starttime$min = start_min + minshift # if the result is >= 60, hours (and possibly date) will adjust automatically + starttime$sec = 0 } invisible( list( starttime = starttime, wday = wday, wdayname = wdayname, - desiredtz = desiredtz, data = data ) ) From fb95632d3f9b1cfd218f7141f63d7c87492bf270 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 22:09:50 -0500 Subject: [PATCH 102/149] only call get_starttime_weekday[...]() for i==1 --- R/g.getmeta.R | 22 ++--- R/get_starttime_weekday_meantemp_truncdata.R | 89 +++++++++---------- ...et_starttime_weekday_meantemp_truncdata.Rd | 6 +- 3 files changed, 57 insertions(+), 60 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 385c53049..e10997c9b 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -265,16 +265,18 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } data = suppressWarnings(rbind(S,data)) # suppress warnings about string as factor } - SWMT = get_starttime_weekday_meantemp_truncdata(mon, dformat, - data, - P, header, desiredtz = params_general[["desiredtz"]], - sf, i, datafile, ws2, - starttime, wday, wdayname, configtz = params_general[["configtz"]]) - starttime = SWMT$starttime - wday = SWMT$wday; wdayname = SWMT$wdayname - data = SWMT$data - - rm(SWMT) + if (i == 1) { + SWMT = get_starttime_weekday_meantemp_truncdata(mon, dformat, + data, + P, header, desiredtz = params_general[["desiredtz"]], + sf, datafile, ws2, + starttime, wday, wdayname, configtz = params_general[["configtz"]]) + starttime = SWMT$starttime + wday = SWMT$wday; wdayname = SWMT$wdayname + data = SWMT$data + + rm(SWMT) + } if (i != 0 && exists("P")) { rm(P); gc() } diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_meantemp_truncdata.R index 47457e1f4..8bb67049e 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_meantemp_truncdata.R @@ -1,55 +1,54 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, - P, header, desiredtz, sf, i, datafile, + P, header, desiredtz, sf, datafile, ws2, starttime, wday, wdayname, configtz = NULL) { #ensures that first window starts at logical timepoint relative to its size # (15,30,45 or 60 minutes of each hour) start_meas = ws2/60 # extraction and modification of starting point of measurement - if (i == 1) { #only do this for first block of data - starttime = g.getstarttime( - datafile = datafile, - P = P, - mon = monc, - dformat = dformat, - desiredtz = desiredtz, - configtz = configtz - ) - if (exists("P")) { - rm(P); gc() - } - - # assess weekday - wday = starttime$wday #day of the week 0-6 and 0 is Sunday - wday = wday + 1 - weekdays = c("Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday") - wdayname = weekdays[wday] - - # assess how much data to delete till next 15 minute period - - start_min = starttime$min - start_sec = starttime$sec - - secshift = 60 - start_sec #shift in seconds needed - if (secshift != 60) { - start_min = start_min + 1 #shift in minutes needed (+1 one to account for seconds comp) - } - if (secshift == 60) secshift = 0 # if starttime is 00:00 then we do not want to remove data - - minshift = start_meas - (start_min %% start_meas) - if (minshift == start_meas) { - minshift = 0 - } - - sampleshift = ((minshift)*60*sf) + (secshift*sf) #derive sample shift - sampleshift = floor(sampleshift) - if (sampleshift > 1) { - data = data[-c(1 : sampleshift),] # delete data accordingly - } - - # recalculate the timestamp - starttime$min = start_min + minshift # if the result is >= 60, hours (and possibly date) will adjust automatically - starttime$sec = 0 + starttime = g.getstarttime( + datafile = datafile, + P = P, + mon = monc, + dformat = dformat, + desiredtz = desiredtz, + configtz = configtz + ) + if (exists("P")) { + rm(P); gc() + } + + # assess weekday + wday = starttime$wday #day of the week 0-6 and 0 is Sunday + wday = wday + 1 + weekdays = c("Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday") + wdayname = weekdays[wday] + + # assess how much data to delete till next 15 minute period + + start_min = starttime$min + start_sec = starttime$sec + + secshift = 60 - start_sec #shift in seconds needed + if (secshift != 60) { + start_min = start_min + 1 #shift in minutes needed (+1 one to account for seconds comp) } + if (secshift == 60) secshift = 0 # if starttime is 00:00 then we do not want to remove data + + minshift = start_meas - (start_min %% start_meas) + if (minshift == start_meas) { + minshift = 0 + } + + sampleshift = ((minshift)*60*sf) + (secshift*sf) #derive sample shift + sampleshift = floor(sampleshift) + if (sampleshift > 1) { + data = data[-c(1 : sampleshift),] # delete data accordingly + } + + # recalculate the timestamp + starttime$min = start_min + minshift # if the result is >= 60, hours (and possibly date) will adjust automatically + starttime$sec = 0 + invisible( list( starttime = starttime, diff --git a/man/get_starttime_weekday_meantemp_truncdata.Rd b/man/get_starttime_weekday_meantemp_truncdata.Rd index 95de7269d..76bbdfa3a 100644 --- a/man/get_starttime_weekday_meantemp_truncdata.Rd +++ b/man/get_starttime_weekday_meantemp_truncdata.Rd @@ -13,7 +13,7 @@ } \usage{ get_starttime_weekday_meantemp_truncdata(monc, - dformat, data, P, header, desiredtz, sf, i, + dformat, data, P, header, desiredtz, sf, datafile, ws2, starttime, wday, wdayname, configtz = NULL) } \arguments{ @@ -38,10 +38,6 @@ \item{sf}{ Numeric, sample frequency in Hertz } - \item{i}{ - Integer index of passed on from \link{g.getmeta} - to indicate what data block is being read. - } \item{datafile}{ See \link{g.getmeta} } From bd7d6f07a5d67a155ae802a4bfe5c41b54cbdf2e Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 26 Jan 2024 22:15:38 -0500 Subject: [PATCH 103/149] rename method, to remove meantemp from name because it doesn't deal with mean temperature anymore. --- NAMESPACE | 2 +- R/g.getmeta.R | 10 +++++----- R/g.part1.R | 2 +- ...uncdata.R => get_starttime_weekday_truncdata.R} | 14 +++++++------- ...cdata.Rd => get_starttime_weekday_truncdata.Rd} | 6 +++--- 5 files changed, 17 insertions(+), 17 deletions(-) rename R/{get_starttime_weekday_meantemp_truncdata.R => get_starttime_weekday_truncdata.R} (70%) rename man/{get_starttime_weekday_meantemp_truncdata.Rd => get_starttime_weekday_truncdata.Rd} (91%) diff --git a/NAMESPACE b/NAMESPACE index 6355ea17b..87c1d235b 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -24,7 +24,7 @@ export(g.analyse, g.calibrate, g.part5.addsib, g.part5.definedays, g.part5.fixmissingnight, g.part5.onsetwaketiming, g.part5.wakesleepwindows, g.part5.savetimeseries, - get_nw_clip_block_params, get_starttime_weekday_meantemp_truncdata, + get_nw_clip_block_params, get_starttime_weekday_truncdata, ismovisens, g.readtemp_movisens, g.conv.actlog, g.fragmentation, g.intensitygradient, g.part5.handle_lux_extremes, diff --git a/R/g.getmeta.R b/R/g.getmeta.R index e10997c9b..c13f5f8f5 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -266,11 +266,11 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), data = suppressWarnings(rbind(S,data)) # suppress warnings about string as factor } if (i == 1) { - SWMT = get_starttime_weekday_meantemp_truncdata(mon, dformat, - data, - P, header, desiredtz = params_general[["desiredtz"]], - sf, datafile, ws2, - starttime, wday, wdayname, configtz = params_general[["configtz"]]) + SWMT = get_starttime_weekday_truncdata(mon, dformat, + data, + P, header, desiredtz = params_general[["desiredtz"]], + sf, datafile, ws2, + starttime, wday, wdayname, configtz = params_general[["configtz"]]) starttime = SWMT$starttime wday = SWMT$wday; wdayname = SWMT$wdayname data = SWMT$data diff --git a/R/g.part1.R b/R/g.part1.R index afcf661b5..f8abeb5ee 100644 --- a/R/g.part1.R +++ b/R/g.part1.R @@ -384,7 +384,7 @@ g.part1 = function(datadir = c(), metadatadir = c(), f0 = 1, f1 = c(), myfun = c "g.getstarttime", "POSIXtime2iso8601", "iso8601chartime2POSIX", "datadir2fnames", "read.myacc.csv", "get_nw_clip_block_params", - "get_starttime_weekday_meantemp_truncdata", "ismovisens", + "get_starttime_weekday_truncdata", "ismovisens", "g.extractheadervars", "g.imputeTimegaps", "extract_params", "load_params", "check_params", "detect_nonwear_clipping") diff --git a/R/get_starttime_weekday_meantemp_truncdata.R b/R/get_starttime_weekday_truncdata.R similarity index 70% rename from R/get_starttime_weekday_meantemp_truncdata.R rename to R/get_starttime_weekday_truncdata.R index 8bb67049e..8fedfeba1 100644 --- a/R/get_starttime_weekday_meantemp_truncdata.R +++ b/R/get_starttime_weekday_truncdata.R @@ -1,7 +1,7 @@ -get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, - P, header, desiredtz, sf, datafile, - ws2, starttime, wday, wdayname, configtz = NULL) { - #ensures that first window starts at logical timepoint relative to its size +get_starttime_weekday_truncdata = function(monc, dformat, data, + P, header, desiredtz, sf, datafile, + ws2, starttime, wday, wdayname, configtz = NULL) { + # ensures that first window starts at logical timepoint relative to its size # (15,30,45 or 60 minutes of each hour) start_meas = ws2/60 # extraction and modification of starting point of measurement @@ -28,9 +28,9 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, start_min = starttime$min start_sec = starttime$sec - secshift = 60 - start_sec #shift in seconds needed + secshift = 60 - start_sec # shift in seconds needed if (secshift != 60) { - start_min = start_min + 1 #shift in minutes needed (+1 one to account for seconds comp) + start_min = start_min + 1 # shift in minutes needed (+1 one to account for seconds comp) } if (secshift == 60) secshift = 0 # if starttime is 00:00 then we do not want to remove data @@ -39,7 +39,7 @@ get_starttime_weekday_meantemp_truncdata = function(monc, dformat, data, minshift = 0 } - sampleshift = ((minshift)*60*sf) + (secshift*sf) #derive sample shift + sampleshift = (minshift * 60 * sf) + (secshift * sf) # derive sample shift sampleshift = floor(sampleshift) if (sampleshift > 1) { data = data[-c(1 : sampleshift),] # delete data accordingly diff --git a/man/get_starttime_weekday_meantemp_truncdata.Rd b/man/get_starttime_weekday_truncdata.Rd similarity index 91% rename from man/get_starttime_weekday_meantemp_truncdata.Rd rename to man/get_starttime_weekday_truncdata.Rd index 76bbdfa3a..ace81a195 100644 --- a/man/get_starttime_weekday_meantemp_truncdata.Rd +++ b/man/get_starttime_weekday_truncdata.Rd @@ -1,5 +1,5 @@ -\name{get_starttime_weekday_meantemp_truncdata } -\alias{get_starttime_weekday_meantemp_truncdata} +\name{get_starttime_weekday_truncdata } +\alias{get_starttime_weekday_truncdata} \title{ Get starttime (adjusted), weekday, and adjust data accordingly. } @@ -12,7 +12,7 @@ corresponding weekday. } \usage{ - get_starttime_weekday_meantemp_truncdata(monc, + get_starttime_weekday_truncdata(monc, dformat, data, P, header, desiredtz, sf, datafile, ws2, starttime, wday, wdayname, configtz = NULL) } From 29924717636d601c0ab057d5de5bbe3e57ff4478 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 28 Jan 2024 14:20:23 -0500 Subject: [PATCH 104/149] unused variable --- R/g.calibrate.R | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 64bf20892..da12992bd 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -24,9 +24,7 @@ g.calibrate = function(datafile, params_rawdata = c(), } use.temp = temp.available = TRUE - filename = unlist(strsplit(as.character(datafile),"/")) - filename = filename[length(filename)] - # set parameters + filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, filedoesnotholdday = FALSE, stringsAsFactors = TRUE) ws4 = params_general[["windowsizes"]][4] #epoch for recalibration From 133e59a9a81f5972e074c621c8925d4b25ec2d65 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 28 Jan 2024 15:33:33 -0500 Subject: [PATCH 105/149] simplify a little --- R/get_starttime_weekday_truncdata.R | 16 ++++++---------- 1 file changed, 6 insertions(+), 10 deletions(-) diff --git a/R/get_starttime_weekday_truncdata.R b/R/get_starttime_weekday_truncdata.R index 8fedfeba1..caf762b66 100644 --- a/R/get_starttime_weekday_truncdata.R +++ b/R/get_starttime_weekday_truncdata.R @@ -4,8 +4,8 @@ get_starttime_weekday_truncdata = function(monc, dformat, data, # ensures that first window starts at logical timepoint relative to its size # (15,30,45 or 60 minutes of each hour) start_meas = ws2/60 - # extraction and modification of starting point of measurement - starttime = g.getstarttime( + + starttime = g.getstarttime( # this will return a POSIXlt object datafile = datafile, P = P, mon = monc, @@ -24,17 +24,13 @@ get_starttime_weekday_truncdata = function(monc, dformat, data, wdayname = weekdays[wday] # assess how much data to delete till next 15 minute period - - start_min = starttime$min - start_sec = starttime$sec - - secshift = 60 - start_sec # shift in seconds needed + secshift = 60 - starttime$sec # shift in seconds needed if (secshift != 60) { - start_min = start_min + 1 # shift in minutes needed (+1 one to account for seconds comp) + starttime$min = starttime$min + 1 # shift in minutes needed (+1 one to account for seconds comp) } if (secshift == 60) secshift = 0 # if starttime is 00:00 then we do not want to remove data - minshift = start_meas - (start_min %% start_meas) + minshift = start_meas - (starttime$min %% start_meas) if (minshift == start_meas) { minshift = 0 } @@ -46,7 +42,7 @@ get_starttime_weekday_truncdata = function(monc, dformat, data, } # recalculate the timestamp - starttime$min = start_min + minshift # if the result is >= 60, hours (and possibly date) will adjust automatically + starttime$min = starttime$min + minshift # if the result is >= 60, hours (and possibly date) will adjust automatically starttime$sec = 0 invisible( From 0add1e4ca2e2861dd7793c70e23d7e6861b320b8 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 29 Jan 2024 14:27:33 -0500 Subject: [PATCH 106/149] no need to convert to matrix these are already matrices --- R/g.getmeta.R | 22 +++++++++------------- 1 file changed, 9 insertions(+), 13 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index c13f5f8f5..34ca016c5 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -328,9 +328,9 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), # rescale data data[, c("x", "y", "z")] = scale(data[, c("x", "y", "z")], center = -offset, scale = 1/scale) if (use.temp && length(meantempcal) > 0) { - yy = as.matrix(cbind(temperature, - temperature, - temperature)) + yy = cbind(temperature, + temperature, + temperature) data[, c("x", "y", "z")] = data[, c("x", "y", "z")] + scale(yy, center = rep(meantempcal,3), scale = 1/tempoffset) } @@ -552,13 +552,11 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), if (!filecorrupt && !filetooshort && !filedoesnotholdday) { cut = count:nrow(metashort) if (length(cut) > 1) { - tmp = metashort[-cut,] + metashort = metashort[-cut,] # for a very small file, there could be just one row in metashort[-cut,], so it gets coerced to a vector. # But what we actually need is a 1-row matrix. So we need to transpose it. - if(is.vector(tmp)) { - metashort = as.matrix(t(tmp)) - } else { - metashort = as.matrix(tmp) + if(is.vector(metashort)) { + metashort = as.matrix(t(metashort)) } } if (nrow(metashort) > 1) { @@ -570,13 +568,11 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } cut2 = count2:nrow(metalong) if (length(cut2) > 1) { - tmp = metalong[-cut2,] + metalong = metalong[-cut2,] # for a very small file, there could be just one row in metalong[-cut2,], so it gets coerced to a vector. # But what we actually need is a 1-row matrix. So we need to transpose it. - if(is.vector(tmp)) { - metalong = as.matrix(t(tmp)) - } else { - metalong = as.matrix(tmp) + if(is.vector(metalong)) { + metalong = as.matrix(t(metalong)) } } if (nrow(metalong) > 2) { From 19190b5b7921e31114e55f1e9156a07f8f598df6 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 29 Jan 2024 17:53:32 -0500 Subject: [PATCH 107/149] if endpage is read, endpage=startpage+blocksize-1 We used to read till endpage = startpage + blocksize, which means that we were reading blocksize+1 number of samples, not blocksize number of samples. --- R/g.readaccfile.R | 40 ++++++++++++++++-------------- tests/testthat/test_greadaccfile.R | 18 ++++++++------ 2 files changed, 32 insertions(+), 26 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 2dd682bd8..4e89d7cdb 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -41,34 +41,38 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } if (blocknumber < 1) blocknumber = 1 + # startpage should only be specified for blocknumber 1. # The next time (blocknumber > 1) the startpage will be derived from the previous # endpage and the blocksize. - if (blocknumber > 1 && length(PreviousEndPage) != 0) { - if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$GT3X || - (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN)) { - # for GENEActiv binary data, gt3x format data, and Movisens data, - # page selection is defined from start to end (including end) + + if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || dformat == FORMAT$GT3X || + (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN)) { + # for GENEActiv binary data, gt3x format data, and Movisens data, + # page selection is defined from start to end **including end** + if (blocknumber > 1 && length(PreviousEndPage) != 0) { startpage = PreviousEndPage + 1 } else { - # for other monitor brands and data formats - # page selection is defined from start to end (excluding end itself) - # so start page of one block equals the end page of previous block - startpage = PreviousEndPage + startpage = blocksize * (blocknumber - 1) + 1 # pages are numbered starting with page 1 } + endpage = startpage + blocksize - 1 # -1 because both startpage and endpage will be read, + # and we want to read blocksize # of samples } else { - startpage = blocksize * (blocknumber - 1) + # for other monitor brands and data formats + # page selection is defined from start to end **excluding end itself**, + # so start page of one block equals the end page of previous block + if (blocknumber > 1 && length(PreviousEndPage) != 0) { + startpage = PreviousEndPage + } else { + startpage = blocksize * (blocknumber - 1) # pages are numbered starting with page 0 - if ((mon == MONITOR$GENEACTIV && dformat == FORMAT$BIN) || - (mon == MONITOR$MOVISENS && dformat == FORMAT$BIN) || - dformat == FORMAT$GT3X) { - startpage = startpage + 1 # pages are numbered starting with page 1 - } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { - headerlength = 10 - startpage = startpage + headerlength + if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) { + headerlength = 10 + startpage = startpage + headerlength + } } + endpage = startpage + blocksize } - endpage = startpage + blocksize P = c() isLastBlock = FALSE diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index d3e3edc8d..55a23c1de 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -138,13 +138,16 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity EHV = g.extractheadervars(IGA) expect_equal(EHV$deviceSerialNumber,"012967") - GA_read = g.readaccfile(GAfile, blocksize = 2, blocknumber = 1, filequality = filequality, + GA_num_blocks = 2 + GA_read = g.readaccfile(GAfile, blocksize = GA_num_blocks, blocknumber = 1, filequality = filequality, dayborder = dayborder, ws = 3, desiredtz = desiredtz, PreviousEndPage = 1, inspectfileobject = IGA) # As of R 4.0, an extra header row is extracted, which affects the positioning of the values. # expect_equal(as.numeric(as.character(wav_read$P$header$hvalues[7])),17) - expect_equal(round(sum(GA_read$P$data[, 2:4]), digits = 2), -467.59) + expect_equal(round(sum(GA_read$P$data[, 2:4]), digits = 2), -271.97) + expect_equal(GA_read$endpage, GA_num_blocks) + # print(GA_read$P$header) # expect_equal(as.character(unlist(GA_read$P$header[3, 1])), "216 Hours") @@ -184,20 +187,19 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity dayborder = dayborder, ws = 3, PreviousEndPage = 1, inspectfileobject = Mcsv, params_rawdata = params_rawdata, params_general = params_general) - # for Movisens files, we'll read from startpage to endpage inclusive, so there will be blocksize+1 samples returned - expect_equal(nrow(movisens_read$P$data), movisens_blocksize+1) + expect_equal(nrow(movisens_read$P$data), movisens_blocksize) expect_false(movisens_read$filequality$filecorrupt) expect_false(movisens_read$filequality$filetooshort) - expect_equal(sum(movisens_read$P$data[c("x","y","z")]), 4385.29, tolerance = .01, scale = 1) - expect_equal(movisens_read$endpage, movisens_blocksize + 1) + expect_equal(sum(movisens_read$P$data[c("x","y","z")]), 4383.67, tolerance = .01, scale = 1) + expect_equal(movisens_read$endpage, movisens_blocksize) # read the next block (set PreviousEndPage to movisens_read$endpage) movisens_read2 = g.readaccfile(movisensFile, blocksize = movisens_blocksize, blocknumber = 2, filequality = filequality, dayborder = dayborder, ws = 3, PreviousEndPage = movisens_read$endpage, inspectfileobject = Mcsv, params_rawdata = params_rawdata, params_general = params_general) - expect_equal(nrow(movisens_read2$P$data), movisens_blocksize+1) - expect_equal(movisens_read2$endpage, movisens_blocksize * 2 + 2) + expect_equal(nrow(movisens_read2$P$data), movisens_blocksize) + expect_equal(movisens_read2$endpage, movisens_blocksize * 2) # if the 1st sample of 2nd block is identical to the last sample of the 1st block, # this means that we calculated the startpage of the 2nd block incorrectly. From bf6398a9239dc957f9dc2750e1122afff5738c61 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 29 Jan 2024 22:41:08 -0500 Subject: [PATCH 108/149] don't resample more temperature than will be used GGIRread::resample is very expensive, and we were resampling *all* of the temperature every time we needed to read a block of it. This edit makes g.readaccfile for movisens got 2x faster. --- R/g.readaccfile.R | 1 + R/g.readtemp_movisens.R | 27 +++++++++++++++++++-------- man/g.readtemp_movisens.Rd | 11 +++++++++-- 3 files changed, 29 insertions(+), 10 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 4e89d7cdb..868afa812 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -247,6 +247,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # there may or may not be a temp.bin file containing temperature try(expr = {P$data$temperature = g.readtemp_movisens(filename, from = startpage, to = endpage, + acc_sf = sf, acc_length = nrow(P$data), interpolationType = params_rawdata[["interpolationType"]]) }, silent = TRUE) } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { diff --git a/R/g.readtemp_movisens.R b/R/g.readtemp_movisens.R index c94108163..8dbb3165f 100644 --- a/R/g.readtemp_movisens.R +++ b/R/g.readtemp_movisens.R @@ -1,22 +1,33 @@ -g.readtemp_movisens = function(datafile, from = c(), to = c(), interpolationType=1) { +g.readtemp_movisens = function(datafile, from = c(), to = c(), acc_sf, acc_length, interpolationType=1) { # Acceleration data and temperature were sampled at different rates, # so we need to resample temperature to get the same sampling rate # as what we have for acceleration. - temperature = unisensR::readUnisensSignalEntry(dirname(datafile), "temp.bin") + temp_sf = 1 # temperature is most likely sampled at 1Hz, but we'll double-check later + + temp_from = ceiling(from / acc_sf * temp_sf) + temp_to = ceiling(to / acc_sf * temp_sf) + + temperature = unisensR::readUnisensSignalEntry(dirname(datafile), "temp.bin", + startIndex = temp_from, endIndex = temp_to) + new_temp_sf = attr(temperature, "sampleRate") + + # We had guessed that temperature was sampled at 1Hz. Let's check, and if we were wrong, then re-do. + if (temp_sf != new_temp_sf) { + temp_from = ceiling(from / acc_sf * new_temp_sf) + temp_to = ceiling(to / acc_sf * new_temp_sf) + + temperature = unisensR::readUnisensSignalEntry(dirname(datafile), "temp.bin", + startIndex = temp_from, endIndex = temp_to) + } + temperature = temperature$temp # we don't care about the exact timestamp values because we'll throw the timestamps away anyway. rawTime = seq_len(length(temperature)) - - acc_length = unisensR::getUnisensSignalSampleCount(dirname(datafile), "acc.bin") timeRes = seq(from = 1, to = rawTime[length(rawTime)], length.out = acc_length) temperature = GGIRread::resample(as.matrix(temperature), rawTime, timeRes, length(temperature), type=interpolationType) - if(length(from) > 0 && length(to) > 0) { - temperature = temperature[from:to] - } - invisible(temperature) } diff --git a/man/g.readtemp_movisens.Rd b/man/g.readtemp_movisens.Rd index 76b776ba3..27f0bec76 100644 --- a/man/g.readtemp_movisens.Rd +++ b/man/g.readtemp_movisens.Rd @@ -8,7 +8,8 @@ Reads the temperature from movisens files. it to the matrix where accelerations are stored } \usage{ -g.readtemp_movisens(datafile, from = c(), to = c(), interpolationType=1) +g.readtemp_movisens(datafile, from = c(), to = c(), acc_sf, acc_length, + interpolationType=1) } \arguments{ \item{datafile}{ @@ -24,6 +25,12 @@ g.readtemp_movisens(datafile, from = c(), to = c(), interpolationType=1) End point to derive the temperature from movisens files (automatically calculated by GGIR) } + \item{acc_sf}{ + Sample frequency of acceleration data + } + \item{acc_length}{ + number of acceleration data samples + } \item{interpolationType}{ Integer to indicate type of interpolation to be used when resampling time series (mainly relevant for Axivity sensors), 1=linear, 2=nearest neighbour. } @@ -34,6 +41,6 @@ g.readtemp_movisens(datafile, from = c(), to = c(), interpolationType=1) \keyword{internal} \examples{ \dontrun{ - P = g.readtemp_movisens(datafile, from = c(), to = c()) + P = g.readtemp_movisens(datafile, from = c(), to = c(), acc_sf = 64, acc_length = 3000) } } From 5c2300b5b32a2eab38fd16f9d317f387ac94af20 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 30 Jan 2024 10:46:29 -0500 Subject: [PATCH 109/149] don't expect factors; meta_temp already data.frame --- R/g.calibrate.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index da12992bd..d832d75ba 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -26,7 +26,7 @@ g.calibrate = function(datafile, params_rawdata = c(), use.temp = temp.available = TRUE filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, - filedoesnotholdday = FALSE, stringsAsFactors = TRUE) + filedoesnotholdday = FALSE, stringsAsFactors = FALSE) ws4 = params_general[["windowsizes"]][4] #epoch for recalibration ws2 = params_general[["windowsizes"]][2] #dummy variable ws = params_general[["windowsizes"]][3] # window size for assessing non-wear time (seconds) @@ -366,7 +366,7 @@ g.calibrate = function(datafile, params_rawdata = c(), } } if (all(dim(meta_temp)) != 0) { # change 2022-08-18 to handle when filetooshort = TRUE (7 columns, empty rows) - spheredata = data.frame(A = meta_temp, stringsAsFactors = TRUE) + spheredata = meta_temp if (use.temp == TRUE) { names(spheredata) = c("Euclidean Norm","meanx","meany","meanz","sdx","sdy","sdz","temperature") } else { From 3cd193ee70f253d1a9fff344c59a1423909be9e4 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 30 Jan 2024 13:17:57 -0500 Subject: [PATCH 110/149] minor cleanup --- R/g.calibrate.R | 15 +++++++-------- R/get_nw_clip_block_params.R | 19 ++----------------- 2 files changed, 9 insertions(+), 25 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index d832d75ba..10e853927 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -81,7 +81,6 @@ g.calibrate = function(datafile, params_rawdata = c(), isLastBlock = FALSE # dummy variable part of "end of loop mechanism" header = NULL while (LD > 1) { - P = c() if (verbose == TRUE) { if (i == 1) { cat(paste("\nLoading chunk: ",i,sep="")) @@ -97,12 +96,11 @@ g.calibrate = function(datafile, params_rawdata = c(), params_rawdata = params_rawdata, params_general = params_general, header = header) header = accread$header - P = accread$P isLastBlock = accread$isLastBlock PreviousEndPage = accread$endpage if (i == 1) { - use.temp = temp.available = ("temperature" %in% colnames(P$data)) + use.temp = temp.available = ("temperature" %in% colnames(accread$P$data)) if (use.temp) { meta = matrix(99999,NR,8) # for metadata } else { @@ -110,13 +108,14 @@ g.calibrate = function(datafile, params_rawdata = c(), } } - rm(accread); options(warn = 0) #turn on warnings #process data as read from binary file - if (length(P) > 0) { #would have been set to zero if file was corrupt or empty - data = P$data - rm(P) - #add left over data from last time + if (length(accread$P) > 0) { # would have been set to zero if file was corrupt or empty + data = accread$P$data + if (exists("accread")) { + rm(accread) + } + # add leftover data from last time if (min(dim(S)) > 1) { data = rbind(S,data) } diff --git a/R/get_nw_clip_block_params.R b/R/get_nw_clip_block_params.R index 952f4c713..92ea57907 100644 --- a/R/get_nw_clip_block_params.R +++ b/R/get_nw_clip_block_params.R @@ -33,37 +33,22 @@ get_nw_clip_block_params = function(chunksize, dynrange, monc, dformat, deviceSe if (length(dynrange) > 0) { clipthres = dynrange - 0.5 } else { + clipthres = 7.5 # hard-coded assumption that dynamic range is 8g if (monc == MONITOR$GENEA) { clipthres = 5.5 - } else if (monc == MONITOR$GENEACTIV) { - clipthres = 7.5 - } else if (monc == MONITOR$ACTIGRAPH) { - clipthres = 7.5 # hard coded assumption that dynamic range is 8g - } else if (monc == MONITOR$AXIVITY) { - clipthres = 7.5 # hard coded assumption that dynamic range is 8g } else if (monc == MONITOR$MOVISENS) { clipthres = 15.5 # hard coded assumption that dynamic range is 16g - } else if (monc == MONITOR$VERISENSE) { - clipthres = 7.5 } else if (monc == MONITOR$AD_HOC) { clipthres = rmc.dynamic_range } } # Nonwear threshold: non-wear criteria are monitor-specific racriter = 0.15 # very likely irrelevant parameters, but leave in for consistency + sdcriter = 0.013 if (monc == MONITOR$GENEA) { sdcriter = 0.003 racriter = 0.05 - } else if (monc == MONITOR$GENEACTIV) { - sdcriter = 0.013 - } else if (monc == MONITOR$ACTIGRAPH) { - sdcriter = 0.013 - } else if (monc == MONITOR$AXIVITY) { - sdcriter = 0.013 - } else if (monc == MONITOR$MOVISENS) { - sdcriter = 0.013 } else if (monc == MONITOR$VERISENSE) { - sdcriter = 0.013 racriter = 0.20 } else if (monc == MONITOR$AD_HOC) { if (length(rmc.noise) == 0) { From 96a0b49d52d17baa00b6e37d6da4148d4c9bb93c Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 30 Jan 2024 17:15:08 -0500 Subject: [PATCH 111/149] xyz columns aren't always 1:3 now --- R/applyExtFunction.R | 4 ++++ R/detect_nonwear_clipping.R | 19 ++++++++++--------- R/g.applymetrics.R | 4 +++- R/g.calibrate.R | 2 +- R/g.getmeta.R | 2 +- man/g.applymetrics.Rd | 1 + tests/testthat/test_detect_nonwear.R | 1 + 7 files changed, 21 insertions(+), 12 deletions(-) diff --git a/R/applyExtFunction.R b/R/applyExtFunction.R index c3ad195d0..e0e4b2175 100644 --- a/R/applyExtFunction.R +++ b/R/applyExtFunction.R @@ -1,4 +1,8 @@ applyExtFunction = function(data, myfun, sf, ws3,interpolationType=1) { + + # data should be a 3 column matrix with the x, y, and z acceleration + data = data[, c("x", "y", "z")] + # check myfun object check_myfun(myfun, windowsizes=ws3) # unit correction diff --git a/R/detect_nonwear_clipping.R b/R/detect_nonwear_clipping.R index 198a3355e..69b848f5c 100644 --- a/R/detect_nonwear_clipping.R +++ b/R/detect_nonwear_clipping.R @@ -45,18 +45,19 @@ detect_nonwear_clipping = function(data = c(), windowsizes = c(5, 900, 3600), sf } } # --- - if (length(params_rawdata[["rmc.col.wear"]]) > 0) { - wearcol = as.character(data[, which(colnames(data) == "wear")]) + if ("wear" %in% colnames(data)) { + wearcol = as.character(data[, "wear"]) suppressWarnings(storage.mode(wearcol) <- "logical") wearTable = table(wearcol[(1 + hoc1):hoc2], useNA = FALSE) NWav[h] = as.logical(tail(names(sort(wearTable)), 1)) * 3 # times 3 to simulate heuristic approach } - for (jj in 1:3) { + xyzCol = which(colnames(data) %in% c("x", "y", "z")) + for (jj in seq(3)) { # Clipping - aboveThreshold = which(abs(data[(1 + cliphoc1):cliphoc2, jj]) > clipthres) + aboveThreshold = which(abs(data[(1 + cliphoc1):cliphoc2, xyzCol[jj]]) > clipthres) CW[h, jj] = length(aboveThreshold) if (length(aboveThreshold) > 0) { - if (length(which(abs(data[c((1 + cliphoc1):cliphoc2)[aboveThreshold],jj]) > clipthres * 1.5)) > 0) { + if (length(which(abs(data[c((1 + cliphoc1):cliphoc2)[aboveThreshold], xyzCol[jj]]) > clipthres * 1.5)) > 0) { CW[h, jj] = window2 # If there is a a value that is more than 150% the dynamic range then ignore entire block. } } @@ -68,18 +69,18 @@ detect_nonwear_clipping = function(data = c(), windowsizes = c(5, 900, 3600), sf } else if (nonwear_approach == "2023") { indices = seq((1 + hoc1), hoc2, by = ceiling(sf / 5)) } - maxwacc = max(data[indices, jj], na.rm = TRUE) - minwacc = min(data[indices, jj], na.rm = TRUE) + maxwacc = max(data[indices, xyzCol[jj]], na.rm = TRUE) + minwacc = min(data[indices, xyzCol[jj]], na.rm = TRUE) absrange = abs(maxwacc - minwacc) if (absrange < racriter) { - sdwacc = sd(data[indices,jj], na.rm = TRUE) + sdwacc = sd(data[indices, xyzCol[jj]], na.rm = TRUE) if (sdwacc < sdcriter) { NW[NWflag,jj] = 1 } } } CW = CW / (window2) - if (length(params_rawdata[["rmc.col.wear"]]) == 0) { + if (!("wear" %in% colnames(data))) { NWav[h] = (NW[h,1] + NW[h,2] + NW[h,3]) #indicator of non-wear } CWav[h] = max(c(CW[h, 1], CW[h, 2], CW[h, 3])) #indicator of clipping diff --git a/R/g.applymetrics.R b/R/g.applymetrics.R index 14db22917..9af3a17f3 100644 --- a/R/g.applymetrics.R +++ b/R/g.applymetrics.R @@ -3,8 +3,10 @@ g.applymetrics = function(data, sf, ws3, metrics2do, zc.lb = 0.25, zc.hb = 3, zc.sb = 0.01, zc.order = 2, actilife_LFE = FALSE){ + # data should be a 3 column matrix with the x, y, and z acceleration + data = data[, c("x", "y", "z")] + epochsize = ws3 #epochsize in seconds - # data is a 3 column matrix with the x, y, and z acceleration do.bfen = metrics2do$do.bfen do.enmo = metrics2do$do.enmo do.lfenmo = metrics2do$do.lfenmo diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 10e853927..afea28195 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -121,7 +121,7 @@ g.calibrate = function(datafile, params_rawdata = c(), } # remove 0s if ActiGraph csv (idle sleep mode) OR if similar imputation done in ad-hoc csv # current ActiGraph csv's are not with zeros but with last observation carried forward - zeros = which(data[,1] == 0 & data[,2] == 0 & data[,3] == 0) + zeros = which(data$x == 0 & data$y == 0 & data$z == 0) if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || length(zeros) > 0) { data = g.imputeTimegaps(x = data, sf = sf, impute = FALSE) data = data$x diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 34ca016c5..200ab90c1 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -334,7 +334,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), data[, c("x", "y", "z")] = data[, c("x", "y", "z")] + scale(yy, center = rep(meantempcal,3), scale = 1/tempoffset) } - EN = sqrt(data[,1]^2 + data[,2]^2 + data[,3]^2) # Do not delete Used for long epoch calculation + EN = sqrt(data[, "x"]^2 + data[, "y"]^2 + data[, "z"]^2) # Do not delete Used for long epoch calculation accmetrics = g.applymetrics(data = data, sf = sf, ws3 = ws3, metrics2do = metrics2do, diff --git a/man/g.applymetrics.Rd b/man/g.applymetrics.Rd index 0bd4a58cf..e98be9889 100644 --- a/man/g.applymetrics.Rd +++ b/man/g.applymetrics.Rd @@ -64,6 +64,7 @@ Gy = runif(n=10000,min=1,max=3) Gz = runif(n=10000,min=0,max=2) data = cbind(Gx, Gy, Gz) + colnames(data) = c("x", "y", "z") metrics2do = data.frame(do.bfen=TRUE,do.enmo=TRUE,do.lfenmo=FALSE, do.en=FALSE,do.hfen=FALSE,do.hfenplus=FALSE,do.mad=FALSE,do.anglex=FALSE, do.angley=FALSE,do.anglez=FALSE,do.roll_med_acc_x=FALSE, diff --git a/tests/testthat/test_detect_nonwear.R b/tests/testthat/test_detect_nonwear.R index f6dd93c4f..f87d13d05 100644 --- a/tests/testthat/test_detect_nonwear.R +++ b/tests/testthat/test_detect_nonwear.R @@ -11,6 +11,7 @@ test_that("detects non wear time", { create_test_acc_csv(Nmin = Ndays * 1440, sf = sf) data = as.matrix(read.csv("123A_testaccfile.csv", skip = 10)) + colnames(data) = c("x", "y", "z") # 2013 algorithm ------ # clipthres to 1.7 to test the clipping detection From bea96a1d2fc08cc0e3f886e6c1bb1c33d96d766a Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 31 Jan 2024 02:11:27 -0500 Subject: [PATCH 112/149] Addressing "as.POSIXlt.numeric 'origin' must be supplied" error on Ubuntu oldrel --- R/g.inspectfile.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.inspectfile.R b/R/g.inspectfile.R index 27775f1a6..db6332ce7 100644 --- a/R/g.inspectfile.R +++ b/R/g.inspectfile.R @@ -140,7 +140,7 @@ g.inspectfile = function(datafile, desiredtz = "", params_rawdata = c(), } else if (mon == MONITOR$AXIVITY) { # sample frequency is not stored tmp = read.csv(datafile, nrow = 100000, skip = 0) - tmp = as.numeric(as.POSIXlt(tmp[, 1])) + tmp = as.numeric(as.POSIXct(tmp[, 1], origin = "1970-01-01")) sf = length(tmp) / (tmp[length(tmp)] - tmp[1]) sf = floor((sf) / 5 ) * 5 # round down to nearest integer of 5, we never want to assume that there is more frequency content in a signal than there truly is } From 7a74d2c74f8dddd9b6b9ddecad851f92d7e78ca1 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 31 Jan 2024 09:31:43 -0500 Subject: [PATCH 113/149] Addressing "as.POSIXlt.numeric 'origin' must be supplied" error on Ubuntu oldrel --- R/g.readaccfile.R | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 868afa812..d0dface4c 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -216,8 +216,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # So we need to convert the Unix timestamp into a hh:mm:ss format, then force that timestamp # from UTC into configtz timzone. if (configtz != "" || is.numeric(rawTime)) { - rawTime = as.POSIXlt(rawTime, tz="UTC") - rawTime = as.POSIXct(rawTime, tz=configtz) + rawTime = as.POSIXlt(rawTime, tz="UTC", origin = "1970-01-01") + rawTime = as.POSIXct(rawTime, tz=configtz, origin = "1970-01-01") } rawTime = as.numeric(rawTime) @@ -266,11 +266,11 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # (Converting to POSIXlt then back to POSIXct with the correct timezone # seems to work fine as an equivalent of lubridate::force_tz(). # as.POSIXlt() used to be slow but seems reasonably fast these days). - P$data$time = as.POSIXlt(P$data$time) - P$data$time = as.POSIXct(P$data$time, tz=configtz) + P$data$time = as.POSIXlt(P$data$time, origin = "1970-01-01") + P$data$time = as.POSIXct(P$data$time, tz=configtz, origin = "1970-01-01") if (configtz != desiredtz) { - P$data$time = as.POSIXct(P$data$time, tz=desiredtz) + P$data$time = as.POSIXct(P$data$time, tz=desiredtz, origin = "1970-01-01") } } } else if (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV) { # user-specified csv format From f1ae56cabc00d52921a8290351f92bcdf1395537 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 31 Jan 2024 21:53:29 -0500 Subject: [PATCH 114/149] suppress download status message (it got printed in red, making it look like something is wrong) --- tests/testthat/test_greadaccfile.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 55a23c1de..ce4a4181b 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -166,7 +166,7 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity if (!file.exists(zip_file)) { # link to a tagged release of Unisens/unisensR github repo movisens_url = "https://github.com/Unisens/unisensR/archive/refs/tags/0.3.4.zip" - download.file(url = movisens_url, destfile = zip_file) + download.file(url = movisens_url, destfile = zip_file, quiet = TRUE) } movisens_dir = "unisensR-0.3.4" From ff566bc03d989fb7386655275ead0f380c74786e Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 1 Feb 2024 15:51:34 -0500 Subject: [PATCH 115/149] don't do expensive operation if not needed For Actigraph csv we'll do imputation either way, so no need to waste time on the expensive search for zeros. --- R/g.calibrate.R | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index afea28195..ce5b74a49 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -121,7 +121,10 @@ g.calibrate = function(datafile, params_rawdata = c(), } # remove 0s if ActiGraph csv (idle sleep mode) OR if similar imputation done in ad-hoc csv # current ActiGraph csv's are not with zeros but with last observation carried forward - zeros = which(data$x == 0 & data$y == 0 & data$z == 0) + zeros = c() + if (!(mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV)) { + zeros = which(data$x == 0 & data$y == 0 & data$z == 0) + } if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || length(zeros) > 0) { data = g.imputeTimegaps(x = data, sf = sf, impute = FALSE) data = data$x From c48200019fb3cece6c3e6f35e0dcf0fd5e2ddccc Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 1 Feb 2024 17:50:31 -0500 Subject: [PATCH 116/149] don't set colnames on an empty list --- R/g.readaccfile.R | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index d0dface4c..82bb1aa1b 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -119,11 +119,12 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if (length(P$data) > 0) { if (ncol(P$data) < 3) { P$data = c() + } else { + if (ncol(P$data) > 3) { + P$data = P$data[, 2:4] # remove timestamp column, keep only XYZ columns + } + colnames(P$data) = c("x", "y", "z") } - if (ncol(P$data) > 3) { - P$data = P$data[, 2:4] # remove timestamp column, keep only XYZ columns - } - colnames(P$data) = c("x", "y", "z") } } else if (mon == MONITOR$AXIVITY && dformat == FORMAT$CWA) { if (utils::packageVersion("GGIRread") < "0.3.0") { From 09bc02651099ea35ea2f333d71a9a28eee00468e Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 1 Feb 2024 22:26:22 -0500 Subject: [PATCH 117/149] no need to convert to numeric first --- R/read.myacc.csv.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 68409852b..77a4575e9 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -265,7 +265,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", } } if (!(rmc.unit.time %in% c("UNIXsec", "ActivPAL")) && (configtz != desiredtz)) { - P$time = as.POSIXct(as.numeric(P$time), tz = desiredtz, origin = "1970-01-01") + P$time = as.POSIXct(P$time, tz = desiredtz, origin = "1970-01-01") } # If acceleration is stored in mg units then convert to gravitational units From 87d34c80183d91b3d2793527297ebd8a58d43c3b Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 2 Feb 2024 10:27:41 -0500 Subject: [PATCH 118/149] minor edit --- R/get_starttime_weekday_truncdata.R | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/R/get_starttime_weekday_truncdata.R b/R/get_starttime_weekday_truncdata.R index caf762b66..cd978ea24 100644 --- a/R/get_starttime_weekday_truncdata.R +++ b/R/get_starttime_weekday_truncdata.R @@ -25,10 +25,11 @@ get_starttime_weekday_truncdata = function(monc, dformat, data, # assess how much data to delete till next 15 minute period secshift = 60 - starttime$sec # shift in seconds needed - if (secshift != 60) { + if (secshift == 60) { + secshift = 0 # if starttime is 00:00 then we do not want to remove data + } else { starttime$min = starttime$min + 1 # shift in minutes needed (+1 one to account for seconds comp) } - if (secshift == 60) secshift = 0 # if starttime is 00:00 then we do not want to remove data minshift = start_meas - (starttime$min %% start_meas) if (minshift == start_meas) { From 42ef1470a7064c7db0f3fe6b1e2be0496bcc92a0 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 2 Feb 2024 21:26:28 -0500 Subject: [PATCH 119/149] Allocate metalong light vars even if no temperature Allocate metalong light variables if needed, even if temperature is not available. For currently supported monitors this will only come up if temperature is not used because it's unrealistically high. Also remove warning suppression. It came from an older version of code and it's not clear that the warning it was meant to suppress is still relevant. --- R/g.getmeta.R | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 200ab90c1..5ff12573b 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -173,8 +173,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } } - options(warn = -1) #turn off warnings (code complains about unequal rowlengths - accread = g.readaccfile(filename = datafile, blocksize = blocksize, blocknumber = i, filequality = filequality, ws = ws, PreviousEndPage = PreviousEndPage, @@ -184,6 +182,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), params_rawdata = params_rawdata, params_general = params_general, header = header) header = accread$header + if ("PreviousLastValue" %in% names(accread$P)) { # output when reading ad-hoc csv PreviousLastValue = accread$P$PreviousLastValue PreviousLastTime = accread$P$PreviousLastTime @@ -196,21 +195,24 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), use.temp = ("temperature" %in% colnames(P$data)) if (use.temp) { if (mean(P$data$temperature[1:10], na.rm = TRUE) > 50) { - warning("temperature value is unreaslistically high (> 50 Celcius)", call. = FALSE) + warning("temperature value is unreaslistically high (> 50 Celcius) and will not be used.", call. = FALSE) use.temp = FALSE } } # output matrix for 15 minutes summaries - if (!use.temp) { + if (!use.temp && !light.available) { metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) metricnames_long = c("timestamp","nonwearscore","clippingscore","EN") - } else if (light.available) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) - metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") - } else { + } else if (use.temp && !light.available) { metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") + } else if (!use.temp && light.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 6) + metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","EN") + } else if (use.temp && light.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) + metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") } } @@ -223,7 +225,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), PreviousEndPage = accread$endpage rm(accread); gc() - options(warn = 0) #turn on warnings #============ #process data as read from binary file if (length(P) > 0) { #would have been set to zero if file was corrupt or empty From 88f3905a90dc811f104c0472693b0393cf352ca2 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sat, 3 Feb 2024 21:52:33 -0500 Subject: [PATCH 120/149] don't assign colnames if insufficient data read --- R/g.readaccfile.R | 20 +++++++++++++------- 1 file changed, 13 insertions(+), 7 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 82bb1aa1b..7441cd6f9 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -244,13 +244,19 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, P$data = unisensR::readUnisensSignalEntry(dirname(filename), "acc.bin", startIndex = startpage, endIndex = endpage) - colnames(P$data) = c("x", "y", "z") - # there may or may not be a temp.bin file containing temperature - try(expr = {P$data$temperature = g.readtemp_movisens(filename, - from = startpage, to = endpage, - acc_sf = sf, acc_length = nrow(P$data), - interpolationType = params_rawdata[["interpolationType"]]) - }, silent = TRUE) + if (length(P$data) > 0) { + if (ncol(P$data) < 3) { + P$data = c() + } else { + colnames(P$data) = c("x", "y", "z") + # there may or may not be a temp.bin file containing temperature + try(expr = {P$data$temperature = g.readtemp_movisens(filename, + from = startpage, to = endpage, + acc_sf = sf, acc_length = nrow(P$data), + interpolationType = params_rawdata[["interpolationType"]]) + }, silent = TRUE) + } + } } else if (mon == MONITOR$ACTIGRAPH && dformat == FORMAT$GT3X) { P$data = try(expr = {read.gt3x::read.gt3x(path = filename, batch_begin = startpage, batch_end = endpage, asDataFrame = TRUE)}, silent = TRUE) From b8b4d3768f603b2f7f632fa75ecff0b20d5f2c05 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 4 Feb 2024 22:41:02 -0500 Subject: [PATCH 121/149] rbind *super* expensive on data.frames; use matrix This made g.calibrate ~25% faster for those formats (cwa, bin) that used to use data.frame here. Some formats (like gt3x, movisens, csv) were already using a matrix in the original code before this PR. --- R/g.calibrate.R | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index ce5b74a49..6fa6ab556 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -111,7 +111,7 @@ g.calibrate = function(datafile, params_rawdata = c(), options(warn = 0) #turn on warnings #process data as read from binary file if (length(accread$P) > 0) { # would have been set to zero if file was corrupt or empty - data = accread$P$data + data = as.matrix(accread$P$data[,which(colnames(accread$P$data) %in% c("x", "y", "z", "time", "temperature"))]) # convert to matrix b/c rbind is much faster on matrices if (exists("accread")) { rm(accread) } @@ -123,11 +123,11 @@ g.calibrate = function(datafile, params_rawdata = c(), # current ActiGraph csv's are not with zeros but with last observation carried forward zeros = c() if (!(mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV)) { - zeros = which(data$x == 0 & data$y == 0 & data$z == 0) + zeros = which(data[, "x"] == 0 & data[, "y"] == 0 & data[, "z"] == 0) } if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || length(zeros) > 0) { - data = g.imputeTimegaps(x = data, sf = sf, impute = FALSE) - data = data$x + data = g.imputeTimegaps(x = as.data.frame(data), sf = sf, impute = FALSE) + data = as.matrix(data$x) } LD = nrow(data) #store data that could not be used for this block, but will be added to next block @@ -140,15 +140,15 @@ g.calibrate = function(datafile, params_rawdata = c(), data = data[1:use,] LD = nrow(data) #redefine LD because there is less data - Gx = data$x - Gy = data$y - Gz = data$z + Gx = data[, "x"] + Gy = data[, "y"] + Gz = data[, "z"] if(use.temp) { - if (mean(data$temperature[1:10], na.rm = TRUE) > 120) { + if (mean(data[1:10, "temperature"], na.rm = TRUE) > 120) { warning("\ntemperature ignored for auto-calibration because values are too high\n") use.temp = FALSE - } else if (sd(data$temperature, na.rm = TRUE) < 0.01) { + } else if (sd(data[, "temperature"], na.rm = TRUE) < 0.01) { warning("\ntemperature ignored for auto-calibration because no variance in values\n") use.temp = FALSE } @@ -164,7 +164,7 @@ g.calibrate = function(datafile, params_rawdata = c(), D1 = g.downsample(Gy,sf,ws4,ws2); GyM2 = D1$var2 D1 = g.downsample(Gz,sf,ws4,ws2); GzM2 = D1$var2 if (use.temp == TRUE) { - D1 = g.downsample(data$temperature,sf,ws4,ws2); + D1 = g.downsample(data[, "temperature"],sf,ws4,ws2); TemperatureM2 = D1$var2 } #sd acceleration From 42d4aff47e24de596c6959d2c91463f5c180b3a3 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 5 Feb 2024 20:12:41 -0500 Subject: [PATCH 122/149] convert time and wear to numeric So that they could be combined with the other numeric columns into a numeric matrix, which allows some computations to go faster than happen for data.frame --- R/g.readaccfile.R | 21 +++++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 7441cd6f9..b03b780b5 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -275,10 +275,6 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # as.POSIXlt() used to be slow but seems reasonably fast these days). P$data$time = as.POSIXlt(P$data$time, origin = "1970-01-01") P$data$time = as.POSIXct(P$data$time, tz=configtz, origin = "1970-01-01") - - if (configtz != desiredtz) { - P$data$time = as.POSIXct(P$data$time, tz=desiredtz, origin = "1970-01-01") - } } } else if (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV) { # user-specified csv format # skip 1 more row only if rmc.firstrow.acc points at a row containing column names. @@ -362,6 +358,23 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, } } + # the wear column should be logical, but we will coerse it to numeric right away, + # so that later it could be combined with the other numeric columns into a numeric matrix + + if ("wear" %in% colnames(P$data)) { + if (!is.logical(P$data$wear)) { + stop("Corrupt file. The wear column should contail TRUE/FALSE values.") + } + P$data$wear = as.numeric(P$data$wear) + } + + # the time column at this point will be either Unix timestamps or POSIXct objects. + # If POSIXct, we'll convert them to Unix timestamps, so that later this column + # could be combined with the other numeric columns into a numeric matrix + if (("time" %in% colnames(P$data)) && !is.numeric(P$data$time)) { + P$data$time = as.numeric(P$data$time) + } + invisible(list(P = P, filequality = filequality, isLastBlock = isLastBlock, From 0eeaf6dfb478f9cda1ef4444117a0572518743ab Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 5 Feb 2024 20:13:52 -0500 Subject: [PATCH 123/149] fix useNA parameter for table() --- R/detect_nonwear_clipping.R | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/R/detect_nonwear_clipping.R b/R/detect_nonwear_clipping.R index 69b848f5c..65b0fa7c1 100644 --- a/R/detect_nonwear_clipping.R +++ b/R/detect_nonwear_clipping.R @@ -46,9 +46,8 @@ detect_nonwear_clipping = function(data = c(), windowsizes = c(5, 900, 3600), sf } # --- if ("wear" %in% colnames(data)) { - wearcol = as.character(data[, "wear"]) - suppressWarnings(storage.mode(wearcol) <- "logical") - wearTable = table(wearcol[(1 + hoc1):hoc2], useNA = FALSE) + wearcol = as.logical(data[, "wear"]) + wearTable = table(wearcol[(1 + hoc1):hoc2], useNA = "no") NWav[h] = as.logical(tail(names(sort(wearTable)), 1)) * 3 # times 3 to simulate heuristic approach } xyzCol = which(colnames(data) %in% c("x", "y", "z")) From 04f6c53593da3cf2e441924e3f083a92375d6e03 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 5 Feb 2024 23:24:42 -0500 Subject: [PATCH 124/149] add test for processing of wear column --- tests/testthat/test_detect_nonwear.R | 47 ++++++++++++++++++++++++++++ 1 file changed, 47 insertions(+) diff --git a/tests/testthat/test_detect_nonwear.R b/tests/testthat/test_detect_nonwear.R index f87d13d05..30015feb9 100644 --- a/tests/testthat/test_detect_nonwear.R +++ b/tests/testthat/test_detect_nonwear.R @@ -41,3 +41,50 @@ test_that("detects non wear time", { # remove generated file ------ if (file.exists("123A_testaccfile.csv")) file.remove("123A_testaccfile.csv") }) + +test_that("the wear column is processed correctly", { + skip_on_cran() + + N = 3000 + sf = 10 + + op = options(digits.secs = 4) + on.exit(options(op)) + + timeseq = ((0:(N - 1))/sf) + + set.seed(100) + accx = rnorm(N) + set.seed(200) + accy = rnorm(N) + set.seed(300) + accz = rnorm(N) + wear = c(rep(TRUE,N/3),rep(FALSE,N/4),rep(TRUE,N/3),rep(FALSE,N/12)) + + # create a csv file with a wear channel + S = data.frame(x = accx, y = accy, z = accz, time = timeseq, wear = wear, stringsAsFactors = TRUE) + testfile = "testcsv.csv" + write.csv(S, file = testfile, row.names = FALSE) + on.exit({if (file.exists(testfile)) file.remove(testfile)}, add = TRUE) + + + I_obj = g.inspectfile(testfile, + rmc.dec = ".", + rmc.firstrow.acc = 1, rmc.firstrow.header = c(), rmc.unit.time = "UNIXsec", + rmc.col.acc = 1:3, rmc.col.temp = c(), rmc.col.time = 4, + rmc.sf = sf, desiredtz = "", + rmc.col.wear = 5) + + filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, + filedoesnotholdday = FALSE, NFilePagesSkipped = 0) + + M_obj = g.getmeta(datafile = testfile, desiredtz = "", windowsizes = c(1,60,100), + inspectfileobject = I_obj, + rmc.dec = ".", + rmc.firstrow.acc = 1, rmc.firstrow.header = c(), rmc.unit.time = "UNIXsec", + rmc.col.acc = 1:3, rmc.col.temp = c(), rmc.col.time = 4, + rmc.sf = sf, desiredtz = "", + rmc.col.wear = 5) + + expect_equal(M_obj$metalong$nonwearscore, c(3,0,0,3,3)) +}) From 8695c06febf33280d5348138c75d70e6acbbcd04 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 6 Feb 2024 00:21:59 -0500 Subject: [PATCH 125/149] remove unused test file ax3test.wav --- inst/testfiles/ax3test.wav | Bin 262144 -> 0 bytes tests/testthat/test_greadaccfile.R | 4 ++-- 2 files changed, 2 insertions(+), 2 deletions(-) delete mode 100755 inst/testfiles/ax3test.wav diff 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z;?*z3uGF7r&A)S*_OJG_HqY(*19{H>el@rycwdm7Ab!3d{>m8lp9k_A^Y$P3mC@h7 T=kD|J(K@{G;qEd1bHV=)F4HiK diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index ce4a4181b..61d44e2f9 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -298,6 +298,6 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity #also test one small other function: datadir = system.file("testfiles", package = "GGIR")[1] fnames = datadir2fnames(datadir = datadir, filelist = FALSE) - expect_equal(length(fnames$fnames), 8) - expect_equal(length(fnames$fnamesfull), 8) + expect_equal(length(fnames$fnames), 7) + expect_equal(length(fnames$fnamesfull), 7) }) From e8918fa830fc5e419ba8dc4fdf423ef467ef65a7 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 6 Feb 2024 01:02:29 -0500 Subject: [PATCH 126/149] shorten Axivity csv test files to the smallest length for which g.readaccfile() won't return filetooshort at this sample rate (95) --- .../ax3_testfile_unix_timestamps.csv | 17191 +--------------- .../ax6_testfile_formatted_timestamps.csv | 11112 +--------- tests/testthat/test_greadaccfile.R | 8 +- 3 files changed, 6 insertions(+), 28305 deletions(-) diff --git a/inst/testfiles/ax3_testfile_unix_timestamps.csv b/inst/testfiles/ax3_testfile_unix_timestamps.csv index 6c7311771..ec79b182b 100644 --- a/inst/testfiles/ax3_testfile_unix_timestamps.csv +++ b/inst/testfiles/ax3_testfile_unix_timestamps.csv @@ -207,17193 +207,4 @@ 1551178508.0773,0.890625,-0.343750,-0.515625 1551178508.0873,0.890625,-0.375000,-0.500000 1551178508.0974,0.875000,-0.406250,-0.484375 -1551178508.1075,0.812500,-0.390625,-0.453125 -1551178508.1176,0.781250,-0.375000,-0.406250 -1551178508.1277,0.781250,-0.390625,-0.375000 -1551178508.1378,0.828125,-0.421875,-0.328125 -1551178508.1478,0.859375,-0.453125,-0.296875 -1551178508.1579,0.890625,-0.453125,-0.296875 -1551178508.1680,0.890625,-0.437500,-0.296875 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21:04:09.619,-0.010254,0.082031,0.006348,0.312805,-0.518799,15.762328 -2019-12-23 21:04:09.630,0.002441,0.073242,0.008301,0.320435,-0.518799,15.785216 -2019-12-23 21:04:09.640,0.007324,0.072266,0.006348,0.305176,-0.541687,15.785216 -2019-12-23 21:04:09.649,-0.001953,0.076172,0.007813,0.289917,-0.526428,15.754699 -2019-12-23 21:04:09.659,-0.003906,0.073242,0.009766,0.328064,-0.526428,15.739440 -2019-12-23 21:04:09.670,-0.008301,0.067383,0.007324,0.297546,-0.534058,15.792846 -2019-12-23 21:04:09.680,-0.005371,0.067871,0.006348,0.297546,-0.549316,15.769958 -2019-12-23 21:04:09.690,-0.007324,0.068359,0.006836,0.289917,-0.518799,15.762328 -2019-12-23 21:04:09.699,-0.010742,0.060547,0.004883,0.297546,-0.534058,15.777587 -2019-12-23 21:04:09.710,-0.001465,0.062500,0.005859,0.289917,-0.556946,15.792846 -2019-12-23 21:04:09.720,0.007324,0.064941,0.003418,0.328064,-0.511169,15.769958 -2019-12-23 21:04:09.729,0.006836,0.072754,0.011230,0.350952,-0.511169,15.754699 -2019-12-23 21:04:09.739,0.009277,0.080078,0.009766,0.297546,-0.526428,15.754699 -2019-12-23 21:04:09.750,-0.000488,0.076172,0.006348,0.305176,-0.503540,15.808105 -2019-12-23 21:04:09.760,-0.001465,0.073242,0.007813,0.312805,-0.518799,15.808105 -2019-12-23 21:04:09.770,-0.002441,0.065918,0.012207,0.312805,-0.503540,15.777587 -2019-12-23 21:04:09.779,-0.012207,0.072754,0.006348,0.335693,-0.480652,15.823363 -2019-12-23 21:04:09.789,-0.016602,0.073730,0.005371,0.320435,-0.518799,15.785216 -2019-12-23 21:04:09.800,-0.008789,0.070801,0.003906,0.289917,-0.518799,15.762328 -2019-12-23 21:04:09.809,-0.006348,0.078613,0.007813,0.328064,-0.534058,15.747069 -2019-12-23 21:04:09.819,0.004883,0.073242,0.008789,0.305176,-0.526428,15.739440 -2019-12-23 21:04:09.829,0.003906,0.067871,0.009277,0.343323,-0.488281,15.747069 -2019-12-23 21:04:09.840,-0.003906,0.070801,0.007813,0.343323,-0.488281,15.777587 -2019-12-23 21:04:09.850,-0.010254,0.066406,0.011719,0.282288,-0.526428,15.785216 -2019-12-23 21:04:09.860,-0.007813,0.069336,0.004395,0.274658,-0.556946,15.747069 -2019-12-23 21:04:09.869,-0.001953,0.068359,0.001465,0.305176,-0.503540,15.747069 -2019-12-23 21:04:09.880,-0.001953,0.064941,0.006836,0.328064,-0.518799,15.731811 -2019-12-23 21:04:09.890,-0.001465,0.069336,0.010254,0.289917,-0.526428,15.754699 -2019-12-23 21:04:09.899,-0.000488,0.078613,0.005859,0.320435,-0.534058,15.808105 -2019-12-23 21:04:09.909,-0.004883,0.075195,0.005859,0.297546,-0.518799,15.792846 -2019-12-23 21:04:09.920,0.001465,0.069824,0.008301,0.289917,-0.511169,15.769958 -2019-12-23 21:04:09.930,-0.012695,0.071289,0.011719,0.305176,-0.534058,15.762328 -2019-12-23 21:04:09.940,-0.012207,0.069824,0.009277,0.267029,-0.526428,15.792846 -2019-12-23 21:04:09.950,-0.004395,0.071289,0.008301,0.274658,-0.526428,15.815734 -2019-12-23 21:04:09.961,-0.003418,0.069336,0.009277,0.297546,-0.518799,15.777587 -2019-12-23 21:04:09.971,-0.004883,0.068359,0.011230,0.312805,-0.541687,15.792846 -2019-12-23 21:04:09.981,0.005859,0.065918,0.012695,0.328064,-0.526428,15.815734 -2019-12-23 21:04:09.991,0.009277,0.063965,0.008789,0.328064,-0.526428,15.762328 -2019-12-23 21:04:10.001,0.018555,0.064941,0.004395,0.297546,-0.526428,15.762328 -2019-12-23 21:04:10.012,0.010742,0.061523,0.006836,0.289917,-0.526428,15.830993 -2019-12-23 21:04:10.022,0.004395,0.058594,0.011230,0.297546,-0.495911,15.815734 -2019-12-23 21:04:10.032,0.001953,0.063477,0.011230,0.312805,-0.511169,15.785216 -2019-12-23 21:04:10.043,0.009277,0.064453,0.006348,0.305176,-0.541687,15.777587 -2019-12-23 21:04:10.053,0.005371,0.066406,0.001953,0.320435,-0.518799,15.792846 -2019-12-23 21:04:10.063,-0.003418,0.062012,0.005371,0.297546,-0.518799,15.769958 -2019-12-23 21:04:10.073,-0.000977,0.067383,0.014648,0.297546,-0.534058,15.792846 -2019-12-23 21:04:10.083,-0.004883,0.073730,0.014648,0.335693,-0.526428,15.792846 -2019-12-23 21:04:10.094,0.000977,0.076172,0.006348,0.312805,-0.541687,15.785216 -2019-12-23 21:04:10.104,0.007324,0.071289,0.006348,0.343323,-0.534058,15.747069 -2019-12-23 21:04:10.114,0.012207,0.075684,0.004883,0.335693,-0.541687,15.777587 -2019-12-23 21:04:10.125,0.002930,0.080566,0.006836,0.297546,-0.526428,15.777587 -2019-12-23 21:04:10.135,-0.002930,0.079590,0.009766,0.289917,-0.526428,15.823363 -2019-12-23 21:04:10.145,-0.007813,0.079102,0.003906,0.305176,-0.534058,15.800475 -2019-12-23 21:04:10.155,-0.012695,0.072266,0.007813,0.312805,-0.495911,15.747069 -2019-12-23 21:04:10.166,-0.015137,0.067871,0.010254,0.305176,-0.534058,15.800475 -2019-12-23 21:04:10.176,-0.011719,0.069824,0.005371,0.320435,-0.511169,15.777587 -2019-12-23 21:04:10.186,-0.000977,0.073242,0.007324,0.312805,-0.503540,15.769958 -2019-12-23 21:04:10.196,-0.001953,0.073730,0.008301,0.312805,-0.518799,15.769958 -2019-12-23 21:04:10.207,-0.008301,0.068848,0.003906,0.305176,-0.526428,15.808105 -2019-12-23 21:04:10.217,-0.007324,0.068848,0.005859,0.305176,-0.541687,15.777587 -2019-12-23 21:04:10.227,-0.012207,0.072754,0.004395,0.289917,-0.495911,15.769958 -2019-12-23 21:04:10.237,-0.009277,0.070801,0.009766,0.305176,-0.534058,15.754699 -2019-12-23 21:04:10.248,-0.007813,0.071289,0.010254,0.297546,-0.549316,15.777587 -2019-12-23 21:04:10.258,-0.006348,0.074707,0.007813,0.282288,-0.549316,15.777587 -2019-12-23 21:04:10.268,0.001953,0.068848,0.008301,0.312805,-0.503540,15.800475 -2019-12-23 21:04:10.278,0.001953,0.070313,0.005859,0.335693,-0.564575,15.808105 -2019-12-23 21:04:10.288,-0.002930,0.071777,-0.001465,0.328064,-0.518799,15.777587 -2019-12-23 21:04:10.299,-0.004395,0.068848,0.004395,0.305176,-0.518799,15.785216 -2019-12-23 21:04:10.309,-0.006348,0.066406,0.007813,0.297546,-0.526428,15.800475 -2019-12-23 21:04:10.319,-0.000977,0.068359,0.001953,0.282288,-0.503540,15.800475 -2019-12-23 21:04:10.329,0.006836,0.071289,0.003418,0.305176,-0.534058,15.808105 -2019-12-23 21:04:10.340,0.008789,0.070313,0.012207,0.320435,-0.526428,15.762328 -2019-12-23 21:04:10.350,0.000000,0.069336,0.007324,0.297546,-0.473022,15.838622 -2019-12-23 21:04:10.360,-0.009277,0.066895,0.002441,0.297546,-0.480652,15.808105 -2019-12-23 21:04:10.369,-0.016602,0.068359,0.001953,0.328064,-0.503540,15.769958 -2019-12-23 21:04:10.380,-0.010742,0.063965,0.003906,0.312805,-0.541687,15.785216 -2019-12-23 21:04:10.390,-0.010254,0.062012,0.004883,0.328064,-0.511169,15.823363 -2019-12-23 21:04:10.399,-0.005371,0.062988,0.005859,0.312805,-0.549316,15.808105 -2019-12-23 21:04:10.409,-0.001953,0.061523,0.003906,0.305176,-0.549316,15.792846 -2019-12-23 21:04:10.420,0.000977,0.063965,0.001953,0.328064,-0.526428,15.800475 -2019-12-23 21:04:10.430,0.012695,0.067871,0.003906,0.335693,-0.473022,15.792846 -2019-12-23 21:04:10.440,0.015625,0.069824,0.007813,0.297546,-0.549316,15.777587 -2019-12-23 21:04:10.449,0.011719,0.065918,0.009766,0.289917,-0.518799,15.777587 -2019-12-23 21:04:10.460,0.012695,0.062500,0.006348,0.305176,-0.488281,15.762328 -2019-12-23 21:04:10.470,0.013672,0.062500,0.007813,0.305176,-0.534058,15.739440 -2019-12-23 21:04:10.479,0.003418,0.061523,0.005371,0.305176,-0.518799,15.808105 -2019-12-23 21:04:10.489,-0.006348,0.062012,0.008789,0.312805,-0.518799,15.823363 -2019-12-23 21:04:10.500,-0.008789,0.057617,0.001465,0.320435,-0.518799,15.800475 -2019-12-23 21:04:10.510,-0.008301,0.062988,0.002930,0.282288,-0.518799,15.762328 -2019-12-23 21:04:10.520,0.001953,0.074219,0.006348,0.320435,-0.541687,15.785216 -2019-12-23 21:04:10.530,0.009766,0.082520,0.011230,0.328064,-0.518799,15.785216 -2019-12-23 21:04:10.539,0.009766,0.079590,0.011230,0.320435,-0.495911,15.800475 -2019-12-23 21:04:10.550,0.006348,0.083984,0.004883,0.305176,-0.511169,15.762328 -2019-12-23 21:04:10.560,-0.001953,0.080078,0.006836,0.350952,-0.526428,15.762328 -2019-12-23 21:04:10.569,-0.006836,0.082031,0.012207,0.305176,-0.541687,15.830993 -2019-12-23 21:04:10.579,-0.004883,0.084961,0.008301,0.289917,-0.518799,15.800475 -2019-12-23 21:04:10.590,-0.008789,0.083008,0.007813,0.312805,-0.503540,15.800475 -2019-12-23 21:04:10.600,-0.004395,0.089355,0.009766,0.297546,-0.480652,15.800475 -2019-12-23 21:04:10.610,0.000000,0.084961,0.009766,0.289917,-0.495911,15.739440 -2019-12-23 21:04:10.619,-0.007324,0.078613,0.010254,0.282288,-0.518799,15.754699 -2019-12-23 21:04:10.630,-0.011230,0.073242,0.008301,0.335693,-0.511169,15.815734 -2019-12-23 21:04:10.640,-0.008789,0.068359,0.005859,0.305176,-0.511169,15.785216 -2019-12-23 21:04:10.649,-0.001953,0.069336,0.007324,0.289917,-0.541687,15.769958 -2019-12-23 21:04:10.659,0.004883,0.068359,0.003906,0.320435,-0.549316,15.769958 -2019-12-23 21:04:10.670,0.001953,0.060059,-0.000488,0.320435,-0.518799,15.739440 -2019-12-23 21:04:10.680,0.005371,0.062988,0.001465,0.289917,-0.518799,15.716552 -2019-12-23 21:04:10.690,0.005371,0.062988,0.003906,0.312805,-0.534058,15.762328 -2019-12-23 21:04:10.699,0.000488,0.064941,0.007324,0.297546,-0.503540,15.838622 -2019-12-23 21:04:10.710,0.003906,0.070313,0.008301,0.282288,-0.503540,15.785216 -2019-12-23 21:04:10.720,0.005371,0.071777,0.005859,0.297546,-0.503540,15.785216 -2019-12-23 21:04:10.729,0.001953,0.069336,0.002441,0.343323,-0.473022,15.785216 -2019-12-23 21:04:10.739,-0.001465,0.071289,0.007324,0.335693,-0.488281,15.792846 -2019-12-23 21:04:10.750,-0.002441,0.076660,0.004883,0.305176,-0.511169,15.785216 -2019-12-23 21:04:10.760,-0.002441,0.071289,0.005371,0.335693,-0.549316,15.777587 -2019-12-23 21:04:10.770,0.001465,0.072266,0.007324,0.312805,-0.518799,15.800475 -2019-12-23 21:04:10.779,-0.002441,0.070801,0.007813,0.320435,-0.518799,15.754699 -2019-12-23 21:04:10.789,-0.002930,0.074707,0.006836,0.328064,-0.534058,15.754699 -2019-12-23 21:04:10.800,-0.011230,0.071777,0.002441,0.328064,-0.541687,15.777587 -2019-12-23 21:04:10.809,-0.012695,0.068359,0.003906,0.312805,-0.526428,15.815734 -2019-12-23 21:04:10.819,-0.011230,0.075684,0.004883,0.312805,-0.495911,15.808105 -2019-12-23 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21:04:10.949,0.001953,0.072754,0.008789,0.289917,-0.495911,15.815734 -2019-12-23 21:04:10.960,0.004395,0.071777,0.004395,0.289917,-0.511169,15.739440 -2019-12-23 21:04:10.970,0.005371,0.068848,0.002441,0.289917,-0.534058,15.747069 -2019-12-23 21:04:10.979,0.001465,0.067871,0.007324,0.289917,-0.511169,15.769958 -2019-12-23 21:04:10.989,0.003906,0.071289,0.010254,0.282288,-0.503540,15.777587 -2019-12-23 21:04:11.000,0.000977,0.070801,0.004883,0.305176,-0.518799,15.800475 -2019-12-23 21:04:11.010,0.011719,0.071777,0.004395,0.312805,-0.511169,15.800475 -2019-12-23 21:04:11.020,0.010254,0.072754,0.008789,0.343323,-0.534058,15.754699 -2019-12-23 21:04:11.030,0.005371,0.068848,0.006348,0.312805,-0.511169,15.762328 -2019-12-23 21:04:11.039,0.012695,0.071777,0.007813,0.297546,-0.473022,15.800475 -2019-12-23 21:04:11.050,0.010254,0.072754,0.005859,0.312805,-0.518799,15.769958 -2019-12-23 21:04:11.060,0.007324,0.071777,-0.001465,0.320435,-0.488281,15.701293 -2019-12-23 21:04:11.069,0.000488,0.069824,-0.000488,0.289917,-0.526428,15.739440 -2019-12-23 21:04:11.079,-0.003906,0.071777,0.008789,0.282288,-0.518799,15.769958 -2019-12-23 21:04:11.090,0.002930,0.075195,0.009766,0.312805,-0.495911,15.785216 -2019-12-23 21:04:11.100,0.005371,0.073730,0.005371,0.289917,-0.488281,15.792846 -2019-12-23 21:04:11.110,0.003418,0.077148,0.005371,0.297546,-0.480652,15.815734 -2019-12-23 21:04:11.119,0.006836,0.076172,0.008789,0.297546,-0.503540,15.823363 -2019-12-23 21:04:11.130,-0.008789,0.073730,0.008301,0.305176,-0.518799,15.754699 -2019-12-23 21:04:11.140,-0.009766,0.076660,0.009277,0.297546,-0.526428,15.792846 -2019-12-23 21:04:11.150,-0.011230,0.070801,0.006836,0.312805,-0.503540,15.830993 -2019-12-23 21:04:11.160,-0.017578,0.072266,0.005859,0.312805,-0.534058,15.777587 -2019-12-23 21:04:11.170,-0.013672,0.071777,0.008301,0.282288,-0.511169,15.769958 -2019-12-23 21:04:11.181,-0.008301,0.070313,0.012207,0.289917,-0.541687,15.815734 -2019-12-23 21:04:11.191,-0.004395,0.074707,0.007324,0.289917,-0.541687,15.823363 -2019-12-23 21:04:11.201,-0.002441,0.073730,0.007324,0.289917,-0.511169,15.769958 -2019-12-23 21:04:11.211,-0.006836,0.072754,0.004395,0.305176,-0.495911,15.747069 -2019-12-23 21:04:11.222,-0.003418,0.066406,0.014648,0.297546,-0.518799,15.785216 -2019-12-23 21:04:11.232,-0.006836,0.064941,0.016113,0.312805,-0.511169,15.785216 -2019-12-23 21:04:11.242,-0.007813,0.062988,0.011230,0.312805,-0.518799,15.792846 -2019-12-23 21:04:11.253,-0.006348,0.066895,0.003906,0.297546,-0.495911,15.808105 -2019-12-23 21:04:11.263,-0.003906,0.068359,0.004395,0.320435,-0.511169,15.808105 -2019-12-23 21:04:11.273,0.000488,0.062988,0.007324,0.282288,-0.541687,15.769958 -2019-12-23 21:04:11.283,-0.000977,0.069336,0.006836,0.305176,-0.518799,15.762328 -2019-12-23 21:04:11.294,-0.002441,0.069824,0.004883,0.312805,-0.503540,15.808105 -2019-12-23 21:04:11.304,-0.002930,0.073730,0.007324,0.312805,-0.549316,15.846251 -2019-12-23 21:04:11.314,-0.005371,0.073730,0.009277,0.366211,-0.541687,15.769958 -2019-12-23 21:04:11.324,-0.001953,0.069824,0.003906,0.335693,-0.526428,15.777587 -2019-12-23 21:04:11.335,-0.003906,0.070313,0.003906,0.297546,-0.541687,15.777587 -2019-12-23 21:04:11.345,-0.009766,0.073730,0.005859,0.305176,-0.534058,15.792846 -2019-12-23 21:04:11.355,-0.006836,0.070801,0.005859,0.289917,-0.518799,15.815734 -2019-12-23 21:04:11.365,-0.006836,0.071777,0.009277,0.297546,-0.488281,15.785216 -2019-12-23 21:04:11.376,-0.005859,0.068359,0.005859,0.289917,-0.495911,15.815734 -2019-12-23 21:04:11.386,-0.008789,0.073242,0.002441,0.320435,-0.488281,15.762328 -2019-12-23 21:04:11.396,-0.004395,0.078125,0.005859,0.305176,-0.495911,15.800475 -2019-12-23 21:04:11.406,-0.000488,0.072266,0.006836,0.312805,-0.534058,15.815734 -2019-12-23 21:04:11.416,-0.006836,0.068848,0.005371,0.282288,-0.526428,15.777587 -2019-12-23 21:04:11.427,-0.009277,0.069336,0.009277,0.335693,-0.534058,15.777587 -2019-12-23 21:04:11.437,-0.012695,0.069336,0.008789,0.343323,-0.480652,15.754699 -2019-12-23 21:04:11.447,-0.012207,0.069336,0.006348,0.335693,-0.511169,15.754699 -2019-12-23 21:04:11.458,-0.004883,0.071289,0.004395,0.328064,-0.526428,15.754699 -2019-12-23 21:04:11.468,-0.006348,0.068359,0.003418,0.305176,-0.534058,15.762328 -2019-12-23 21:04:11.478,-0.009277,0.065430,0.015137,0.297546,-0.518799,15.777587 -2019-12-23 21:04:11.488,-0.006348,0.071289,0.009277,0.328064,-0.488281,15.777587 -2019-12-23 21:04:11.499,0.000488,0.076660,0.008789,0.312805,-0.518799,15.777587 -2019-12-23 21:04:11.509,-0.005859,0.076660,0.007813,0.312805,-0.526428,15.777587 -2019-12-23 21:04:11.519,-0.016602,0.073242,0.003906,0.305176,-0.549316,15.800475 -2019-12-23 21:04:11.529,-0.013184,0.074219,0.005859,0.282288,-0.549316,15.800475 -2019-12-23 21:04:11.539,0.001465,0.064453,0.009277,0.320435,-0.534058,15.792846 -2019-12-23 21:04:11.550,-0.003418,0.061035,0.009766,0.305176,-0.526428,15.800475 -2019-12-23 21:04:11.560,-0.014160,0.067871,0.009277,0.312805,-0.511169,15.762328 -2019-12-23 21:04:11.569,-0.008301,0.069824,0.010742,0.312805,-0.518799,15.808105 -2019-12-23 21:04:11.579,-0.007324,0.077148,-0.000977,0.343323,-0.495911,15.853881 -2019-12-23 21:04:11.590,0.000000,0.075195,0.001953,0.328064,-0.503540,15.800475 -2019-12-23 21:04:11.600,-0.003906,0.074219,0.006348,0.335693,-0.511169,15.777587 -2019-12-23 21:04:11.610,-0.006348,0.070313,0.010254,0.289917,-0.534058,15.815734 -2019-12-23 21:04:11.619,-0.011230,0.075684,0.011230,0.289917,-0.549316,15.815734 -2019-12-23 21:04:11.630,-0.015137,0.079590,0.015625,0.282288,-0.534058,15.808105 -2019-12-23 21:04:11.640,-0.020020,0.079590,0.011230,0.289917,-0.511169,15.777587 -2019-12-23 21:04:11.649,-0.007813,0.080078,0.004883,0.297546,-0.518799,15.823363 -2019-12-23 21:04:11.659,-0.001465,0.077148,0.004395,0.297546,-0.541687,15.838622 -2019-12-23 21:04:11.670,0.005859,0.075684,0.010254,0.312805,-0.526428,15.830993 -2019-12-23 21:04:11.680,0.004883,0.068848,0.008789,0.305176,-0.511169,15.800475 -2019-12-23 21:04:11.690,0.005859,0.062988,0.016602,0.312805,-0.526428,15.808105 -2019-12-23 21:04:11.699,-0.003418,0.066406,0.008789,0.297546,-0.511169,15.808105 -2019-12-23 21:04:11.710,-0.006836,0.069824,0.006836,0.320435,-0.503540,15.792846 -2019-12-23 21:04:11.720,-0.000488,0.060547,0.003418,0.297546,-0.495911,15.830993 -2019-12-23 21:04:11.729,0.004395,0.057129,0.002441,0.297546,-0.511169,15.777587 -2019-12-23 21:04:11.739,-0.000977,0.057129,0.002930,0.305176,-0.518799,15.792846 -2019-12-23 21:04:11.750,-0.004395,0.065918,0.008789,0.320435,-0.534058,15.808105 -2019-12-23 21:04:11.760,-0.003906,0.069824,0.010742,0.312805,-0.511169,15.838622 -2019-12-23 21:04:11.770,-0.008789,0.070313,0.009277,0.328064,-0.480652,15.769958 -2019-12-23 21:04:11.780,-0.011719,0.074707,0.002930,0.305176,-0.480652,15.754699 -2019-12-23 21:04:11.789,-0.014160,0.078613,0.002930,0.305176,-0.541687,15.785216 -2019-12-23 21:04:11.800,-0.024902,0.082520,0.006348,0.312805,-0.534058,15.808105 -2019-12-23 21:04:11.810,-0.019043,0.084473,0.007813,0.305176,-0.534058,15.792846 -2019-12-23 21:04:11.819,-0.006836,0.081543,0.005859,0.274658,-0.541687,15.777587 -2019-12-23 21:04:11.829,-0.010254,0.077148,0.010742,0.274658,-0.511169,15.777587 -2019-12-23 21:04:11.840,-0.003906,0.070313,0.006348,0.289917,-0.511169,15.754699 -2019-12-23 21:04:11.850,-0.010254,0.069824,0.005371,0.259399,-0.541687,15.777587 -2019-12-23 21:04:11.860,-0.011719,0.066895,0.003906,0.297546,-0.549316,15.747069 -2019-12-23 21:04:11.869,-0.008301,0.063965,0.003906,0.328064,-0.503540,15.716552 -2019-12-23 21:04:11.880,-0.001953,0.060547,0.004883,0.328064,-0.526428,15.754699 -2019-12-23 21:04:11.890,0.000977,0.062012,0.006836,0.312805,-0.556946,15.777587 -2019-12-23 21:04:11.899,0.011230,0.059082,0.007813,0.320435,-0.518799,15.777587 -2019-12-23 21:04:11.909,0.021484,0.063477,0.003906,0.320435,-0.480652,15.785216 -2019-12-23 21:04:11.920,0.009766,0.062012,0.007324,0.312805,-0.556946,15.815734 -2019-12-23 21:04:11.930,0.001465,0.060547,0.000000,0.320435,-0.541687,15.838622 -2019-12-23 21:04:11.940,-0.004883,0.061035,0.000000,0.297546,-0.488281,15.800475 -2019-12-23 21:04:11.950,-0.002930,0.060059,0.007813,0.335693,-0.511169,15.800475 -2019-12-23 21:04:11.960,-0.005371,0.064453,0.008789,0.358582,-0.518799,15.754699 -2019-12-23 21:04:11.970,-0.012207,0.066406,0.006348,0.297546,-0.511169,15.830993 -2019-12-23 21:04:11.980,-0.014648,0.065918,0.008301,0.305176,-0.534058,15.815734 -2019-12-23 21:04:11.991,-0.007813,0.066895,0.009277,0.305176,-0.511169,15.846251 -2019-12-23 21:04:12.001,-0.002441,0.068359,0.010742,0.282288,-0.511169,15.815734 -2019-12-23 21:04:12.011,0.004395,0.072754,0.002930,0.328064,-0.526428,15.800475 -2019-12-23 21:04:12.022,0.010742,0.075684,0.003418,0.312805,-0.511169,15.815734 -2019-12-23 21:04:12.032,0.016113,0.066406,0.001465,0.297546,-0.518799,15.830993 -2019-12-23 21:04:12.042,0.004883,0.063965,0.000977,0.320435,-0.526428,15.785216 -2019-12-23 21:04:12.052,0.010254,0.063965,-0.000977,0.312805,-0.518799,15.792846 -2019-12-23 21:04:12.062,0.005859,0.064453,0.001953,0.320435,-0.534058,15.823363 -2019-12-23 21:04:12.073,0.001465,0.068359,0.002441,0.282288,-0.488281,15.808105 -2019-12-23 21:04:12.083,0.008301,0.069336,0.002441,0.282288,-0.495911,15.785216 -2019-12-23 21:04:12.093,0.006348,0.069824,0.008789,0.312805,-0.511169,15.800475 -2019-12-23 21:04:12.104,0.003906,0.072266,0.006836,0.320435,-0.526428,15.769958 -2019-12-23 21:04:12.114,0.001465,0.070801,0.004395,0.312805,-0.518799,15.792846 -2019-12-23 21:04:12.124,-0.000977,0.067383,0.010254,0.312805,-0.473022,15.769958 -2019-12-23 21:04:12.134,-0.004395,0.067383,0.007324,0.297546,-0.526428,15.769958 -2019-12-23 21:04:12.145,0.001465,0.075195,0.006836,0.335693,-0.534058,15.792846 -2019-12-23 21:04:12.155,-0.009766,0.075195,0.009766,0.320435,-0.495911,15.808105 -2019-12-23 21:04:12.165,-0.008301,0.076660,0.009766,0.320435,-0.503540,15.777587 -2019-12-23 21:04:12.175,-0.006348,0.078613,0.005371,0.350952,-0.541687,15.769958 -2019-12-23 21:04:12.185,-0.007813,0.079102,0.009766,0.312805,-0.503540,15.769958 -2019-12-23 21:04:12.196,-0.008789,0.076660,0.006348,0.297546,-0.495911,15.800475 -2019-12-23 21:04:12.206,-0.012207,0.073242,0.003906,0.312805,-0.518799,15.838622 -2019-12-23 21:04:12.216,-0.009766,0.069824,0.004883,0.312805,-0.503540,15.785216 -2019-12-23 21:04:12.227,-0.007813,0.069824,0.009277,0.297546,-0.518799,15.762328 -2019-12-23 21:04:12.237,-0.006836,0.066895,0.011230,0.289917,-0.564575,15.792846 -2019-12-23 21:04:12.247,-0.011719,0.070313,0.008301,0.282288,-0.534058,15.792846 -2019-12-23 21:04:12.257,-0.014648,0.067871,0.008789,0.289917,-0.518799,15.762328 -2019-12-23 21:04:12.267,-0.003906,0.075195,0.005859,0.289917,-0.526428,15.769958 -2019-12-23 21:04:12.278,-0.001953,0.077148,0.005859,0.305176,-0.541687,15.785216 -2019-12-23 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21:04:12.770,-0.001465,0.071289,0.003906,0.267029,-0.534058,15.808105 -2019-12-23 21:04:12.779,0.001465,0.072266,0.000977,0.312805,-0.526428,15.769958 -2019-12-23 21:04:12.789,-0.001465,0.069824,0.005371,0.297546,-0.488281,15.762328 -2019-12-23 21:04:12.800,-0.003418,0.072266,0.011719,0.312805,-0.511169,15.800475 -2019-12-23 21:04:12.809,-0.005859,0.073730,0.009277,0.312805,-0.511169,15.815734 -2019-12-23 21:04:12.819,-0.005371,0.076660,0.008789,0.320435,-0.511169,15.800475 -2019-12-23 21:04:12.829,-0.006348,0.070801,0.004883,0.305176,-0.511169,15.792846 -2019-12-23 21:04:12.840,-0.010254,0.068848,0.004883,0.312805,-0.518799,15.785216 -2019-12-23 21:04:12.850,-0.004883,0.073242,0.003906,0.297546,-0.518799,15.777587 -2019-12-23 21:04:12.860,-0.009766,0.068848,0.007324,0.297546,-0.518799,15.762328 -2019-12-23 21:04:12.869,-0.004395,0.070313,0.002930,0.297546,-0.503540,15.777587 -2019-12-23 21:04:12.880,-0.005859,0.070313,0.006348,0.282288,-0.518799,15.815734 -2019-12-23 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21:04:13.010,0.021973,0.075684,0.008301,0.343323,-0.534058,15.769958 -2019-12-23 21:04:13.020,0.032227,0.072754,0.006836,0.343323,-0.518799,15.769958 -2019-12-23 21:04:13.029,0.031250,0.068359,0.006836,0.297546,-0.503540,15.792846 -2019-12-23 21:04:13.039,0.025391,0.068848,0.005859,0.274658,-0.503540,15.830993 -2019-12-23 21:04:13.050,0.013184,0.068848,0.008301,0.289917,-0.480652,15.769958 -2019-12-23 21:04:13.060,0.007324,0.060059,0.005371,0.335693,-0.526428,15.800475 -2019-12-23 21:04:13.069,-0.002441,0.056152,0.005371,0.297546,-0.534058,15.823363 -2019-12-23 21:04:13.079,-0.008789,0.059082,0.004395,0.289917,-0.488281,15.800475 -2019-12-23 21:04:13.090,-0.019531,0.062988,0.010742,0.305176,-0.495911,15.762328 -2019-12-23 21:04:13.100,-0.018555,0.064941,0.010742,0.328064,-0.526428,15.785216 -2019-12-23 21:04:13.110,-0.017090,0.068359,0.004883,0.312805,-0.503540,15.777587 -2019-12-23 21:04:13.119,-0.010254,0.080078,0.010254,0.312805,-0.534058,15.808105 -2019-12-23 21:04:13.130,0.002441,0.087402,0.011230,0.328064,-0.511169,15.762328 -2019-12-23 21:04:13.140,0.001953,0.088379,0.008301,0.312805,-0.511169,15.747069 -2019-12-23 21:04:13.149,0.011719,0.089844,0.013184,0.297546,-0.518799,15.815734 -2019-12-23 21:04:13.160,0.003906,0.082520,0.008301,0.289917,-0.495911,15.815734 -2019-12-23 21:04:13.170,-0.013672,0.073242,0.003418,0.320435,-0.457764,15.785216 -2019-12-23 21:04:13.180,-0.016602,0.072266,0.004883,0.305176,-0.526428,15.777587 -2019-12-23 21:04:13.190,-0.020996,0.066895,0.002441,0.297546,-0.518799,15.823363 -2019-12-23 21:04:13.201,-0.019043,0.059570,0.008301,0.305176,-0.511169,15.823363 -2019-12-23 21:04:13.211,-0.012695,0.057129,0.008789,0.305176,-0.488281,15.769958 -2019-12-23 21:04:13.221,0.001465,0.067383,0.006348,0.274658,-0.526428,15.769958 -2019-12-23 21:04:13.232,0.002441,0.068359,0.005859,0.305176,-0.518799,15.830993 -2019-12-23 21:04:13.242,0.009766,0.077148,0.004395,0.312805,-0.503540,15.815734 -2019-12-23 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21:04:17.072,0.006348,0.756836,0.361816,91.003410,85.327141,-28.129576 -2019-12-23 21:04:17.082,-0.078125,0.745117,0.376465,109.916679,69.770813,-18.234253 -2019-12-23 21:04:17.092,-0.165039,0.745117,0.434082,116.813652,61.225887,-9.727478 -2019-12-23 21:04:17.101,-0.193359,0.767090,0.377441,116.203300,58.311459,0.495911 -2019-12-23 21:04:17.111,-0.122559,0.825684,0.294922,125.717155,47.943111,5.874633 -2019-12-23 21:04:17.121,-0.033203,0.906250,0.210449,137.756348,31.478880,8.087158 -2019-12-23 21:04:17.131,0.023926,0.957031,0.185547,138.282776,18.241882,0.717163 -2019-12-23 21:04:17.141,0.052246,0.918457,0.069824,117.927544,11.619567,-11.543273 -2019-12-23 21:04:17.150,0.038574,0.869629,0.088379,93.315117,9.048462,-25.993345 -2019-12-23 21:04:17.160,-0.018555,0.896484,0.174805,65.376282,17.181396,-28.373716 -2019-12-23 21:04:17.170,-0.074219,0.935059,0.248535,42.549129,25.764463,-32.791138 -2019-12-23 21:04:17.180,-0.083496,0.943359,0.218262,29.678343,26.618956,-40.718075 -2019-12-23 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21:04:33.590,-0.532715,0.646973,0.794922,85.525505,-177.589401,158.409119 -2019-12-23 21:04:33.599,-0.495605,0.703613,0.791016,98.693840,-197.517380,189.254745 -2019-12-23 21:04:33.610,-0.357422,0.746094,0.745117,107.543938,-213.867172,216.835007 -2019-12-23 21:04:33.619,-0.208008,0.831543,0.773926,100.708000,-218.681320,230.941757 -2019-12-23 21:04:33.630,-0.250000,0.750488,0.758789,73.272705,-213.821396,238.914474 -2019-12-23 21:04:33.639,-0.234375,0.708496,0.777832,62.225338,-213.180527,239.273056 -2019-12-23 21:04:33.650,-0.190918,0.695801,0.760742,39.237976,-211.875900,233.428940 -2019-12-23 21:04:33.659,-0.056641,0.692871,0.652832,36.949158,-215.873703,241.401657 -2019-12-23 21:04:33.669,0.006836,0.639648,0.668457,50.094601,-217.231735,249.992355 -2019-12-23 21:04:33.680,0.074707,0.618164,0.578125,56.373592,-218.658432,249.992355 -2019-12-23 21:04:33.689,0.234375,0.548340,0.453613,69.404602,-210.212692,249.671921 -2019-12-23 21:04:33.700,0.439453,0.495605,0.358398,71.121216,-186.470016,238.098129 -2019-12-23 21:04:33.709,0.562500,0.564453,0.343262,54.969784,-148.223877,203.979477 -2019-12-23 21:04:33.720,0.611816,0.619141,0.356445,43.502804,-94.642632,179.092392 -2019-12-23 21:04:33.729,0.462402,0.548828,0.652344,36.972046,-79.658508,175.422653 -2019-12-23 21:04:33.740,0.446289,0.543945,0.500488,20.957945,-86.654655,161.224350 -2019-12-23 21:04:33.750,0.528809,0.425781,0.429199,22.888182,-71.060181,155.525208 -2019-12-23 21:04:33.760,0.562012,0.392578,0.399414,26.313780,-59.539791,140.449524 -2019-12-23 21:04:33.770,0.564453,0.459473,0.463867,23.277281,-45.417782,116.905205 -2019-12-23 21:04:33.780,0.579102,0.576660,0.469238,25.459288,-41.740414,108.924858 -2019-12-23 21:04:33.791,0.613281,0.644043,0.432129,34.179688,-29.953001,115.692131 -2019-12-23 21:04:33.801,0.619141,0.628418,0.484375,38.284302,-4.081726,121.749870 -2019-12-23 21:04:33.811,0.587891,0.555664,0.563965,29.182432,7.019042,121.376030 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21:04:40.990,0.668945,0.395508,0.501953,18.966675,-32.676697,-85.922234 -2019-12-23 21:04:41.000,0.705078,0.506348,0.416992,18.951416,-44.784542,-73.585510 -2019-12-23 21:04:41.010,0.738281,0.652344,0.377930,10.185241,-52.360531,-65.528870 -2019-12-23 21:04:41.020,0.730957,0.728027,0.381348,-6.851196,-60.264584,-67.276001 -2019-12-23 21:04:41.030,0.709473,0.673828,0.347656,-24.856565,-65.727234,-80.123901 -2019-12-23 21:04:41.040,0.680664,0.494141,0.409180,-5.256652,-49.392696,-86.059563 -2019-12-23 21:04:41.050,0.620605,0.320801,0.583496,73.936462,-8.377075,-71.166992 -2019-12-23 21:04:41.061,0.518555,0.440430,0.600586,138.916016,13.618468,-50.765987 -2019-12-23 21:04:41.071,0.567383,0.699707,0.394043,151.962280,10.482787,-37.857056 -2019-12-23 21:04:41.081,0.611328,0.827148,0.285156,114.822380,-5.615234,-29.640196 -2019-12-23 21:04:41.091,0.689941,0.833008,0.347656,60.142513,-12.031554,-18.737793 -2019-12-23 21:04:41.102,0.699707,0.798828,0.313965,11.901855,-10.101317,-2.029419 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21:05:01.380,-0.173828,0.174316,1.237793,77.041626,17.211914,71.884155 -2019-12-23 21:05:01.390,-0.119629,0.239258,1.233887,82.809441,32.051086,47.569271 -2019-12-23 21:05:01.400,-0.032227,0.340332,1.253906,92.445366,40.763851,34.149170 -2019-12-23 21:05:01.410,0.015625,0.404297,1.254395,104.728691,40.771481,41.702267 -2019-12-23 21:05:01.420,0.040527,0.462891,1.231445,122.116081,36.880493,59.516903 -2019-12-23 21:05:01.430,0.071777,0.511719,1.210938,146.461487,28.709410,73.471069 -2019-12-23 21:05:01.440,0.037109,0.458984,1.181152,172.637924,16.166687,87.425224 -2019-12-23 21:05:01.450,-0.105957,0.351563,1.176758,191.665634,11.192321,98.739616 -2019-12-23 21:05:01.460,-0.198730,0.252441,1.133789,197.723373,10.963439,101.341240 -2019-12-23 21:05:01.470,-0.162598,0.250977,1.060547,197.509750,15.838622,93.978874 -2019-12-23 21:05:01.480,-0.074707,0.380859,1.052734,200.881943,19.844055,84.060661 -2019-12-23 21:05:01.490,0.021484,0.517090,1.065430,208.976730,13.313293,83.129875 -2019-12-23 21:05:01.500,0.057129,0.703613,1.092285,223.152145,5.790710,89.828484 -2019-12-23 21:05:01.510,0.054688,0.824707,1.123047,244.461044,-1.174927,104.515068 -2019-12-23 21:05:01.520,0.089844,0.827148,1.108887,249.992355,-9.124756,130.485535 -2019-12-23 21:05:01.530,0.098145,0.790039,1.102051,249.931320,-14.091491,161.766037 -2019-12-23 21:05:01.540,0.045898,0.676758,1.143066,249.839767,-22.560118,183.822617 -2019-12-23 21:05:01.550,0.129883,0.634766,1.026855,249.992355,-41.732784,189.308151 -2019-12-23 21:05:01.560,0.167969,0.706543,0.946289,249.992355,-62.400814,195.754990 -2019-12-23 21:05:01.570,0.137695,0.692871,0.912598,249.992355,-80.154419,194.389328 -2019-12-23 21:05:01.580,0.229980,0.666016,0.812988,249.992355,-94.612114,181.900009 -2019-12-23 21:05:01.590,0.274902,0.778320,0.704590,249.992355,-110.328667,176.002487 -2019-12-23 21:05:01.600,0.359863,0.761230,0.717773,249.992355,-131.263733,163.200363 -2019-12-23 21:05:01.610,0.375488,0.755859,0.666992,249.992355,-151.763916,160.583496 -2019-12-23 21:05:01.620,0.350586,0.716309,0.672363,249.992355,-165.237411,168.930038 -2019-12-23 21:05:01.630,0.198242,0.683594,0.636230,249.992355,-175.147995,187.927231 -2019-12-23 21:05:01.640,0.056641,0.545410,0.543945,249.992355,-181.144699,194.038376 -2019-12-23 21:05:01.651,0.060547,0.450684,0.397949,249.992355,-170.860275,177.734360 -2019-12-23 21:05:01.661,0.061523,0.419922,0.313965,249.992355,-155.609131,162.734970 -2019-12-23 21:05:01.671,0.170898,0.364746,0.199707,249.992355,-137.619019,152.549744 -2019-12-23 21:05:01.681,0.203613,0.296875,0.130859,249.992355,-121.200554,146.217346 -2019-12-23 21:05:01.692,0.404785,0.379883,-0.007324,249.961838,-110.671989,125.892632 -2019-12-23 21:05:01.702,0.527344,0.516113,-0.009766,242.919907,-108.062737,117.568962 -2019-12-23 21:05:01.712,0.444824,0.527832,-0.064453,227.546677,-109.603874,127.861015 -2019-12-23 21:05:01.722,0.394043,0.498535,-0.115723,217.437729,-101.394646,121.231071 -2019-12-23 21:05:01.733,0.349121,0.463867,-0.149902,203.826889,-90.812675,107.437126 -2019-12-23 21:05:01.743,0.452637,0.507324,-0.220703,185.478195,-82.054131,83.663933 -2019-12-23 21:05:01.753,0.585449,0.633301,-0.234375,175.308212,-70.274353,60.806271 -2019-12-23 21:05:01.763,0.699219,0.768555,-0.229492,173.461899,-70.297241,52.963253 -2019-12-23 21:05:01.774,0.695801,0.828125,-0.213379,177.497849,-78.758240,63.880917 -2019-12-23 21:05:01.784,0.632813,0.866699,-0.191895,183.296188,-87.661736,76.004028 -2019-12-23 21:05:01.794,0.519531,0.799805,-0.209473,186.294540,-88.714592,69.793701 -2019-12-23 21:05:01.804,0.539551,0.636230,-0.304199,189.727768,-94.230644,52.818295 -2019-12-23 21:05:01.815,0.556641,0.496094,-0.365723,189.346298,-94.627373,42.724606 -2019-12-23 21:05:01.825,0.547363,0.465332,-0.420898,182.792648,-92.002861,45.547482 -2019-12-23 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21:05:02.625,0.560059,-1.033691,0.022461,249.458298,150.947571,43.899532 -2019-12-23 21:05:02.635,0.754395,-1.103027,0.161621,236.122116,129.875183,48.233028 -2019-12-23 21:05:02.645,0.976074,-1.184570,0.137695,204.826340,136.100769,42.831417 -2019-12-23 21:05:02.655,1.007324,-1.114258,0.249512,175.155624,150.360107,19.500732 -2019-12-23 21:05:02.666,0.860840,-0.960938,0.425781,148.345947,166.900620,-0.877380 -2019-12-23 21:05:02.676,0.599121,-0.810059,0.470703,136.482239,195.175156,-13.488769 -2019-12-23 21:05:02.686,0.427734,-0.701172,0.558594,145.858765,201.827988,-17.036438 -2019-12-23 21:05:02.696,0.333008,-0.649902,0.601563,167.114243,194.816574,-10.177611 -2019-12-23 21:05:02.707,0.266602,-0.670898,0.548828,191.390976,183.135971,-5.340576 -2019-12-23 21:05:02.717,0.259766,-0.707520,0.543945,214.782700,164.947495,-2.159119 -2019-12-23 21:05:02.727,0.419922,-0.791504,0.636719,224.243149,142.875671,4.280090 -2019-12-23 21:05:02.737,0.787598,-0.944336,0.665039,194.175705,111.923210,4.684448 -2019-12-23 21:05:02.748,1.056152,-1.132813,0.579590,144.706726,79.299927,-0.640869 -2019-12-23 21:05:02.758,0.787598,-1.057617,0.576172,115.089409,90.141289,-17.326355 -2019-12-23 21:05:02.768,0.522461,-0.867188,0.730957,95.710747,115.829460,-48.217770 -2019-12-23 21:05:02.778,0.231934,-0.671875,0.877441,76.629639,127.471916,-56.846615 -2019-12-23 21:05:02.789,0.153320,-0.548340,0.983398,71.113586,124.710075,-33.874512 -2019-12-23 21:05:02.799,0.180176,-0.514160,0.995117,85.777275,121.154778,-15.342711 -2019-12-23 21:05:02.809,0.149414,-0.501465,1.015137,106.597893,99.418633,-4.524231 -2019-12-23 21:05:02.819,0.170410,-0.506836,1.023926,111.373894,81.405632,8.460999 -2019-12-23 21:05:02.830,0.177734,-0.509766,0.948730,116.073601,78.117371,20.606993 -2019-12-23 21:05:02.840,0.201660,-0.533691,0.924316,119.834892,83.503716,25.581358 -2019-12-23 21:05:02.850,0.284668,-0.557617,0.870117,108.451836,92.704765,24.894712 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21:05:02.970,0.199219,-0.334473,0.971191,-6.797790,39.215088,15.998839 -2019-12-23 21:05:02.980,0.269531,-0.318359,0.953613,4.188538,54.801937,14.961242 -2019-12-23 21:05:02.990,0.243652,-0.331055,0.975098,21.797178,76.332092,21.614073 -2019-12-23 21:05:03.000,0.275391,-0.361328,0.990723,29.273985,72.029114,16.441345 -2019-12-23 21:05:03.009,0.279785,-0.392090,0.957520,34.622192,52.337643,4.364014 -2019-12-23 21:05:03.019,0.210449,-0.447754,1.158691,37.757874,37.963867,-8.895874 -2019-12-23 21:05:03.030,0.037109,-0.656738,0.909180,27.534483,63.362118,-15.792846 -2019-12-23 21:05:03.040,-0.019531,-0.621582,0.827148,28.182981,79.727173,-15.579223 -2019-12-23 21:05:03.050,-0.020996,-0.514648,0.875977,16.624451,68.603516,-5.874633 -2019-12-23 21:05:03.060,-0.007813,-0.417969,0.886719,26.435850,63.186642,10.833739 -2019-12-23 21:05:03.070,0.055176,-0.355957,0.966309,25.154112,46.508785,11.894225 -2019-12-23 21:05:03.080,0.133789,-0.293945,0.993652,4.646301,33.309937,22.468565 -2019-12-23 21:05:03.090,0.067383,-0.313477,0.942871,5.973815,20.462034,30.792234 -2019-12-23 21:05:03.100,0.009766,-0.335449,0.840332,3.723144,13.046264,20.935057 -2019-12-23 21:05:03.110,0.023438,-0.363281,0.849609,-8.888245,12.794494,5.180358 -2019-12-23 21:05:03.120,-0.244141,-0.284180,0.804688,-16.845703,18.257141,-4.928589 -2019-12-23 21:05:03.130,0.234375,-0.448730,0.923340,-10.734557,6.118774,-1.869202 -2019-12-23 21:05:03.140,0.231445,-0.552734,1.131348,-32.325745,37.261963,7.110595 -2019-12-23 21:05:03.150,0.128906,-0.508789,0.977051,-53.680416,77.186584,26.100157 -2019-12-23 21:05:03.160,0.150391,-0.530273,0.926270,-43.479916,56.549068,26.824949 -2019-12-23 21:05:03.170,0.106934,-0.552246,0.855469,-15.777587,50.392147,26.367186 -2019-12-23 21:05:03.180,0.125977,-0.530762,0.886719,-7.675170,46.829220,33.477783 -2019-12-23 21:05:03.190,0.049316,-0.500977,0.850098,-20.141600,48.896786,39.962769 -2019-12-23 21:05:03.200,-0.003906,-0.498535,0.872070,-32.501221,54.679867,31.677244 -2019-12-23 21:05:03.210,-0.061523,-0.447754,0.869141,-37.414551,38.406372,15.335082 -2019-12-23 21:05:03.220,-0.160645,-0.116699,0.636719,-26.863096,27.847288,5.043029 -2019-12-23 21:05:03.230,-0.194336,-0.323730,0.570313,96.611015,-0.083923,1.289368 -2019-12-23 21:05:03.240,-0.094238,-0.660645,1.228027,120.452873,4.463196,-6.782531 -2019-12-23 21:05:03.250,-0.065918,-0.587402,1.128418,12.245177,47.782894,25.581358 -2019-12-23 21:05:03.260,-0.110840,-0.492188,1.127441,21.141050,31.814573,34.500122 -2019-12-23 21:05:03.269,-0.032227,-0.437500,0.980957,61.172482,2.944946,22.789000 -2019-12-23 21:05:03.279,-0.111328,-0.356445,0.875488,41.061398,6.240844,19.279480 -2019-12-23 21:05:03.289,-0.070313,-0.360352,0.888672,34.156799,9.048462,-8.422852 -2019-12-23 21:05:03.299,-0.041016,-0.277344,0.873047,53.688046,3.982544,-14.762877 -2019-12-23 21:05:03.309,-0.083008,-0.338867,0.839844,79.948425,-9.078979,-15.350341 -2019-12-23 21:05:03.319,-0.078613,-0.298340,0.820801,90.560905,-26.367186,-37.437439 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21:05:03.560,0.038086,-0.027344,1.000000,18.936157,4.913330,-7.881164 -2019-12-23 21:05:03.570,0.030273,-0.020508,1.017090,15.182494,4.600525,-6.843566 -2019-12-23 21:05:03.580,0.024414,-0.026367,1.021484,8.811951,3.295898,-8.583069 -2019-12-23 21:05:03.590,0.031250,-0.025391,1.014648,5.439758,2.876281,-11.924743 -2019-12-23 21:05:03.600,0.027832,-0.021484,1.009277,3.273010,2.471924,-13.633727 -2019-12-23 21:05:03.610,0.031250,-0.024902,1.013672,1.831055,2.304077,-15.968322 -2019-12-23 21:05:03.620,0.043457,-0.026367,1.009277,0.450134,2.220154,-15.434264 -2019-12-23 21:05:03.630,0.036621,-0.030273,1.001465,0.457764,2.189636,-10.887145 -2019-12-23 21:05:03.640,0.040527,-0.035645,1.003906,1.571655,2.151489,-7.522583 -2019-12-23 21:05:03.650,0.023438,-0.026855,1.008789,3.608703,2.464294,-2.265930 -2019-12-23 21:05:03.660,0.032227,-0.030273,1.006836,3.875732,1.991272,-4.150391 -2019-12-23 21:05:03.671,0.028809,-0.024902,1.010254,5.729675,2.845764,-4.661560 -2019-12-23 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21:05:05.762,0.594727,0.303223,-0.736328,-158.493042,-165.267929,-126.411430 -2019-12-23 21:05:05.772,0.553223,0.324707,-0.713379,-146.911621,-146.797180,-126.792900 -2019-12-23 21:05:05.783,0.477539,0.425293,-0.752930,-149.513245,-134.033203,-132.415771 -2019-12-23 21:05:05.793,0.303711,0.574219,-0.701660,-143.020630,-125.518791,-127.334587 -2019-12-23 21:05:05.803,0.185547,0.580078,-0.629395,-146.224976,-132.179260,-120.544426 -2019-12-23 21:05:05.814,0.252441,0.551270,-0.718262,-158.943176,-144.424438,-125.709526 -2019-12-23 21:05:05.824,0.274902,0.563965,-0.770020,-167.983994,-148.612976,-140.907288 -2019-12-23 21:05:05.834,0.229980,0.660156,-0.772949,-175.346359,-148.300171,-158.561707 -2019-12-23 21:05:05.844,0.058105,0.722656,-0.683105,-165.519699,-138.198853,-139.602661 -2019-12-23 21:05:05.855,-0.161621,0.918457,-0.612305,-145.698547,-126.495354,-70.533752 -2019-12-23 21:05:05.865,-0.049805,0.933105,-0.737793,-114.540092,-106.369011,-58.273312 -2019-12-23 21:05:05.875,0.159668,0.699219,-0.749023,-85.105888,-82.740776,-58.326717 -2019-12-23 21:05:05.885,0.219727,0.626465,-0.775879,-78.659058,-65.444946,-55.755611 -2019-12-23 21:05:05.895,0.318848,0.683105,-0.890137,-97.145073,-33.622742,-85.052483 -2019-12-23 21:05:05.906,0.023438,0.877441,-0.758301,-77.339172,-13.053893,-52.970882 -2019-12-23 21:05:05.916,-0.040039,0.805664,-0.599121,-80.497734,-7.011413,-40.847775 -2019-12-23 21:05:05.926,0.071289,0.641113,-0.637695,-118.476860,-12.374877,-79.589844 -2019-12-23 21:05:05.937,0.226074,0.580566,-0.666504,-118.995659,-17.913818,-93.933098 -2019-12-23 21:05:05.947,0.334961,0.624512,-0.702148,-96.984856,-12.802123,-79.963684 -2019-12-23 21:05:05.957,0.131836,0.859375,-0.683594,-66.024780,-7.583618,-37.689209 -2019-12-23 21:05:05.967,0.013672,1.000488,-0.641113,-48.965450,7.507324,-5.310058 -2019-12-23 21:05:05.977,0.034180,0.934570,-0.674316,-49.797054,12.336730,4.127502 -2019-12-23 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21:05:06.921,0.067871,0.985352,0.073242,-0.381470,0.076294,-0.030518 -2019-12-23 21:05:06.931,0.030762,0.980469,0.082031,0.106812,1.686096,0.007629 -2019-12-23 21:05:06.942,0.036621,0.977539,0.078613,-0.915527,1.846313,0.267029 -2019-12-23 21:05:06.952,0.035156,0.985352,0.084961,-1.113892,2.082825,0.205994 -2019-12-23 21:05:06.962,0.033203,0.984375,0.081543,-2.044678,3.509521,0.511169 -2019-12-23 21:05:06.972,0.034668,0.973145,0.085938,-2.113342,4.325867,0.358582 -2019-12-23 21:05:06.982,0.026367,0.970703,0.074219,-2.517700,4.196167,0.312805 -2019-12-23 21:05:06.993,0.025879,0.977539,0.080078,-0.976562,2.372742,0.007629 -2019-12-23 21:05:07.003,0.028809,0.976563,0.086914,-1.083374,2.380371,0.091553 -2019-12-23 21:05:07.013,0.029785,0.947754,0.089355,11.825561,1.251221,0.549316 -2019-12-23 21:05:07.024,0.041992,1.033203,0.057617,32.958984,-0.320435,0.633240 -2019-12-23 21:05:07.034,0.037109,0.986328,0.074219,1.678467,1.373291,0.007629 -2019-12-23 21:05:07.044,0.027832,0.916992,0.099121,-0.289917,1.609802,-0.061035 -2019-12-23 21:05:07.054,0.032715,0.998535,0.075195,43.846127,0.000000,0.885010 -2019-12-23 21:05:07.065,0.035645,0.982422,0.065918,39.497375,0.900268,0.526428 -2019-12-23 21:05:07.075,0.032715,0.968750,0.051758,47.035213,0.869751,0.457764 -2019-12-23 21:05:07.085,0.033203,0.981934,0.041504,43.968197,0.167847,0.381470 -2019-12-23 21:05:07.095,0.033203,1.006348,0.036133,37.696838,0.587463,0.396728 -2019-12-23 21:05:07.105,0.032227,0.992188,0.028809,31.967161,0.572205,0.358582 -2019-12-23 21:05:07.116,0.039063,1.005859,0.043457,14.656066,0.968933,0.144958 -2019-12-23 21:05:07.126,0.028320,0.982422,0.013672,-3.517151,0.610352,-0.076294 -2019-12-23 21:05:07.136,0.030273,0.982910,0.031738,-0.953674,1.945495,0.175476 -2019-12-23 21:05:07.147,0.032715,0.962891,0.044922,1.045227,2.067566,0.236511 -2019-12-23 21:05:07.157,0.034668,0.999023,0.016602,28.099058,1.243591,0.411987 -2019-12-23 21:05:07.167,0.030762,0.988770,0.013184,9.407043,1.190186,0.152588 -2019-12-23 21:05:07.177,0.032227,0.991699,0.026855,-3.463745,1.502991,0.061035 -2019-12-23 21:05:07.187,0.033691,0.995117,0.023438,0.160217,1.174927,0.198364 -2019-12-23 21:05:07.198,0.031250,0.963379,0.022949,0.068665,1.235962,0.267029 -2019-12-23 21:05:07.208,0.030762,0.985840,0.025391,0.114441,1.625061,0.213623 -2019-12-23 21:05:07.218,0.014160,1.000488,-0.008789,-0.152588,2.815246,0.297546 -2019-12-23 21:05:07.229,0.005371,0.965820,-0.041992,0.221252,24.467466,0.663757 -2019-12-23 21:05:07.239,0.034180,0.976563,0.016602,0.213623,48.324581,0.923157 -2019-12-23 21:05:07.249,0.092773,1.003418,-0.018066,0.015259,55.969234,0.915527 -2019-12-23 21:05:07.259,0.118652,0.980957,0.006348,-0.442505,70.388794,1.434326 -2019-12-23 21:05:07.269,0.038574,0.963379,0.040527,-0.419617,78.498840,1.762390 -2019-12-23 21:05:07.279,0.098145,0.984863,0.112305,0.000000,58.814999,0.877380 -2019-12-23 21:05:07.289,0.032227,0.991211,0.097656,0.366211,6.904602,0.122070 -2019-12-23 21:05:07.300,-0.036621,0.972656,0.044434,0.289917,-17.745972,0.038147 -2019-12-23 21:05:07.309,-0.068848,0.979004,0.004395,-0.015259,-11.619567,-0.213623 -2019-12-23 21:05:07.319,0.071777,0.993652,-0.025879,-0.640869,2.143860,-0.007629 -2019-12-23 21:05:07.329,0.087891,0.980469,-0.132324,0.160217,-10.910033,0.022888 -2019-12-23 21:05:07.340,0.000977,0.971680,0.010254,-0.099182,-5.966186,-0.244141 -2019-12-23 21:05:07.349,0.018066,0.991211,0.046875,-0.045776,16.021729,0.122070 -2019-12-23 21:05:07.359,-0.020020,0.985840,0.137207,-0.465393,26.191710,0.640869 -2019-12-23 21:05:07.369,-0.006836,0.960938,0.198242,0.549316,17.265320,0.381470 -2019-12-23 21:05:07.380,-0.192383,0.953125,0.155762,1.754761,-35.942078,-0.305176 -2019-12-23 21:05:07.390,0.065430,0.982422,0.121094,0.900268,-55.465694,-1.365662 -2019-12-23 21:05:07.400,0.067383,1.002930,0.072266,2.166748,-74.325562,-2.136230 -2019-12-23 21:05:07.409,0.080078,0.989258,0.007813,1.953125,-111.587517,-1.686096 -2019-12-23 21:05:07.420,0.086426,0.982422,0.000000,1.106262,-135.467529,-1.686096 -2019-12-23 21:05:07.430,0.118652,0.978516,-0.263672,0.556946,-118.606560,-2.098083 -2019-12-23 21:05:07.440,0.059082,0.976563,-0.044434,-0.778198,-13.648986,-0.289917 -2019-12-23 21:05:07.449,0.025879,0.992188,0.065430,-0.045776,9.826660,0.137329 -2019-12-23 21:05:07.460,0.040039,0.984863,0.032715,0.228882,-1.312256,-0.083923 -2019-12-23 21:05:07.470,0.033203,0.968750,0.007813,0.198364,-3.746032,-0.030518 -2019-12-23 21:05:07.480,0.033691,0.978027,0.022949,0.091553,0.953674,0.175476 -2019-12-23 21:05:07.489,0.034180,0.979980,0.034180,16.029358,1.571655,0.556946 -2019-12-23 21:05:07.500,0.023438,1.010742,0.004883,15.312194,1.296997,0.328064 -2019-12-23 21:05:07.510,0.030762,0.953613,0.016602,-3.852844,0.991821,-0.022888 -2019-12-23 21:05:07.520,0.030273,0.986816,0.023438,-1.884460,1.167297,0.061035 -2019-12-23 21:05:07.529,0.030762,1.010254,0.023926,0.167847,1.091003,0.007629 -2019-12-23 21:05:07.539,0.035645,0.979980,0.016113,-0.152588,1.129150,0.205994 -2019-12-23 21:05:07.550,0.034668,0.969727,0.013184,-0.274658,1.502991,0.228882 -2019-12-23 21:05:07.559,0.012207,1.001953,-0.014648,4.760742,8.666992,0.511169 -2019-12-23 21:05:07.570,0.064453,0.962402,-0.012695,16.838074,43.563839,0.938415 -2019-12-23 21:05:07.579,0.000000,0.995605,0.089355,32.295227,42.289730,0.823975 -2019-12-23 21:05:07.590,0.032227,0.990723,0.003418,-2.731323,-5.470275,0.015259 -2019-12-23 21:05:07.600,0.035156,1.000977,0.004883,-2.510071,-0.411987,0.114441 -2019-12-23 21:05:07.610,-0.003418,0.980469,0.005859,0.091553,7.354736,0.137329 -2019-12-23 21:05:07.619,0.101074,0.972656,-0.008789,-0.923157,28.182981,0.015259 -2019-12-23 21:05:07.630,0.032715,0.996582,-0.003418,-1.083374,7.919311,0.122070 -2019-12-23 21:05:07.640,0.033203,0.989258,0.020996,-0.183105,8.171082,0.144958 -2019-12-23 21:05:07.650,0.044434,0.969238,0.024414,0.152588,6.439209,0.213623 -2019-12-23 21:05:07.659,0.032715,0.978516,0.009277,0.030518,0.976562,0.167847 -2019-12-23 21:05:07.670,0.029785,0.988281,0.012207,0.221252,0.724792,0.198364 -2019-12-23 21:05:07.680,0.031250,0.972168,0.012207,0.572205,1.197815,0.205994 -2019-12-23 21:05:07.690,0.032227,0.983887,0.001465,27.641294,14.038085,0.297546 -2019-12-23 21:05:07.700,0.024414,1.008301,0.013184,14.137267,9.796143,0.144958 -2019-12-23 21:05:07.710,0.035156,0.978516,-0.000488,-4.287720,-1.182556,0.114441 -2019-12-23 21:05:07.721,0.036621,0.980469,0.003418,0.160217,1.136780,0.099182 -2019-12-23 21:05:07.731,0.038574,0.979492,0.003906,0.480652,1.403808,0.099182 -2019-12-23 21:05:07.741,0.039063,0.984375,0.003418,-0.221252,1.045227,0.091553 -2019-12-23 21:05:07.751,0.036133,0.986816,0.005371,-0.251770,1.029968,0.083923 -2019-12-23 21:05:07.762,0.033691,0.981445,0.003906,-0.427246,1.106262,0.152588 -2019-12-23 21:05:07.772,0.032715,0.978027,0.005859,-0.839233,1.075745,0.167847 -2019-12-23 21:05:07.782,0.028320,0.980469,0.004883,-0.671387,1.106262,0.038147 -2019-12-23 21:05:07.793,0.030762,0.980469,0.004883,-0.030518,1.144409,0.160217 -2019-12-23 21:05:07.803,0.033691,0.986816,0.006836,0.183105,1.060486,0.068665 -2019-12-23 21:05:07.813,0.033691,0.983887,0.005859,0.289917,1.060486,0.160217 -2019-12-23 21:05:07.823,0.035645,0.975586,0.039063,1.190186,1.167297,0.152588 -2019-12-23 21:05:07.834,0.037598,0.987305,-0.014648,12.481688,5.805969,-0.267029 -2019-12-23 21:05:07.844,0.035156,0.987305,-0.008301,1.441955,3.349304,0.183105 -2019-12-23 21:05:07.854,0.034668,0.979492,0.003906,-2.197266,0.946045,0.221252 -2019-12-23 21:05:07.864,0.036621,0.981934,0.000977,-0.419617,0.930786,0.137329 -2019-12-23 21:05:07.875,0.032227,0.984375,-0.000488,-0.419617,1.022339,0.053406 -2019-12-23 21:05:07.885,0.029785,0.982910,-0.000977,-0.205994,1.098633,0.045776 -2019-12-23 21:05:07.895,0.007813,0.977051,0.001953,0.709534,1.068115,0.091553 -2019-12-23 21:05:07.905,0.049316,0.982910,0.001953,7.125854,2.998352,-0.190735 -2019-12-23 21:05:07.916,0.038086,0.984375,-0.001953,0.755310,1.472473,-0.114441 -2019-12-23 21:05:07.926,0.030762,0.986816,0.000000,-0.343323,0.877380,-0.038147 -2019-12-23 21:05:07.936,0.033691,0.989258,0.000000,2.914428,1.113892,-0.045776 -2019-12-23 21:05:07.946,0.031738,0.980469,-0.004395,3.578186,0.579834,0.007629 -2019-12-23 21:05:07.957,0.031250,0.979004,-0.000977,4.676819,-0.915527,0.007629 -2019-12-23 21:05:07.967,0.032227,0.982910,-0.002441,3.448486,-0.305176,0.030518 -2019-12-23 21:05:07.977,0.031738,0.981445,-0.001953,2.342224,0.267029,0.167847 -2019-12-23 21:05:07.987,0.032715,0.980957,-0.003906,1.304626,0.656128,0.152588 -2019-12-23 21:05:07.998,0.032715,0.985352,-0.005859,0.228882,1.037598,0.183105 -2019-12-23 21:05:08.008,0.032715,0.985352,-0.004395,-0.350952,1.075745,0.152588 -2019-12-23 21:05:08.018,0.034668,0.979980,-0.001953,-0.381470,1.068115,0.129700 -2019-12-23 21:05:08.028,0.036621,0.979980,-0.001953,-0.457764,1.235962,0.190735 -2019-12-23 21:05:08.038,0.034180,0.982910,-0.003906,-0.640869,1.167297,0.053406 -2019-12-23 21:05:08.049,0.033691,0.982910,-0.002930,-0.671387,1.045227,0.083923 -2019-12-23 21:05:08.059,0.034668,0.981934,-0.001465,-0.541687,1.091003,0.022888 -2019-12-23 21:05:08.069,0.033203,0.987793,-0.003418,-0.534058,1.152039,0.068665 -2019-12-23 21:05:08.079,0.031250,0.985840,-0.001465,-0.473022,1.060486,0.152588 -2019-12-23 21:05:08.090,0.030273,0.979980,-0.002441,-0.183105,1.152039,0.137329 -2019-12-23 21:05:08.100,0.031250,0.979492,-0.001465,-0.534058,1.121521,0.160217 -2019-12-23 21:05:08.110,0.032227,0.983887,0.000977,-0.282288,1.129150,0.068665 -2019-12-23 21:05:08.119,0.034668,0.983398,-0.001953,0.183105,1.152039,0.053406 -2019-12-23 21:05:08.130,0.037598,0.982422,-0.005371,0.434875,1.167297,0.228882 -2019-12-23 21:05:08.140,0.036621,0.983887,-0.002930,0.465393,1.136780,0.213623 -2019-12-23 21:05:08.149,0.034668,0.984375,-0.001465,0.389099,1.121521,0.190735 -2019-12-23 21:05:08.159,0.034180,0.981445,-0.004395,0.282288,1.068115,0.106812 -2019-12-23 21:05:08.170,0.034668,0.981934,-0.004883,-0.190735,1.045227,0.038147 -2019-12-23 21:05:08.180,0.033203,0.984863,-0.002441,-0.175476,1.045227,0.030518 -2019-12-23 21:05:08.190,0.030273,0.981934,-0.004883,-0.236511,1.121521,0.122070 -2019-12-23 21:05:08.199,0.032715,0.979492,-0.005859,-0.305176,1.052856,0.122070 -2019-12-23 21:05:08.210,0.030762,0.983398,-0.001465,-0.488281,1.106262,0.129700 -2019-12-23 21:05:08.220,0.034180,0.984863,0.000488,-0.778198,1.129150,0.000000 -2019-12-23 21:05:08.229,0.037109,0.984863,-0.001465,-0.679016,1.121521,0.091553 -2019-12-23 21:05:08.239,0.032227,0.982422,0.000488,-0.381470,1.106262,0.114441 -2019-12-23 21:05:08.250,0.031738,0.978027,-0.002441,0.106812,1.091003,0.160217 -2019-12-23 21:05:08.260,0.031250,0.980957,-0.001465,0.473022,1.152039,0.221252 -2019-12-23 21:05:08.270,0.033203,0.981934,-0.002441,0.541687,1.045227,0.137329 -2019-12-23 21:05:08.280,0.033691,0.982910,-0.003418,0.312805,0.984192,0.129700 -2019-12-23 21:05:08.289,0.033203,0.984863,-0.002930,0.083923,1.129150,0.129700 -2019-12-23 21:05:08.300,0.033691,0.983398,-0.000977,-0.236511,1.182556,0.122070 -2019-12-23 21:05:08.310,0.035645,0.981934,-0.003418,-0.404358,1.205444,0.152588 -2019-12-23 21:05:08.319,0.035156,0.982910,-0.003418,-0.602722,1.152039,0.137329 -2019-12-23 21:05:08.329,0.033691,0.981445,-0.003906,-0.755310,1.174927,0.076294 -2019-12-23 21:05:08.340,0.032715,0.982910,-0.004395,-1.075745,1.159668,0.190735 -2019-12-23 21:05:08.350,0.032715,0.981934,-0.004395,-1.152039,1.152039,0.045776 -2019-12-23 21:05:08.360,0.033203,0.982910,-0.002930,-0.923157,1.197815,-0.007629 -2019-12-23 21:05:08.369,0.032715,0.982910,-0.004395,-6.294250,1.091003,0.205994 -2019-12-23 21:05:08.380,0.031738,0.979492,0.001953,-6.134033,1.083374,0.190735 -2019-12-23 21:05:08.390,0.031738,0.984375,-0.001465,-0.076294,1.113892,0.061035 -2019-12-23 21:05:08.399,0.034668,0.983398,-0.000488,-0.373840,1.144409,0.106812 -2019-12-23 21:05:08.409,0.036621,0.982422,-0.000488,-0.404358,1.113892,0.106812 -2019-12-23 21:05:08.420,0.038086,0.980957,0.000977,-0.076294,1.113892,0.061035 -2019-12-23 21:05:08.430,0.034668,0.983887,-0.000977,0.068665,1.144409,-0.015259 -2019-12-23 21:05:08.440,0.033691,0.984863,-0.000488,-0.114441,1.152039,0.083923 -2019-12-23 21:05:08.449,0.032715,0.982422,-0.001465,-0.160217,1.083374,0.144958 -2019-12-23 21:05:08.460,0.031250,0.983398,0.000977,0.045776,1.068115,0.114441 -2019-12-23 21:05:08.470,0.031738,0.984863,-0.001953,0.572205,1.014709,0.045776 -2019-12-23 21:05:08.479,0.033691,0.980469,0.000000,0.724792,1.045227,0.083923 -2019-12-23 21:05:08.489,0.036133,0.977539,-0.001465,0.877380,1.052856,0.144958 -2019-12-23 21:05:08.500,0.035645,0.980469,0.002441,0.991821,0.984192,0.167847 -2019-12-23 21:05:08.510,0.034668,0.982422,0.002441,0.869751,0.999451,0.061035 -2019-12-23 21:05:08.520,0.034668,0.982422,-0.001953,0.335693,1.068115,-0.045776 -2019-12-23 21:05:08.529,0.033691,0.985352,-0.002930,-0.381470,1.113892,0.083923 -2019-12-23 21:05:08.539,0.033691,0.984375,-0.000488,-0.915527,1.075745,0.152588 -2019-12-23 21:05:08.550,0.032715,0.979980,0.001465,-1.106262,1.060486,0.122070 -2019-12-23 21:05:08.559,0.030273,0.980957,0.000977,-1.205444,1.174927,0.083923 -2019-12-23 21:05:08.569,0.029785,0.979492,0.000000,-1.274109,1.205444,0.022888 -2019-12-23 21:05:08.579,0.032227,0.981934,0.000977,-1.167297,1.190186,0.038147 -2019-12-23 21:05:08.590,0.036621,0.984863,0.000000,-0.946045,1.144409,0.068665 -2019-12-23 21:05:08.600,0.036621,0.983887,-0.001953,-0.434875,1.121521,0.091553 -2019-12-23 21:05:08.610,0.034180,0.984375,-0.000488,0.061035,1.121521,0.061035 -2019-12-23 21:05:08.619,0.033203,0.983398,0.000977,0.610352,1.121521,0.076294 -2019-12-23 21:05:08.630,0.033691,0.982422,0.001953,0.953674,1.106262,0.244141 -2019-12-23 21:05:08.640,0.033691,0.979980,-0.000488,0.892639,1.083374,0.251770 -2019-12-23 21:05:08.649,0.032227,0.982422,-0.001465,0.839233,1.121521,0.190735 -2019-12-23 21:05:08.659,0.032715,0.984375,0.000977,0.549316,1.106262,0.160217 -2019-12-23 21:05:08.670,0.033691,0.982422,0.001465,0.259399,1.045227,0.144958 -2019-12-23 21:05:08.680,0.034668,0.980957,-0.003906,0.015259,1.083374,0.106812 -2019-12-23 21:05:08.690,0.034668,0.988281,0.000000,-0.259399,1.106262,0.129700 -2019-12-23 21:05:08.699,0.035156,0.979980,0.000000,-0.587463,1.213074,0.152588 -2019-12-23 21:05:08.710,0.035156,0.982422,-0.000488,-0.640869,1.121521,0.137329 -2019-12-23 21:05:08.720,0.036133,0.987305,-0.001953,-0.381470,1.075745,0.144958 -2019-12-23 21:05:08.729,0.034180,0.984375,-0.002930,-0.297546,1.068115,0.190735 -2019-12-23 21:05:08.739,0.031250,0.977539,-0.002930,-0.404358,1.060486,0.183105 -2019-12-23 21:05:08.750,0.030273,0.978516,-0.001465,-0.694275,1.174927,0.152588 -2019-12-23 21:05:08.760,0.032227,0.985352,-0.000488,-0.579834,1.136780,0.144958 -2019-12-23 21:05:08.770,0.031250,0.986328,-0.001465,-0.389099,1.144409,0.106812 -2019-12-23 21:05:08.780,0.034180,0.980469,-0.001465,-0.167847,1.167297,0.122070 -2019-12-23 21:05:08.789,0.036133,0.982422,-0.001953,-0.045776,1.106262,0.160217 -2019-12-23 21:05:08.800,0.033691,0.984375,-0.001465,0.236511,1.022339,0.144958 -2019-12-23 21:05:08.810,0.033691,0.982422,-0.000488,0.350952,1.060486,0.076294 -2019-12-23 21:05:08.819,0.035156,0.980957,0.000977,0.358582,1.159668,0.114441 -2019-12-23 21:05:08.829,0.034180,0.985352,0.000000,-0.061035,1.022339,0.129700 -2019-12-23 21:05:08.840,0.033691,0.985840,-0.000488,-0.328064,1.052856,0.015259 -2019-12-23 21:05:08.850,0.034180,0.981934,-0.000977,-0.175476,1.152039,0.137329 -2019-12-23 21:05:08.860,0.033203,0.979004,-0.001953,-0.305176,1.174927,0.106812 -2019-12-23 21:05:08.869,0.033691,0.979492,0.000977,-0.450134,1.144409,0.083923 -2019-12-23 21:05:08.880,0.034668,0.983887,-0.000488,-0.404358,1.121521,0.091553 -2019-12-23 21:05:08.890,0.034668,0.985352,0.001465,-0.503540,1.083374,0.152588 -2019-12-23 21:05:08.900,0.035645,0.982910,0.000488,-0.350952,1.121521,0.160217 -2019-12-23 21:05:08.910,0.034668,0.982910,-0.000977,-0.144958,1.129150,0.228882 -2019-12-23 21:05:08.920,0.030762,0.981445,0.000000,-0.099182,1.152039,0.198364 -2019-12-23 21:05:08.931,0.033691,0.980469,-0.000488,-0.221252,1.159668,0.122070 -2019-12-23 21:05:08.941,0.032227,0.979980,0.000000,-0.389099,1.167297,0.091553 -2019-12-23 21:05:08.951,0.034180,0.980469,-0.001953,-0.244141,1.091003,0.061035 -2019-12-23 21:05:08.961,0.034180,0.982910,0.001465,-0.061035,1.052856,0.030518 -2019-12-23 21:05:08.972,0.034180,0.981445,0.002930,0.038147,1.083374,0.076294 -2019-12-23 21:05:08.982,0.035156,0.981445,0.001465,-0.114441,1.129150,0.038147 -2019-12-23 21:05:08.992,0.035645,0.982422,0.000977,-0.343323,1.037598,0.053406 -2019-12-23 21:05:09.003,0.034668,0.981934,-0.000488,-0.335693,1.060486,0.152588 -2019-12-23 21:05:09.013,0.035645,0.981445,-0.000488,-0.267029,1.113892,0.144958 -2019-12-23 21:05:09.023,0.034180,0.980957,0.000488,-0.007629,1.045227,0.106812 -2019-12-23 21:05:09.033,0.031738,0.980957,0.000000,0.205994,1.075745,0.114441 -2019-12-23 21:05:09.044,0.031738,0.977051,-0.000977,0.366211,1.052856,0.175476 -2019-12-23 21:05:09.054,0.035156,0.979492,0.000000,0.503540,1.121521,0.183105 -2019-12-23 21:05:09.064,0.033691,0.983398,0.000977,0.335693,1.159668,0.137329 -2019-12-23 21:05:09.074,0.034668,0.983398,-0.001953,0.007629,1.106262,0.076294 -2019-12-23 21:05:09.085,0.038574,0.980469,-0.000977,-0.167847,1.152039,0.076294 -2019-12-23 21:05:09.095,0.032715,0.983887,-0.000488,-0.305176,1.129150,0.122070 -2019-12-23 21:05:09.105,0.032715,0.983887,0.001465,-0.488281,1.060486,0.137329 -2019-12-23 21:05:09.115,0.035156,0.979980,0.000488,-0.595093,1.068115,0.091553 -2019-12-23 21:05:09.125,0.033203,0.982910,-0.001465,-0.465393,1.098633,0.083923 -2019-12-23 21:05:09.136,0.032227,0.983398,-0.000488,-0.450134,1.098633,0.152588 -2019-12-23 21:05:09.146,0.032227,0.979980,0.000000,-0.320435,1.113892,0.152588 -2019-12-23 21:05:09.156,0.033691,0.980469,0.001465,-0.083923,1.129150,0.190735 -2019-12-23 21:05:09.166,0.032227,0.983887,0.000977,0.106812,1.129150,0.175476 -2019-12-23 21:05:09.177,0.034668,0.982910,0.000977,0.289917,1.106262,0.129700 -2019-12-23 21:05:09.187,0.034180,0.982422,-0.001465,0.427246,1.182556,0.167847 -2019-12-23 21:05:09.197,0.033691,0.984375,-0.000488,0.465393,1.159668,0.129700 -2019-12-23 21:05:09.208,0.034180,0.987305,0.000488,0.350952,1.174927,0.152588 -2019-12-23 21:05:09.218,0.033691,0.985352,-0.000488,0.122070,1.197815,0.198364 -2019-12-23 21:05:09.228,0.035156,0.979492,-0.002441,-0.061035,1.220703,0.167847 -2019-12-23 21:05:09.238,0.034180,0.979980,-0.000977,-0.099182,1.098633,0.122070 -2019-12-23 21:05:09.249,0.032715,0.980957,0.002930,-0.045776,1.152039,0.106812 -2019-12-23 21:05:09.259,0.032227,0.980469,-0.000488,0.091553,1.106262,0.137329 -2019-12-23 21:05:09.269,0.036133,0.980469,-0.001465,0.389099,1.045227,0.022888 -2019-12-23 21:05:09.279,0.037598,0.984863,-0.002441,0.473022,0.953674,0.114441 -2019-12-23 21:05:09.289,0.036621,0.983887,-0.001953,0.404358,0.961304,0.152588 -2019-12-23 21:05:09.300,0.033691,0.979004,-0.001953,0.190735,1.037598,0.167847 -2019-12-23 21:05:09.309,0.034180,0.976563,-0.001465,0.244141,1.029968,0.114441 -2019-12-23 21:05:09.319,0.032715,0.980469,-0.000977,0.419617,1.121521,0.152588 -2019-12-23 21:05:09.329,0.032227,0.986328,0.012207,0.366211,1.098633,0.144958 -2019-12-23 21:05:09.340,0.033203,0.980469,-0.003418,-2.182007,1.136780,0.152588 -2019-12-23 21:05:09.350,0.031250,0.979492,0.001953,-0.740051,0.953674,0.099182 -2019-12-23 21:05:09.359,-0.037598,0.982910,0.019043,-1.838684,-6.317138,0.099182 -2019-12-23 21:05:09.369,0.106934,0.985352,-0.019043,-0.656128,-11.283874,0.129700 -2019-12-23 21:05:09.380,0.028809,0.984863,0.002441,1.159668,2.723694,0.221252 -2019-12-23 21:05:09.389,0.032227,0.983398,0.001953,0.350952,1.609802,0.152588 -2019-12-23 21:05:09.399,0.039551,0.980957,-0.001465,0.083923,0.724792,0.061035 -2019-12-23 21:05:09.409,0.035645,0.981934,0.000000,0.221252,1.068115,0.122070 -2019-12-23 21:05:09.420,0.031250,0.986328,0.001953,0.381470,1.083374,0.053406 -2019-12-23 21:05:09.430,0.032227,0.981445,0.000977,0.328064,1.007080,0.106812 -2019-12-23 21:05:09.440,0.032715,0.977051,0.001465,0.274658,1.060486,0.175476 -2019-12-23 21:05:09.449,0.032227,0.982422,0.000000,0.328064,1.052856,0.137329 -2019-12-23 21:05:09.460,0.034668,0.985840,-0.001953,0.694275,1.052856,0.114441 -2019-12-23 21:05:09.470,0.035156,0.983398,-0.002441,1.312256,1.068115,0.076294 -2019-12-23 21:05:09.479,0.037109,0.980957,-0.001953,0.930786,1.113892,0.076294 -2019-12-23 21:05:09.489,0.036621,0.981445,-0.001953,-0.572205,1.121521,0.068665 -2019-12-23 21:05:09.500,0.036621,0.983398,0.000488,-1.060486,1.144409,0.129700 -2019-12-23 21:05:09.510,0.035156,0.981934,-0.000488,-1.274109,1.182556,0.038147 -2019-12-23 21:05:09.520,0.033203,0.979980,-0.000488,-1.289368,1.113892,0.061035 -2019-12-23 21:05:09.529,0.033203,0.983398,0.000000,-1.091003,1.091003,0.068665 -2019-12-23 21:05:09.539,0.033203,0.981934,-0.000488,-0.869751,1.113892,0.053406 -2019-12-23 21:05:09.550,0.032227,0.981445,-0.001465,-0.823975,1.167297,0.152588 -2019-12-23 21:05:09.559,0.033691,0.983887,-0.002441,-1.045227,1.167297,0.137329 -2019-12-23 21:05:09.569,0.011719,0.984375,-0.041016,-1.159668,1.533508,0.091553 -2019-12-23 21:05:09.579,0.047363,0.982422,0.011719,1.892090,17.654419,0.038147 -2019-12-23 21:05:09.590,0.042969,0.985840,0.012207,-0.885010,8.682251,0.099182 -2019-12-23 21:05:09.600,0.035645,0.982910,-0.000488,0.106812,8.071899,-0.015259 -2019-12-23 21:05:09.610,0.041504,0.981445,0.021973,-0.747681,5.279541,0.061035 -2019-12-23 21:05:09.619,0.027832,0.981934,-0.002930,-1.380920,-0.083923,0.076294 -2019-12-23 21:05:09.630,0.032227,0.982422,-0.000488,-0.350952,1.060486,0.160217 -2019-12-23 21:05:09.640,0.033203,0.985352,0.001953,0.244141,1.251221,0.259399 -2019-12-23 21:05:09.649,0.033691,0.980469,0.000000,0.633240,1.113892,0.160217 -2019-12-23 21:05:09.659,0.034668,0.980469,0.000977,1.098633,1.083374,0.091553 -2019-12-23 21:05:09.670,0.035156,0.983398,0.000488,1.296997,1.129150,0.129700 -2019-12-23 21:05:09.680,0.035645,0.983398,0.000488,1.312256,1.144409,0.198364 -2019-12-23 21:05:09.690,0.036133,0.981445,0.000488,1.495361,0.984192,0.205994 -2019-12-23 21:05:09.700,0.033203,0.979492,-0.001465,2.006531,0.907898,0.221252 -2019-12-23 21:05:09.710,-0.037598,0.987305,0.033691,0.717163,-6.950378,0.106812 -2019-12-23 21:05:09.720,0.042480,0.982910,-0.016602,0.045776,-11.878966,0.175476 -2019-12-23 21:05:09.730,0.071289,0.980957,-0.015137,0.289917,-7.064819,0.045776 -2019-12-23 21:05:09.741,0.057129,0.981934,-0.012207,1.060486,-1.129150,0.122070 -2019-12-23 21:05:09.751,0.028320,0.983398,-0.000488,0.877380,1.884460,0.076294 -2019-12-23 21:05:09.761,0.037109,0.980957,-0.002441,0.732422,1.022339,0.038147 -2019-12-23 21:05:09.772,0.038086,0.980469,-0.001953,0.213623,0.946045,0.091553 -2019-12-23 21:05:09.782,0.035156,0.985352,-0.001953,-0.411987,1.037598,0.022888 -2019-12-23 21:05:09.792,0.033203,0.982422,-0.002441,-0.480652,1.068115,0.083923 -2019-12-23 21:05:09.802,0.031738,0.977051,-0.001465,-0.877380,1.159668,0.076294 -2019-12-23 21:05:09.812,0.030273,0.982910,0.001953,-1.220703,1.243591,0.083923 -2019-12-23 21:05:09.823,0.029785,0.984375,0.001953,-1.037598,1.197815,0.114441 -2019-12-23 21:05:09.833,0.032227,0.979004,0.000488,-0.831604,1.136780,0.083923 -2019-12-23 21:05:09.843,0.035645,0.983887,0.000000,-0.587463,1.113892,0.068665 -2019-12-23 21:05:09.854,0.033691,0.986816,-0.002441,-0.305176,1.159668,0.007629 -2019-12-23 21:05:09.864,0.036133,0.980957,-0.000488,-0.030518,1.174927,0.106812 -2019-12-23 21:05:09.874,0.036621,0.979004,-0.002930,0.350952,1.098633,0.144958 -2019-12-23 21:05:09.884,0.032715,0.987305,0.000000,0.564575,1.113892,0.106812 -2019-12-23 21:05:09.895,0.033691,0.985352,-0.000977,0.640869,1.159668,0.144958 -2019-12-23 21:05:09.905,0.033691,0.976563,-0.002441,0.465393,1.167297,0.114441 -2019-12-23 21:05:09.915,0.032715,0.979492,-0.004395,0.167847,1.083374,0.053406 -2019-12-23 21:05:09.925,0.035156,0.987305,-0.001465,-0.297546,1.052856,0.000000 -2019-12-23 21:05:09.935,0.034668,0.986328,-0.001465,-0.495911,1.022339,0.099182 -2019-12-23 21:05:09.946,0.035645,0.982910,-0.001953,-0.831604,1.052856,0.068665 -2019-12-23 21:05:09.956,0.037109,0.982910,-0.002930,-0.961304,1.129150,0.083923 -2019-12-23 21:05:09.966,0.034180,0.983398,-0.000977,-0.862122,1.091003,0.106812 -2019-12-23 21:05:09.977,0.031738,0.981445,-0.001465,-0.671387,1.182556,0.129700 -2019-12-23 21:05:09.987,0.032715,0.981445,-0.001465,-0.282288,1.136780,0.053406 -2019-12-23 21:05:09.997,0.030762,0.981934,-0.001465,0.000000,1.113892,0.129700 -2019-12-23 21:05:10.007,0.031738,0.982910,-0.004395,0.350952,1.037598,0.076294 -2019-12-23 21:05:10.017,0.033691,0.982422,-0.001953,0.251770,1.121521,0.091553 -2019-12-23 21:05:10.028,0.034668,0.981445,-0.001953,-0.022888,1.121521,0.099182 -2019-12-23 21:05:10.038,0.033691,0.982910,-0.000977,-0.289917,1.083374,0.076294 -2019-12-23 21:05:10.048,0.034668,0.982910,-0.001465,-0.350952,1.022339,0.022888 -2019-12-23 21:05:10.059,0.033691,0.982422,-0.003418,-0.488281,1.045227,0.068665 -2019-12-23 21:05:10.069,0.035645,0.980957,0.000488,-0.587463,1.098633,0.106812 -2019-12-23 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21:05:10.199,0.033203,0.984863,-0.000488,0.144958,1.083374,0.129700 -2019-12-23 21:05:10.210,0.031250,0.983887,0.002930,0.007629,1.113892,0.122070 -2019-12-23 21:05:10.220,0.034180,0.981934,0.000488,0.106812,1.121521,0.228882 -2019-12-23 21:05:10.229,0.035645,0.980957,-0.001465,0.030518,1.098633,0.152588 -2019-12-23 21:05:10.239,0.034180,0.983887,0.001465,-0.076294,1.144409,0.083923 -2019-12-23 21:05:10.250,0.035156,0.981934,-0.001465,-0.129700,1.129150,0.099182 -2019-12-23 21:05:10.260,0.035645,0.984863,-0.001953,-0.526428,1.167297,0.061035 -2019-12-23 21:05:10.270,0.034180,0.984863,-0.003418,-0.762939,1.113892,0.114441 -2019-12-23 21:05:10.279,0.031738,0.982422,0.000000,-1.007080,1.136780,0.122070 -2019-12-23 21:05:10.289,0.032227,0.979492,0.000488,-0.648498,1.182556,0.122070 -2019-12-23 21:05:10.300,0.032227,0.980469,0.000000,-0.305176,1.129150,0.167847 -2019-12-23 21:05:10.310,0.033203,0.981445,0.000000,0.053406,1.075745,0.068665 -2019-12-23 21:05:10.319,0.034668,0.983887,0.000000,0.457764,1.197815,0.144958 -2019-12-23 21:05:10.329,0.036133,0.979492,0.000488,0.724792,1.098633,0.167847 -2019-12-23 21:05:10.340,0.035156,0.981445,-0.001953,0.686645,1.144409,0.167847 -2019-12-23 21:05:10.350,0.034180,0.983398,-0.001465,0.648498,1.152039,0.167847 -2019-12-23 21:05:10.360,0.033691,0.982910,-0.003906,0.373840,1.136780,0.076294 -2019-12-23 21:05:10.369,0.032715,0.979980,-0.002441,-0.053406,1.121521,0.144958 -2019-12-23 21:05:10.380,0.033203,0.981445,-0.001953,-0.373840,1.129150,0.091553 -2019-12-23 21:05:10.390,0.032227,0.981445,-0.002930,-0.534058,1.075745,0.038147 -2019-12-23 21:05:10.399,0.032715,0.981934,-0.002441,-0.541687,1.121521,0.038147 -2019-12-23 21:05:10.409,0.035645,0.983398,-0.001953,-0.488281,1.106262,0.038147 -2019-12-23 21:05:10.420,0.033203,0.982910,-0.003418,-0.320435,1.121521,0.175476 -2019-12-23 21:05:10.430,0.031250,0.981934,-0.002930,0.045776,1.083374,0.190735 -2019-12-23 21:05:10.440,0.033203,0.982422,-0.002930,0.312805,1.113892,0.152588 -2019-12-23 21:05:10.449,0.035645,0.984375,-0.002441,0.511169,1.144409,0.129700 -2019-12-23 21:05:10.460,0.035645,0.981934,-0.001953,0.587463,1.083374,0.183105 -2019-12-23 21:05:10.470,0.034180,0.979980,-0.001953,0.450134,1.037598,0.167847 -2019-12-23 21:05:10.479,0.032227,0.983398,0.000488,0.267029,1.098633,0.137329 -2019-12-23 21:05:10.489,0.034180,0.982910,0.000488,0.061035,1.083374,0.129700 -2019-12-23 21:05:10.500,0.035156,0.980957,-0.001465,-0.038147,1.037598,0.053406 -2019-12-23 21:05:10.510,0.036133,0.983887,-0.000488,-0.099182,1.091003,0.129700 -2019-12-23 21:05:10.520,0.034180,0.982422,-0.001465,-0.167847,1.083374,0.068665 -2019-12-23 21:05:10.529,0.034668,0.981445,-0.001465,-0.175476,1.190186,0.099182 -2019-12-23 21:05:10.539,0.032715,0.981445,-0.000977,-0.068665,1.060486,0.091553 -2019-12-23 21:05:10.550,0.032715,0.982910,0.000977,0.068665,1.052856,0.106812 -2019-12-23 21:05:10.559,0.035156,0.983398,-0.001953,0.114441,1.060486,0.106812 -2019-12-23 21:05:10.569,0.033691,0.979004,-0.002441,-0.114441,1.106262,0.213623 -2019-12-23 21:05:10.579,0.033691,0.984375,-0.002930,-0.160217,1.136780,0.213623 -2019-12-23 21:05:10.590,0.036133,0.984863,-0.000488,-0.137329,1.060486,0.114441 -2019-12-23 21:05:10.600,0.035156,0.979980,0.000000,-0.022888,1.113892,0.076294 -2019-12-23 21:05:10.610,0.035156,0.979980,-0.001465,-0.015259,1.174927,0.144958 -2019-12-23 21:05:10.619,0.036133,0.980957,0.000000,-0.259399,1.113892,0.129700 -2019-12-23 21:05:10.630,0.035156,0.982910,-0.003418,-0.213623,1.098633,0.114441 -2019-12-23 21:05:10.640,0.031738,0.982910,-0.000488,-0.007629,1.083374,0.137329 -2019-12-23 21:05:10.649,0.032227,0.981445,0.000000,0.122070,0.999451,0.045776 -2019-12-23 21:05:10.659,0.033691,0.985840,-0.000977,0.076294,1.113892,0.122070 -2019-12-23 21:05:10.670,0.035156,0.984863,0.000000,-0.091553,1.098633,0.076294 -2019-12-23 21:05:10.680,0.036133,0.983398,-0.002441,-0.205994,1.068115,0.106812 -2019-12-23 21:05:10.690,0.035645,0.983398,-0.001953,-0.244141,1.152039,0.106812 -2019-12-23 21:05:10.699,0.035156,0.981445,-0.001465,-0.236511,1.113892,0.091553 -2019-12-23 21:05:10.710,0.035645,0.979004,0.000000,-0.076294,1.075745,0.137329 -2019-12-23 21:05:10.720,0.034180,0.981445,-0.000488,0.183105,1.068115,0.053406 -2019-12-23 21:05:10.729,0.028809,0.980957,-0.003418,0.274658,1.083374,0.144958 -2019-12-23 21:05:10.739,0.032227,0.981934,-0.001953,0.221252,1.075745,0.122070 -2019-12-23 21:05:10.750,0.034180,0.981445,-0.001953,0.312805,1.098633,0.122070 -2019-12-23 21:05:10.760,0.033691,0.982910,0.000000,0.450134,1.121521,0.152588 -2019-12-23 21:05:10.770,0.033691,0.982422,-0.002930,0.717163,1.075745,0.099182 -2019-12-23 21:05:10.779,0.035156,0.981934,-0.002441,0.450134,1.068115,0.106812 -2019-12-23 21:05:10.789,0.033691,0.982422,-0.003906,0.061035,1.014709,0.114441 -2019-12-23 21:05:10.800,0.032227,0.982910,-0.005371,-0.129700,0.999451,0.167847 -2019-12-23 21:05:10.810,0.032227,0.980469,-0.003418,-0.259399,1.045227,0.122070 -2019-12-23 21:05:10.819,0.031738,0.980469,-0.001953,-0.244141,1.113892,0.099182 -2019-12-23 21:05:10.829,0.035156,0.984375,-0.002441,-0.198364,1.152039,0.099182 -2019-12-23 21:05:10.840,0.035645,0.982422,-0.003906,-0.038147,1.129150,0.106812 -2019-12-23 21:05:10.850,0.033203,0.983887,-0.001953,-0.007629,1.228333,0.099182 -2019-12-23 21:05:10.860,0.035156,0.981934,-0.000488,0.068665,1.144409,0.099182 -2019-12-23 21:05:10.869,0.034180,0.983887,-0.002441,0.205994,1.052856,0.099182 -2019-12-23 21:05:10.880,0.036621,0.982422,-0.000488,0.251770,1.060486,0.053406 -2019-12-23 21:05:10.890,0.033691,0.982910,-0.001953,0.244141,1.045227,0.144958 -2019-12-23 21:05:10.899,-0.073242,0.987793,0.036133,0.022888,-0.335693,0.122070 -2019-12-23 21:05:10.910,0.116211,0.979980,-0.031738,-0.679016,-24.620054,0.205994 -2019-12-23 21:05:10.920,0.037109,0.980469,-0.002441,0.602722,-4.463196,0.228882 -2019-12-23 21:05:10.930,0.027832,0.987793,0.001465,-0.755310,-3.410339,0.160217 -2019-12-23 21:05:10.941,0.070313,0.984863,-0.012207,-0.137329,-2.891540,0.167847 -2019-12-23 21:05:10.951,0.027344,0.979004,0.000000,0.549316,2.075195,0.000000 -2019-12-23 21:05:10.961,0.032715,0.983887,-0.000488,0.015259,1.213074,0.000000 -2019-12-23 21:05:10.971,0.035156,0.981934,-0.002441,-0.022888,1.007080,0.038147 -2019-12-23 21:05:10.982,0.036133,0.979004,-0.000488,-0.068665,1.136780,0.114441 -2019-12-23 21:05:10.992,0.033691,0.982422,-0.000977,-0.244141,1.068115,0.099182 -2019-12-23 21:05:11.002,0.032715,0.986328,-0.001465,-0.312805,1.167297,0.091553 -2019-12-23 21:05:11.012,0.033691,0.982910,0.000000,-0.335693,1.113892,0.068665 -2019-12-23 21:05:11.022,0.036133,0.980469,0.000000,-0.228882,1.106262,0.038147 -2019-12-23 21:05:11.033,0.031250,0.979980,0.000000,-0.152588,1.091003,0.099182 -2019-12-23 21:05:11.043,0.031250,0.983398,0.000000,0.022888,1.174927,0.175476 -2019-12-23 21:05:11.053,0.035645,0.982422,-0.000977,0.152588,1.083374,0.129700 -2019-12-23 21:05:11.064,0.035156,0.981934,-0.001953,0.114441,1.136780,0.122070 -2019-12-23 21:05:11.074,0.034668,0.983398,-0.001953,0.114441,1.106262,0.213623 -2019-12-23 21:05:11.084,0.035645,0.982422,-0.002930,-0.099182,1.060486,0.144958 -2019-12-23 21:05:11.094,0.034668,0.981934,-0.000488,-0.213623,1.129150,0.114441 -2019-12-23 21:05:11.104,0.030762,0.982910,0.001465,-0.343323,1.052856,0.152588 -2019-12-23 21:05:11.115,0.031250,0.980957,-0.001465,-0.373840,1.113892,0.144958 -2019-12-23 21:05:11.125,0.033203,0.981934,-0.001465,-0.259399,1.152039,0.129700 -2019-12-23 21:05:11.135,0.030762,0.981934,0.000000,-0.289917,1.159668,0.099182 -2019-12-23 21:05:11.145,0.034668,0.983887,0.000000,-0.030518,1.152039,0.122070 -2019-12-23 21:05:11.156,0.036621,0.982422,-0.001465,0.076294,1.037598,0.099182 -2019-12-23 21:05:11.166,0.033691,0.981445,-0.002930,0.022888,1.098633,0.022888 -2019-12-23 21:05:11.176,0.033203,0.983887,-0.002930,-0.030518,1.167297,0.099182 -2019-12-23 21:05:11.187,0.034180,0.983887,-0.004395,-0.129700,1.113892,0.053406 -2019-12-23 21:05:11.197,0.034668,0.981445,-0.001465,-0.289917,1.052856,0.068665 -2019-12-23 21:05:11.207,0.032715,0.982910,-0.001953,-0.442505,1.106262,0.038147 -2019-12-23 21:05:11.217,0.032227,0.984375,-0.003418,-0.457764,1.083374,0.053406 -2019-12-23 21:05:11.227,0.032227,0.982422,-0.003418,-0.411987,1.075745,0.106812 -2019-12-23 21:05:11.238,0.034180,0.980469,-0.002930,-0.282288,1.029968,0.122070 -2019-12-23 21:05:11.248,0.033203,0.982422,-0.003418,-0.343323,1.098633,0.122070 -2019-12-23 21:05:11.258,0.035645,0.985352,-0.001953,-0.289917,1.197815,0.106812 -2019-12-23 21:05:11.269,0.035645,0.983398,-0.000977,0.000000,1.152039,0.007629 -2019-12-23 21:05:11.279,0.034180,0.982422,-0.001465,0.160217,1.144409,0.129700 -2019-12-23 21:05:11.289,0.036133,0.981445,-0.003418,0.259399,1.068115,0.221252 -2019-12-23 21:05:11.299,0.035156,0.982910,-0.000977,0.144958,1.098633,0.106812 -2019-12-23 21:05:11.309,0.032227,0.983887,-0.001953,0.099182,1.106262,0.076294 -2019-12-23 21:05:11.319,0.033691,0.981934,-0.000488,-0.083923,1.083374,0.099182 -2019-12-23 21:05:11.329,0.033691,0.983887,0.000488,-0.236511,1.068115,0.183105 -2019-12-23 21:05:11.340,0.033203,0.982910,-0.001953,-0.289917,1.045227,0.122070 -2019-12-23 21:05:11.350,0.035645,0.981934,-0.001953,-0.335693,1.098633,0.152588 -2019-12-23 21:05:11.359,0.033691,0.985352,0.002930,-0.335693,1.083374,0.122070 -2019-12-23 21:05:11.369,0.032227,0.984863,-0.000977,-0.396728,1.083374,0.114441 -2019-12-23 21:05:11.380,0.035156,0.984863,-0.000977,-0.251770,1.007080,0.129700 -2019-12-23 21:05:11.389,0.033691,0.980957,-0.000488,-0.167847,1.060486,0.175476 -2019-12-23 21:05:11.399,0.033691,0.982422,0.000977,-0.099182,1.182556,0.144958 -2019-12-23 21:05:11.409,0.031738,0.981934,0.000488,0.152588,1.144409,0.038147 -2019-12-23 21:05:11.420,0.034180,0.982422,-0.000488,0.175476,1.060486,0.061035 -2019-12-23 21:05:11.430,0.032715,0.981445,-0.002930,0.091553,1.106262,0.122070 -2019-12-23 21:05:11.440,0.034180,0.981445,-0.000488,0.053406,1.113892,0.083923 -2019-12-23 21:05:11.449,0.034668,0.981445,-0.001953,-0.053406,1.045227,0.045776 -2019-12-23 21:05:11.460,0.035156,0.985352,-0.000977,-0.099182,1.121521,0.068665 -2019-12-23 21:05:11.470,0.033691,0.981934,-0.000977,-0.091553,1.106262,0.076294 -2019-12-23 21:05:11.479,0.033203,0.981934,-0.002441,-0.022888,1.098633,0.099182 -2019-12-23 21:05:11.489,0.033691,0.982422,-0.001465,-0.160217,1.106262,0.076294 -2019-12-23 21:05:11.500,0.035156,0.984375,-0.001465,-0.251770,1.113892,0.053406 -2019-12-23 21:05:11.510,0.033691,0.983398,-0.000488,-0.236511,1.060486,0.015259 -2019-12-23 21:05:11.520,0.032227,0.983887,-0.001953,-0.068665,1.106262,0.061035 -2019-12-23 21:05:11.529,0.034180,0.981934,-0.001953,0.015259,0.999451,0.144958 -2019-12-23 21:05:11.539,0.033203,0.982422,0.000000,-0.015259,1.037598,0.167847 -2019-12-23 21:05:11.550,0.032715,0.982910,-0.003418,0.022888,1.113892,0.106812 -2019-12-23 21:05:11.559,0.032715,0.981934,-0.004395,0.015259,1.121521,0.152588 -2019-12-23 21:05:11.569,0.034668,0.981934,-0.003418,-0.114441,1.144409,0.068665 -2019-12-23 21:05:11.579,0.032715,0.986816,-0.000977,-0.213623,1.121521,0.114441 -2019-12-23 21:05:11.590,0.029785,0.980469,0.000000,-0.274658,1.106262,0.068665 -2019-12-23 21:05:11.600,0.032715,0.979492,-0.001953,-0.167847,1.098633,0.030518 -2019-12-23 21:05:11.610,0.035645,0.981445,-0.001953,-0.137329,1.144409,0.015259 -2019-12-23 21:05:11.619,0.034180,0.981934,-0.000977,-0.160217,1.136780,0.083923 -2019-12-23 21:05:11.630,0.035645,0.979980,-0.001953,-0.236511,1.083374,0.129700 -2019-12-23 21:05:11.640,0.034180,0.982910,-0.002930,-0.167847,1.075745,0.114441 -2019-12-23 21:05:11.649,0.031738,0.984375,-0.001465,-0.061035,1.083374,0.083923 -2019-12-23 21:05:11.659,0.033203,0.980469,-0.002441,-0.076294,1.190186,0.167847 -2019-12-23 21:05:11.670,0.034668,0.981445,-0.001465,-0.061035,1.152039,0.167847 -2019-12-23 21:05:11.680,0.033203,0.982422,0.000488,-0.122070,1.068115,0.083923 -2019-12-23 21:05:11.690,0.035645,0.982910,0.002441,-0.129700,1.037598,0.083923 -2019-12-23 21:05:11.699,0.034668,0.981445,0.000488,-0.251770,1.075745,0.122070 -2019-12-23 21:05:11.710,0.032227,0.982910,-0.000488,-0.320435,1.083374,0.030518 -2019-12-23 21:05:11.720,0.034668,0.983398,-0.000977,-0.350952,1.106262,0.091553 -2019-12-23 21:05:11.730,0.032227,0.982422,-0.001465,-0.328064,1.075745,0.068665 -2019-12-23 21:05:11.740,0.035156,0.984375,0.001465,-0.495911,1.152039,-0.007629 -2019-12-23 21:05:11.750,0.033691,0.982910,-0.000488,-0.541687,1.228333,0.091553 -2019-12-23 21:05:11.761,0.035156,0.981934,0.002441,-0.656128,1.136780,0.091553 -2019-12-23 21:05:11.771,0.031738,0.980469,0.000488,-0.312805,1.152039,0.129700 -2019-12-23 21:05:11.781,0.031250,0.982910,-0.001953,-0.083923,1.144409,0.099182 -2019-12-23 21:05:11.791,0.032227,0.983398,-0.001465,-0.007629,1.121521,0.099182 -2019-12-23 21:05:11.802,0.034668,0.982910,-0.001953,0.053406,1.167297,0.099182 -2019-12-23 21:05:11.812,0.033691,0.980957,-0.000977,0.091553,1.136780,0.129700 -2019-12-23 21:05:11.822,0.033691,0.981934,0.000977,0.167847,1.052856,0.083923 -2019-12-23 21:05:11.833,0.029785,0.982910,-0.000488,0.167847,1.068115,0.038147 -2019-12-23 21:05:11.843,0.032227,0.981445,0.000488,0.022888,1.098633,0.091553 -2019-12-23 21:05:11.853,0.031738,0.981445,-0.000488,0.038147,1.144409,0.053406 -2019-12-23 21:05:11.863,0.031250,0.982422,0.000000,0.061035,1.159668,0.091553 -2019-12-23 21:05:11.874,0.034180,0.982422,0.000000,-0.045776,1.113892,0.167847 -2019-12-23 21:05:11.884,0.033691,0.981934,0.000000,-0.106812,1.083374,0.167847 -2019-12-23 21:05:11.894,0.034180,0.983887,0.000488,-0.076294,1.152039,0.099182 -2019-12-23 21:05:11.904,0.034668,0.985352,0.000488,-0.427246,1.075745,0.083923 -2019-12-23 21:05:11.914,0.034668,0.983398,0.000488,-0.473022,1.106262,0.061035 -2019-12-23 21:05:11.925,0.032715,0.979980,-0.001953,-0.320435,1.075745,0.114441 -2019-12-23 21:05:11.935,0.031738,0.980469,-0.002441,-0.129700,1.029968,0.091553 -2019-12-23 21:05:11.945,0.034180,0.981934,-0.001465,0.030518,1.113892,0.068665 -2019-12-23 21:05:11.956,0.032715,0.982422,-0.000977,0.099182,1.144409,0.129700 -2019-12-23 21:05:11.966,0.031738,0.979980,-0.002441,0.053406,1.045227,0.152588 -2019-12-23 21:05:11.976,0.033691,0.981934,-0.002930,0.137329,1.098633,0.122070 -2019-12-23 21:05:11.986,0.031738,0.982422,-0.001465,0.152588,1.129150,0.030518 -2019-12-23 21:05:11.996,0.036621,0.982422,-0.000977,0.106812,1.121521,0.122070 -2019-12-23 21:05:12.007,0.035645,0.982422,-0.001465,0.144958,1.159668,0.106812 -2019-12-23 21:05:12.017,0.035156,0.983398,0.000000,-0.007629,1.152039,0.144958 -2019-12-23 21:05:12.027,0.034180,0.981934,-0.000977,-0.007629,1.129150,0.144958 -2019-12-23 21:05:12.038,0.032715,0.980957,-0.002930,0.045776,1.136780,0.099182 -2019-12-23 21:05:12.048,0.031250,0.982422,-0.003906,-0.045776,1.136780,0.091553 -2019-12-23 21:05:12.058,0.032715,0.982422,-0.000977,-0.190735,1.098633,0.083923 -2019-12-23 21:05:12.068,0.032227,0.982910,-0.000488,-0.190735,1.106262,0.099182 -2019-12-23 21:05:12.079,0.032715,0.983887,-0.001465,-0.076294,1.052856,0.076294 -2019-12-23 21:05:12.089,0.035156,0.979980,-0.000977,-0.190735,1.106262,0.076294 -2019-12-23 21:05:12.099,0.033691,0.979980,-0.001465,-0.221252,1.029968,0.099182 -2019-12-23 21:05:12.109,0.035156,0.983398,-0.001953,-0.358582,1.159668,0.114441 -2019-12-23 21:05:12.119,0.035156,0.980469,-0.000488,-0.427246,1.205444,0.114441 -2019-12-23 21:05:12.130,0.033203,0.980469,0.000000,-0.465393,1.129150,0.099182 -2019-12-23 21:05:12.140,0.033691,0.981934,-0.001953,-0.419617,1.068115,0.122070 -2019-12-23 21:05:12.149,0.033691,0.980469,0.000000,-0.320435,1.007080,0.160217 -2019-12-23 21:05:12.159,0.032715,0.981445,-0.001953,-0.381470,1.052856,0.144958 -2019-12-23 21:05:12.170,0.033691,0.983398,-0.001953,-0.312805,1.129150,0.167847 -2019-12-23 21:05:12.180,0.033203,0.983887,-0.001465,-0.274658,1.098633,0.144958 -2019-12-23 21:05:12.190,0.036133,0.981934,-0.000488,-0.083923,1.106262,0.053406 -2019-12-23 21:05:12.199,0.033203,0.982422,-0.001953,-0.045776,1.106262,0.114441 -2019-12-23 21:05:12.210,0.033691,0.982910,-0.002441,-0.038147,1.014709,0.122070 -2019-12-23 21:05:12.220,0.033691,0.982422,0.000000,0.106812,1.068115,0.061035 -2019-12-23 21:05:12.229,0.034180,0.981934,-0.000488,0.198364,1.205444,0.137329 -2019-12-23 21:05:12.239,0.034180,0.981445,-0.004883,0.091553,1.159668,0.198364 -2019-12-23 21:05:12.250,0.035645,0.983398,0.000977,-0.007629,1.129150,0.091553 -2019-12-23 21:05:12.260,0.035156,0.983398,0.000488,-0.083923,1.068115,0.030518 -2019-12-23 21:05:12.270,0.035645,0.981445,0.000488,-0.061035,1.113892,0.083923 -2019-12-23 21:05:12.279,0.035156,0.983398,-0.000488,-0.091553,1.136780,0.213623 -2019-12-23 21:05:12.289,0.031738,0.980957,0.000977,-0.213623,1.098633,0.122070 -2019-12-23 21:05:12.300,0.034180,0.980957,-0.000977,-0.061035,1.091003,0.122070 -2019-12-23 21:05:12.309,0.033691,0.981934,-0.001953,0.045776,1.083374,0.167847 -2019-12-23 21:05:12.319,0.033691,0.982422,0.000488,0.045776,1.129150,0.099182 -2019-12-23 21:05:12.329,0.033203,0.981445,0.000000,0.038147,1.022339,0.183105 -2019-12-23 21:05:12.340,0.033691,0.982422,0.000488,0.015259,1.060486,0.114441 -2019-12-23 21:05:12.350,0.036133,0.982422,0.002441,-0.091553,1.144409,0.122070 -2019-12-23 21:05:12.360,0.034668,0.982422,-0.000977,0.061035,1.075745,0.091553 -2019-12-23 21:05:12.369,0.034668,0.982910,-0.001953,0.114441,1.083374,0.091553 -2019-12-23 21:05:12.380,0.033203,0.981934,-0.002441,0.152588,1.113892,0.068665 -2019-12-23 21:05:12.390,0.033203,0.984863,-0.002441,0.144958,1.113892,0.099182 -2019-12-23 21:05:12.399,0.033691,0.983398,-0.001953,0.228882,1.098633,0.076294 -2019-12-23 21:05:12.409,0.034180,0.981445,-0.002441,0.129700,1.113892,0.114441 -2019-12-23 21:05:12.420,0.034668,0.984863,-0.002441,0.038147,1.106262,0.076294 -2019-12-23 21:05:12.430,0.032227,0.983887,-0.003906,0.000000,1.098633,0.053406 -2019-12-23 21:05:12.440,0.033691,0.982422,0.000000,-0.106812,1.121521,0.122070 -2019-12-23 21:05:12.449,0.031738,0.981934,-0.003418,-0.167847,1.197815,0.122070 -2019-12-23 21:05:12.460,0.031738,0.980469,-0.002930,-0.282288,1.205444,0.114441 -2019-12-23 21:05:12.470,0.034180,0.983398,-0.000977,-0.350952,1.083374,0.068665 -2019-12-23 21:05:12.479,0.034180,0.983887,-0.002441,-0.488281,1.159668,0.175476 -2019-12-23 21:05:12.489,0.033203,0.981934,-0.001953,-0.404358,1.098633,0.160217 -2019-12-23 21:05:12.500,0.031250,0.982910,-0.000488,-0.251770,1.075745,0.129700 -2019-12-23 21:05:12.510,0.033203,0.980957,0.000977,-0.328064,1.144409,0.045776 -2019-12-23 21:05:12.520,0.034668,0.982910,0.002441,-0.366211,1.075745,0.038147 -2019-12-23 21:05:12.529,0.035156,0.984863,0.000488,-0.373840,0.999451,0.122070 -2019-12-23 21:05:12.539,0.033203,0.985352,-0.000488,-0.228882,1.106262,0.152588 -2019-12-23 21:05:12.550,0.031250,0.980469,0.000000,-0.190735,1.167297,0.122070 -2019-12-23 21:05:12.559,0.032227,0.981934,0.000000,-0.175476,1.205444,0.099182 -2019-12-23 21:05:12.569,0.033691,0.984863,0.000488,-0.137329,1.098633,0.167847 -2019-12-23 21:05:12.579,0.033691,0.983398,0.000000,-0.045776,1.121521,0.114441 -2019-12-23 21:05:12.590,0.032227,0.983398,-0.002441,-0.083923,1.159668,0.091553 -2019-12-23 21:05:12.600,0.033203,0.983398,-0.000977,-0.099182,1.083374,0.152588 -2019-12-23 21:05:12.609,0.035645,0.982910,-0.000488,-0.122070,1.121521,0.190735 -2019-12-23 21:05:12.619,0.034180,0.983398,0.000488,-0.305176,1.106262,0.175476 -2019-12-23 21:05:12.630,0.033691,0.980957,-0.000488,-0.259399,1.052856,0.129700 -2019-12-23 21:05:12.640,0.033691,0.982910,-0.002930,-0.274658,1.068115,0.091553 -2019-12-23 21:05:12.649,0.033203,0.983887,0.000000,-0.366211,1.091003,0.091553 -2019-12-23 21:05:12.659,0.031250,0.981934,-0.000488,-0.732422,1.197815,0.122070 -2019-12-23 21:05:12.670,0.035645,0.980469,0.000488,-0.663757,1.106262,0.122070 -2019-12-23 21:05:12.680,0.033691,0.981445,0.000000,-0.320435,1.159668,0.106812 -2019-12-23 21:05:12.690,0.034668,0.983398,0.000488,-0.396728,1.121521,0.152588 -2019-12-23 21:05:12.699,0.033691,0.982422,0.001465,-0.320435,1.144409,0.114441 -2019-12-23 21:05:12.710,0.033691,0.982422,-0.000977,0.015259,1.182556,0.106812 -2019-12-23 21:05:12.720,0.035645,0.983887,-0.000488,0.068665,1.152039,0.144958 -2019-12-23 21:05:12.729,0.036133,0.981934,-0.001953,-0.267029,1.182556,0.122070 -2019-12-23 21:05:12.739,0.034180,0.982422,-0.003906,-1.487732,1.205444,0.160217 -2019-12-23 21:05:12.750,0.063965,0.980957,-0.039551,0.236511,13.290404,0.167847 -2019-12-23 21:05:12.760,-0.001465,0.984375,0.049805,0.801086,17.662048,0.114441 -2019-12-23 21:05:12.770,0.037109,0.979004,-0.004883,0.389099,-1.312256,0.053406 -2019-12-23 21:05:12.779,0.036621,0.983887,-0.005371,-0.045776,0.473022,0.053406 -2019-12-23 21:05:12.789,0.032715,0.991211,-0.000488,-0.648498,1.480102,0.152588 -2019-12-23 21:05:12.800,0.032715,0.980957,-0.002930,-0.785828,1.113892,0.175476 -2019-12-23 21:05:12.809,0.030273,0.974121,-0.003906,-0.778198,1.182556,0.152588 -2019-12-23 21:05:12.819,0.056641,0.983887,-0.045410,-1.663208,2.388000,0.167847 -2019-12-23 21:05:12.829,0.025391,0.989258,0.010742,-1.014709,19.104004,0.152588 -2019-12-23 21:05:12.840,0.043945,0.980957,-0.019043,-0.709534,13.473510,0.122070 -2019-12-23 21:05:12.850,0.037598,0.978516,-0.013672,-0.579834,18.867493,0.068665 -2019-12-23 21:05:12.860,0.026367,0.984375,0.012695,-0.701904,20.156858,0.022888 -2019-12-23 21:05:12.869,0.037598,0.982422,-0.010742,-0.511169,17.280579,-0.038147 -2019-12-23 21:05:12.880,0.026367,0.976563,0.016602,0.045776,18.974304,-0.045776 -2019-12-23 21:05:12.890,0.029297,0.982422,0.010254,-0.656128,13.519286,-0.007629 -2019-12-23 21:05:12.899,0.032715,0.986816,0.003906,-0.343323,10.887145,-0.015259 -2019-12-23 21:05:12.909,0.028809,0.983887,0.020996,0.442505,8.758545,-0.030518 -2019-12-23 21:05:12.920,0.031738,0.981934,0.009277,-0.587463,2.006531,0.022888 -2019-12-23 21:05:12.930,0.037109,0.984863,0.000488,-0.267029,0.595093,0.122070 -2019-12-23 21:05:12.940,0.035156,0.984375,0.001953,0.343323,1.045227,0.091553 -2019-12-23 21:05:12.950,0.033691,0.979004,0.002441,0.556946,1.022339,0.160217 -2019-12-23 21:05:12.961,0.033203,0.980957,0.001953,0.366211,1.136780,0.091553 -2019-12-23 21:05:12.971,0.030762,0.983887,0.000000,0.183105,1.182556,-0.015259 -2019-12-23 21:05:12.981,0.033203,0.981934,-0.000488,0.144958,1.167297,0.137329 -2019-12-23 21:05:12.991,0.032715,0.979980,0.002441,0.198364,1.174927,0.122070 -2019-12-23 21:05:13.001,0.033203,0.983887,0.001465,-0.045776,1.098633,0.122070 -2019-12-23 21:05:13.012,0.034668,0.983887,-0.000977,-0.167847,1.037598,0.144958 -2019-12-23 21:05:13.022,0.036133,0.981445,0.003418,-0.015259,1.052856,0.114441 -2019-12-23 21:05:13.032,0.035645,0.959961,-0.002441,-0.595093,1.022339,0.022888 -2019-12-23 21:05:13.043,0.035645,0.984375,0.001953,-2.342224,0.991821,-0.694275 -2019-12-23 21:05:13.053,0.031738,1.034180,0.003418,1.342773,1.388550,0.259399 -2019-12-23 21:05:13.063,0.035645,0.984375,-0.005859,0.701904,1.121521,0.465393 -2019-12-23 21:05:13.073,0.039063,0.927734,-0.006836,-0.389099,1.091003,0.183105 -2019-12-23 21:05:13.083,0.031250,0.995117,0.006348,-0.572205,1.106262,0.022888 -2019-12-23 21:05:13.094,0.029297,1.016113,0.007813,0.244141,1.144409,0.053406 -2019-12-23 21:05:13.104,0.037598,0.957520,-0.000977,0.518799,1.174927,0.160217 -2019-12-23 21:05:13.114,0.112305,0.928223,-0.014160,-0.061035,1.106262,0.038147 -2019-12-23 21:05:13.125,-0.014160,1.026855,0.011719,-1.586914,4.150391,0.114441 -2019-12-23 21:05:13.135,-0.006836,1.043457,0.010742,0.679016,2.182007,0.160217 -2019-12-23 21:05:13.145,0.050293,0.962891,-0.005371,1.327515,0.663757,0.320435 -2019-12-23 21:05:13.155,0.040039,0.938965,-0.008789,0.312805,1.029968,0.122070 -2019-12-23 21:05:13.166,0.028809,1.005859,0.002441,-0.160217,1.190186,0.083923 -2019-12-23 21:05:13.176,0.029785,0.996094,0.005859,0.274658,1.106262,0.160217 -2019-12-23 21:05:13.186,0.034668,0.954102,-0.002441,0.038147,1.113892,0.175476 -2019-12-23 21:05:13.196,0.033691,0.975586,-0.006836,-0.251770,1.098633,0.007629 -2019-12-23 21:05:13.207,0.071777,1.009766,0.022949,-1.014709,0.854492,0.045776 -2019-12-23 21:05:13.217,0.113770,0.977539,0.001465,-5.981445,0.900268,0.244141 -2019-12-23 21:05:13.227,0.146484,0.959961,0.020020,-3.730774,9.757996,0.053406 -2019-12-23 21:05:13.237,-0.015625,0.990723,0.004395,17.524719,23.292540,-0.686645 -2019-12-23 21:05:13.248,-0.089844,1.002441,-0.032715,14.503478,17.295837,-0.282288 -2019-12-23 21:05:13.258,-0.005371,0.968262,-0.020996,-3.723144,2.159119,0.259399 -2019-12-23 21:05:13.268,0.048340,0.983887,0.000977,-0.877380,-0.114441,0.175476 -2019-12-23 21:05:13.278,0.028809,1.000977,-0.001953,-0.007629,1.342773,0.129700 -2019-12-23 21:05:13.288,0.032715,0.979004,-0.007813,-0.495911,1.152039,0.175476 -2019-12-23 21:05:13.299,0.036621,0.970703,-0.004883,-0.465393,1.060486,0.144958 -2019-12-23 21:05:13.309,0.086914,0.983887,0.019043,0.885010,1.602173,0.022888 -2019-12-23 21:05:13.319,0.070313,0.984863,0.030273,2.906799,18.943787,-0.297546 -2019-12-23 21:05:13.329,-0.039063,0.973145,-0.038574,0.778198,21.774290,-0.274658 -2019-12-23 21:05:13.340,0.023926,0.980469,-0.017090,0.030518,1.846313,0.068665 -2019-12-23 21:05:13.350,0.042480,0.991211,0.014160,4.936218,-0.457764,-0.007629 -2019-12-23 21:05:13.360,0.032715,1.003418,-0.020020,27.038572,2.006531,-0.358582 -2019-12-23 21:05:13.369,0.031738,0.965820,-0.006836,5.897521,3.082275,0.045776 -2019-12-23 21:05:13.380,0.028320,0.978516,-0.027344,18.035889,1.693725,-0.190735 -2019-12-23 21:05:13.390,0.029297,0.992188,-0.015137,0.091553,2.815246,0.190735 -2019-12-23 21:05:13.399,0.035156,0.977539,-0.008789,0.526428,2.265930,0.114441 -2019-12-23 21:05:13.409,0.039551,0.979004,-0.023438,17.829895,1.152039,-0.381470 -2019-12-23 21:05:13.420,0.041504,0.988281,0.020996,7.148742,6.721496,-0.335693 -2019-12-23 21:05:13.430,0.032715,0.988281,-0.057129,0.823975,11.085509,-0.381470 -2019-12-23 21:05:13.440,0.111328,0.983887,0.052734,0.373840,1.167297,-0.190735 -2019-12-23 21:05:13.449,0.076172,0.985840,0.026367,0.747681,20.874022,-0.564575 -2019-12-23 21:05:13.460,-0.093750,0.980957,-0.131348,1.739502,18.531799,-0.488281 -2019-12-23 21:05:13.470,0.029297,0.979980,-0.022949,-0.617981,-0.289917,0.137329 -2019-12-23 21:05:13.479,0.041016,0.983398,-0.010254,-0.686645,0.099182,0.106812 -2019-12-23 21:05:13.489,0.027832,0.988281,-0.021484,-0.846863,1.388550,0.137329 -2019-12-23 21:05:13.500,0.032715,0.980469,-0.018555,-1.136780,1.068115,0.144958 -2019-12-23 21:05:13.510,0.030273,0.984375,-0.018555,-1.754761,1.037598,0.167847 -2019-12-23 21:05:13.520,0.030273,0.989746,-0.018066,-2.258301,1.182556,0.228882 -2019-12-23 21:05:13.530,0.037598,0.904297,-0.050293,-5.523681,1.220703,0.167847 -2019-12-23 21:05:13.539,0.037598,0.974609,0.020996,-45.829769,1.106262,0.526428 -2019-12-23 21:05:13.550,0.036133,1.110352,0.008789,-5.455017,1.411438,-0.221252 -2019-12-23 21:05:13.560,0.078125,1.008789,-0.021973,7.629394,3.341675,0.328064 -2019-12-23 21:05:13.569,0.061035,0.880859,-0.020508,3.753662,14.099120,0.106812 -2019-12-23 21:05:13.579,-0.011230,0.987305,-0.009766,-0.236511,17.692566,-0.396728 -2019-12-23 21:05:13.590,0.001465,1.044922,-0.004395,-2.151489,3.974914,-0.099182 -2019-12-23 21:05:13.600,0.036621,0.946777,-0.010742,-2.807617,-0.267029,0.328064 -2019-12-23 21:05:13.610,0.036621,0.935059,-0.054199,-2.372742,4.669189,0.137329 -2019-12-23 21:05:13.619,0.021973,1.026367,0.020020,-0.816345,18.722534,-0.213623 -2019-12-23 21:05:13.630,0.028320,1.014648,-0.020508,-0.968933,11.070251,0.068665 -2019-12-23 21:05:13.640,0.044434,0.948730,-0.011230,-6.134033,11.047362,0.244141 -2019-12-23 21:05:13.649,0.036621,0.963867,0.017090,-21.339415,5.088806,0.480652 -2019-12-23 21:05:13.659,0.030273,1.023926,0.001953,-0.289917,0.534058,0.053406 -2019-12-23 21:05:13.670,0.035156,0.978027,-0.002930,2.670288,0.885010,0.282288 -2019-12-23 21:05:13.680,0.041016,0.946777,-0.006348,1.083374,1.213074,0.228882 -2019-12-23 21:05:13.690,0.036621,0.999023,-0.006836,1.533508,1.029968,0.000000 -2019-12-23 21:05:13.699,0.033691,1.015625,-0.004883,1.869202,0.984192,0.068665 -2019-12-23 21:05:13.710,0.029785,0.961914,-0.007324,1.174927,1.335144,0.205994 -2019-12-23 21:05:13.720,0.031738,0.960938,-0.007324,0.587463,1.083374,0.106812 -2019-12-23 21:05:13.729,0.026855,1.006836,-0.002930,0.419617,0.946045,0.053406 -2019-12-23 21:05:13.740,0.030762,0.992188,-0.006836,0.411987,1.068115,0.152588 -2019-12-23 21:05:13.750,0.041992,0.961426,0.006836,-1.640320,-0.541687,0.228882 -2019-12-23 21:05:13.760,0.028320,0.985352,-0.024902,-2.243042,-1.846313,0.144958 -2019-12-23 21:05:13.770,0.030762,1.002441,-0.002441,0.236511,1.304626,0.030518 -2019-12-23 21:05:13.781,0.033203,0.973633,-0.002441,0.030518,1.159668,0.106812 -2019-12-23 21:05:13.791,0.035645,0.970215,-0.003906,-0.335693,0.961304,0.053406 -2019-12-23 21:05:13.801,0.034668,0.994629,-0.000488,0.083923,1.029968,0.122070 -2019-12-23 21:05:13.812,0.039063,0.989746,0.011719,-1.487732,-3.791809,0.259399 -2019-12-23 21:05:13.822,0.032227,0.971680,-0.022949,-0.656128,-3.776550,0.183105 -2019-12-23 21:05:13.832,0.038574,0.980957,0.004395,-0.625610,-2.929687,0.129700 -2019-12-23 21:05:13.842,0.032227,0.993652,0.000977,-0.930786,-5.187988,0.198364 -2019-12-23 21:05:13.853,0.028809,0.980957,-0.010254,-0.831604,-5.134582,0.221252 -2019-12-23 21:05:13.863,0.029785,0.976074,-0.015625,-0.221252,-2.082825,0.221252 -2019-12-23 21:05:13.873,0.035645,0.988281,-0.004883,-0.038147,1.152039,0.114441 -2019-12-23 21:05:13.883,0.035156,0.986328,-0.003906,-0.564575,0.885010,0.068665 -2019-12-23 21:05:13.894,0.033691,0.977051,-0.005371,-0.762939,0.839233,0.061035 -2019-12-23 21:05:13.904,0.033203,0.979004,-0.004883,-0.640869,1.029968,0.068665 -2019-12-23 21:05:13.914,0.030762,0.987793,-0.003418,-0.511169,0.991821,0.022888 -2019-12-23 21:05:13.924,0.030762,0.982910,-0.005371,-0.129700,1.045227,0.106812 -2019-12-23 21:05:13.934,0.031250,0.984863,-0.003418,0.366211,0.999451,0.122070 -2019-12-23 21:05:13.945,0.035156,0.986328,-0.004395,0.473022,0.968933,0.152588 -2019-12-23 21:05:13.955,0.045410,0.983887,0.012207,-0.686645,-1.449585,0.312805 -2019-12-23 21:05:13.965,0.025879,0.979492,-0.021484,-1.144409,-3.723144,0.282288 -2019-12-23 21:05:13.975,0.036133,0.980957,-0.001465,-0.221252,1.304626,0.076294 -2019-12-23 21:05:13.986,0.033691,0.990723,-0.004395,-0.434875,1.152039,0.076294 -2019-12-23 21:05:13.996,0.033691,0.991211,-0.009277,-0.320435,0.991821,0.160217 -2019-12-23 21:05:14.006,0.032227,0.977539,-0.004395,-0.099182,1.113892,0.244141 -2019-12-23 21:05:14.017,0.030762,0.976074,-0.004395,-0.038147,1.060486,0.190735 -2019-12-23 21:05:14.027,0.029297,0.988281,-0.005371,-0.053406,1.068115,0.091553 -2019-12-23 21:05:14.037,0.032227,0.982910,-0.005859,-0.129700,1.014709,0.083923 -2019-12-23 21:05:14.047,0.033691,0.978516,-0.006836,-0.419617,1.060486,0.030518 -2019-12-23 21:05:14.058,0.033691,0.988281,-0.008301,-0.213623,1.022339,0.038147 -2019-12-23 21:05:14.068,0.034180,0.989746,-0.004883,-0.015259,0.999451,0.038147 -2019-12-23 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21:05:15.852,0.003418,-0.020996,1.006836,-0.152588,1.747131,0.015259 -2019-12-23 21:05:15.862,0.006348,-0.019531,1.005371,0.160217,1.647949,-0.068665 -2019-12-23 21:05:15.873,0.001953,-0.021973,1.007813,-0.297546,1.541138,-0.053406 -2019-12-23 21:05:15.883,0.000977,-0.020508,1.004883,-1.274109,1.106262,0.068665 -2019-12-23 21:05:15.893,0.000977,-0.021484,1.002441,-2.235413,0.823975,0.114441 -2019-12-23 21:05:15.903,0.002930,-0.021973,1.007324,-1.785278,0.671387,0.328064 -2019-12-23 21:05:15.913,0.004395,-0.025391,1.010742,-0.350952,1.182556,0.396728 -2019-12-23 21:05:15.924,0.007324,-0.022949,1.010742,1.152039,1.243591,1.502991 -2019-12-23 21:05:15.934,0.059570,-0.056641,0.998047,1.632690,1.235962,10.513305 -2019-12-23 21:05:15.944,0.022949,-0.035156,1.004883,2.731323,1.632690,36.437988 -2019-12-23 21:05:15.954,0.013184,-0.030273,1.007813,1.213074,1.670837,48.233028 -2019-12-23 21:05:15.965,0.012207,-0.024414,1.006348,1.640320,1.853943,55.213924 -2019-12-23 21:05:15.975,0.030762,-0.028809,1.011719,1.159668,1.899719,61.546322 -2019-12-23 21:05:15.985,-0.029785,0.000000,0.995117,-1.449585,1.663208,66.802979 -2019-12-23 21:05:15.996,-0.001953,-0.015625,1.001953,-0.366211,0.869751,50.041195 -2019-12-23 21:05:16.006,-0.008789,-0.011230,1.012695,0.160217,1.426697,46.646114 -2019-12-23 21:05:16.016,-0.018066,-0.003906,1.014160,-0.045776,2.044678,36.277771 -2019-12-23 21:05:16.026,-0.002930,-0.015625,1.012207,0.381470,2.151489,23.315428 -2019-12-23 21:05:16.037,0.005859,-0.017578,1.009277,1.060486,1.754761,17.822266 -2019-12-23 21:05:16.047,-0.002441,-0.016113,0.998047,1.205444,1.136780,17.570496 -2019-12-23 21:05:16.057,0.000488,-0.020996,0.998047,2.182007,1.228333,15.533446 -2019-12-23 21:05:16.067,0.084473,-0.038574,1.013184,3.417969,1.754761,18.310547 -2019-12-23 21:05:16.077,0.012207,-0.014160,1.006348,-1.213074,0.106812,34.614563 -2019-12-23 21:05:16.088,0.007324,-0.033203,1.004883,-0.656128,1.403808,35.781860 -2019-12-23 21:05:16.098,0.062012,-0.001465,1.023438,-3.051758,1.350403,42.625423 -2019-12-23 21:05:16.108,0.046875,0.006836,1.000977,-7.888793,0.564575,27.099607 -2019-12-23 21:05:16.118,-0.246582,-0.020508,0.983887,-6.492614,-1.609802,23.918150 -2019-12-23 21:05:16.129,0.042969,-0.016602,1.000000,0.572205,0.564575,16.189575 -2019-12-23 21:05:16.139,0.022461,-0.029297,1.005371,2.525329,-0.694275,15.869140 -2019-12-23 21:05:16.149,0.003906,-0.020020,1.012207,3.868103,-0.839233,20.416258 -2019-12-23 21:05:16.159,-0.002441,-0.015137,1.011230,2.197266,-0.122070,22.308348 -2019-12-23 21:05:16.170,0.006348,-0.005859,1.023926,2.120972,1.106262,12.870788 -2019-12-23 21:05:16.180,-0.012695,-0.003906,1.009766,2.098083,2.204895,9.178162 -2019-12-23 21:05:16.190,0.001953,-0.017090,0.998535,-3.890991,-1.129150,4.096985 -2019-12-23 21:05:16.200,0.004883,-0.019531,1.000000,-4.325867,-0.907898,1.907349 -2019-12-23 21:05:16.209,0.005859,-0.015137,1.013672,-0.823975,1.403808,0.602722 -2019-12-23 21:05:16.219,0.003418,-0.018066,1.008301,-2.716064,0.968933,0.083923 -2019-12-23 21:05:16.229,0.005859,-0.023926,0.999512,-3.440857,0.106812,-0.747681 -2019-12-23 21:05:16.239,0.001953,-0.021973,1.007324,-0.984192,0.511169,-0.762939 -2019-12-23 21:05:16.250,0.002441,-0.022949,1.010254,0.198364,0.625610,-1.197815 -2019-12-23 21:05:16.260,0.005859,-0.021484,1.005371,1.449585,0.923157,-1.747131 -2019-12-23 21:05:16.270,0.002441,-0.020020,1.004883,2.853393,1.228333,-2.883911 -2019-12-23 21:05:16.280,-0.001465,-0.020020,1.012695,5.027771,1.342773,-6.088256 -2019-12-23 21:05:16.290,0.003906,-0.020020,1.008789,6.263732,0.946045,-10.360717 -2019-12-23 21:05:16.299,0.003906,-0.017578,1.004395,5.668640,0.869751,-12.039184 -2019-12-23 21:05:16.309,0.064453,-0.036621,1.018066,3.311157,0.610352,-15.121459 -2019-12-23 21:05:16.319,-0.029297,0.000488,1.001465,-3.807068,-3.799438,-22.872923 -2019-12-23 21:05:16.329,-0.033203,0.000000,1.004883,-0.816345,0.373840,-16.716003 -2019-12-23 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21:05:17.308,0.005371,-0.015625,0.994629,1.068115,1.083374,0.183105 -2019-12-23 21:05:17.318,0.005371,-0.012695,1.000977,1.419067,1.579285,0.091553 -2019-12-23 21:05:17.329,0.003906,-0.014648,1.019531,-0.053406,0.930786,0.007629 -2019-12-23 21:05:17.339,0.003418,-0.018066,1.008301,-2.113342,0.534058,0.137329 -2019-12-23 21:05:17.349,0.002930,-0.020508,0.990723,-2.998352,1.022339,0.076294 -2019-12-23 21:05:17.359,0.001953,-0.019531,1.009277,-3.288269,1.266479,0.007629 -2019-12-23 21:05:17.370,0.007324,-0.020508,1.017578,-2.372742,1.243591,0.000000 -2019-12-23 21:05:17.380,0.005371,-0.017578,1.000488,2.845764,0.869751,-0.061035 -2019-12-23 21:05:17.389,0.003418,-0.020996,1.000000,-0.816345,1.556396,0.068665 -2019-12-23 21:05:17.399,0.000488,-0.020996,1.014648,-0.244141,1.411438,0.228882 -2019-12-23 21:05:17.409,0.000000,-0.018066,1.005371,1.045227,1.068115,0.183105 -2019-12-23 21:05:17.420,0.001465,-0.017090,0.996582,0.999451,0.991821,0.114441 -2019-12-23 21:05:17.430,0.001953,-0.018066,1.010254,0.724792,1.037598,0.122070 -2019-12-23 21:05:17.440,0.003418,-0.018066,1.011719,0.541687,1.037598,0.198364 -2019-12-23 21:05:17.450,0.005859,-0.019531,1.004395,1.266479,1.052856,0.259399 -2019-12-23 21:05:17.459,0.002930,-0.019043,1.008789,1.884460,1.029968,0.389099 -2019-12-23 21:05:17.469,0.002930,-0.016113,1.015625,1.556396,0.976562,0.640869 -2019-12-23 21:05:17.479,0.000488,-0.015625,1.007813,1.159668,1.136780,1.037598 -2019-12-23 21:05:17.489,0.002930,-0.016113,1.000000,0.320435,0.984192,0.114441 -2019-12-23 21:05:17.500,0.001465,-0.017578,1.007324,0.343323,1.060486,-0.068665 -2019-12-23 21:05:17.510,0.004883,-0.019043,1.013184,1.289368,1.335144,0.305176 -2019-12-23 21:05:17.520,0.012695,-0.022461,1.002930,1.663208,1.579285,1.289368 -2019-12-23 21:05:17.530,0.012207,-0.027344,1.002930,2.143860,1.594543,7.148742 -2019-12-23 21:05:17.540,0.003906,-0.017578,1.010742,2.258301,1.663208,12.870788 -2019-12-23 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21:05:17.790,0.068359,-0.086914,1.016113,-0.205994,2.143860,40.069580 -2019-12-23 21:05:17.799,0.013184,-0.027832,1.008789,-5.012512,-0.900268,48.301693 -2019-12-23 21:05:17.809,-0.053223,0.065918,1.000000,-2.014160,1.823425,41.061398 -2019-12-23 21:05:17.819,-0.039063,0.036133,1.004883,0.953674,4.096985,22.132872 -2019-12-23 21:05:17.829,0.012695,-0.024414,1.016113,0.312805,2.311707,14.190673 -2019-12-23 21:05:17.840,0.081543,-0.080078,1.012207,-2.082825,0.183105,21.720884 -2019-12-23 21:05:17.850,-0.095215,0.067383,0.997070,-1.800537,-0.717163,31.387327 -2019-12-23 21:05:17.860,-0.009277,-0.003418,0.998047,0.442505,2.067566,7.598876 -2019-12-23 21:05:17.869,0.007324,-0.025391,1.008301,-0.480652,1.129150,2.593994 -2019-12-23 21:05:17.880,0.000488,-0.016602,1.010742,0.648498,0.457764,2.914428 -2019-12-23 21:05:17.889,0.012695,-0.024902,1.001465,1.686096,0.305176,2.479553 -2019-12-23 21:05:17.899,0.006348,-0.018066,1.005859,1.373291,0.244141,7.148742 -2019-12-23 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21:05:30.260,0.020996,0.983887,0.028320,14.213561,1.075745,5.050659 -2019-12-23 21:05:30.270,0.024414,0.989258,0.026367,10.284423,0.648498,3.265381 -2019-12-23 21:05:30.280,0.023438,0.977539,0.027344,4.180908,-0.167847,1.533508 -2019-12-23 21:05:30.290,0.018066,0.974609,0.024414,-2.189636,-1.487732,0.022888 -2019-12-23 21:05:30.300,0.019531,0.980469,0.025391,-4.493713,0.396728,-0.633240 -2019-12-23 21:05:30.310,0.016602,0.983887,0.029297,-5.340576,0.907898,-2.403259 -2019-12-23 21:05:30.320,0.024414,0.984375,0.031738,-7.141113,0.617981,-4.287720 -2019-12-23 21:05:30.330,0.024902,0.985352,0.035156,-7.118225,0.755310,-3.791809 -2019-12-23 21:05:30.341,0.026367,0.983398,0.038574,-5.256652,0.823975,-2.487183 -2019-12-23 21:05:30.351,0.023926,0.977539,0.036621,-1.632690,0.991821,-0.419617 -2019-12-23 21:05:30.361,0.020020,0.979004,0.032715,0.000000,1.098633,0.213623 -2019-12-23 21:05:30.371,0.019531,0.983887,0.033691,-0.366211,1.075745,-0.114441 -2019-12-23 21:05:30.382,0.021484,0.980469,0.032715,-0.366211,1.098633,0.015259 -2019-12-23 21:05:30.392,0.023438,0.979980,0.033691,-0.122070,1.129150,0.076294 -2019-12-23 21:05:30.402,0.019531,0.979004,0.033203,0.045776,1.121521,0.106812 -2019-12-23 21:05:30.413,0.018066,0.979004,0.033691,0.152588,1.083374,0.137329 -2019-12-23 21:05:30.423,0.025879,0.979492,0.035156,0.205994,1.113892,0.106812 -2019-12-23 21:05:30.433,0.054199,0.974609,0.038574,4.272461,1.441955,0.213623 -2019-12-23 21:05:30.443,-0.146973,0.990723,0.031738,3.204345,1.091003,0.144958 -2019-12-23 21:05:30.454,0.060547,0.983398,0.036621,-0.511169,0.907898,0.167847 -2019-12-23 21:05:30.464,0.111328,0.968750,0.047363,1.716614,1.144409,0.259399 -2019-12-23 21:05:30.474,-0.108398,0.987305,0.020508,6.355285,1.319885,0.190735 -2019-12-23 21:05:30.484,0.016602,0.988281,0.033203,0.015259,0.854492,0.091553 -2019-12-23 21:05:30.494,0.033691,0.979980,0.033691,-0.381470,0.923157,0.129700 -2019-12-23 21:05:30.505,0.136230,0.972656,0.037109,1.174927,1.152039,0.251770 -2019-12-23 21:05:30.515,-0.075195,0.984863,0.027344,1.327515,1.083374,0.183105 -2019-12-23 21:05:30.525,0.031250,0.984863,0.028809,-0.427246,0.907898,-0.053406 -2019-12-23 21:05:30.535,0.028320,0.978516,0.031738,-0.366211,0.984192,0.061035 -2019-12-23 21:05:30.546,0.019043,0.976563,0.030273,-0.244141,1.037598,0.061035 -2019-12-23 21:05:30.556,0.019531,0.983398,0.029785,-0.358582,0.984192,0.015259 -2019-12-23 21:05:30.566,0.019043,0.982422,0.030762,-0.396728,0.999451,0.015259 -2019-12-23 21:05:30.576,0.020508,0.981934,0.030762,-0.259399,1.052856,0.083923 -2019-12-23 21:05:30.587,0.021484,0.983398,0.031738,-0.198364,1.075745,0.007629 -2019-12-23 21:05:30.597,0.020996,0.979980,0.029785,-0.335693,1.029968,0.038147 -2019-12-23 21:05:30.607,0.021484,0.978516,0.030273,-0.175476,1.075745,-0.022888 -2019-12-23 21:05:30.618,0.020996,0.981934,0.030273,-0.022888,1.052856,0.076294 -2019-12-23 21:05:30.628,0.019043,0.980957,0.030762,-0.015259,0.930786,0.076294 -2019-12-23 21:05:30.638,0.019531,0.981934,0.030273,-0.053406,0.991821,0.083923 -2019-12-23 21:05:30.648,0.020020,0.981934,0.030762,-0.221252,1.029968,0.122070 -2019-12-23 21:05:30.659,0.020508,0.980469,0.031250,-0.320435,0.991821,0.114441 -2019-12-23 21:05:30.669,0.020996,0.980469,0.033203,-0.442505,1.022339,0.106812 -2019-12-23 21:05:30.679,0.019531,0.982422,0.031250,-0.419617,0.946045,-0.083923 -2019-12-23 21:05:30.689,0.022949,0.980957,0.029785,-0.762939,1.068115,-0.068665 -2019-12-23 21:05:30.700,0.099121,0.988281,0.021484,-7.369995,1.083374,-0.022888 -2019-12-23 21:05:30.709,0.044922,0.990723,0.038574,-9.162903,0.999451,-0.015259 -2019-12-23 21:05:30.719,-0.008789,0.978516,0.036133,-11.199950,1.045227,-0.068665 -2019-12-23 21:05:30.729,0.018066,0.981445,0.036621,-12.153625,0.999451,-0.007629 -2019-12-23 21:05:30.739,0.035645,0.984863,0.039063,-9.811401,0.823975,-0.122070 -2019-12-23 21:05:30.750,0.041016,0.979492,0.043945,-11.238097,0.839233,-0.518799 -2019-12-23 21:05:30.760,-0.025391,0.973633,0.047363,-10.307311,0.747681,-0.595093 -2019-12-23 21:05:30.770,0.028809,0.980957,0.043945,-5.973815,0.854492,0.175476 -2019-12-23 21:05:30.780,-0.016113,0.974609,0.050293,-3.341675,0.930786,0.305176 -2019-12-23 21:05:30.790,0.128418,0.987305,0.045410,-0.259399,1.014709,-0.045776 -2019-12-23 21:05:30.799,-0.035645,0.974121,0.042969,-3.669739,1.098633,-0.259399 -2019-12-23 21:05:30.809,-0.015137,0.980957,0.046875,-1.037598,0.846863,-0.015259 -2019-12-23 21:05:30.819,0.111816,0.975098,0.047852,-0.114441,1.091003,0.289917 -2019-12-23 21:05:30.829,-0.042480,0.978516,0.045898,-0.190735,1.152039,0.518799 -2019-12-23 21:05:30.840,0.041504,0.982422,0.047363,0.251770,0.999451,0.076294 -2019-12-23 21:05:30.850,0.039551,0.976563,0.043457,1.998901,1.205444,0.320435 -2019-12-23 21:05:30.860,-0.034668,0.982910,0.043457,1.472473,0.938415,0.152588 -2019-12-23 21:05:30.870,0.031738,0.983398,0.047363,-0.549316,0.862122,0.160217 -2019-12-23 21:05:30.880,0.022461,0.977051,0.042969,-0.411987,1.014709,0.274658 -2019-12-23 21:05:30.889,0.019043,0.977051,0.043945,-0.267029,1.022339,0.137329 -2019-12-23 21:05:30.899,0.019531,0.983398,0.045410,-0.244141,1.014709,0.076294 -2019-12-23 21:05:30.909,0.018555,0.983887,0.045410,-0.343323,1.029968,0.175476 -2019-12-23 21:05:30.920,0.022461,0.979492,0.043457,-0.122070,1.106262,0.259399 -2019-12-23 21:05:30.930,0.019531,0.976563,0.043457,-0.244141,1.144409,0.213623 -2019-12-23 21:05:30.940,0.020020,0.979004,0.044434,-0.160217,1.136780,0.167847 -2019-12-23 21:05:30.950,0.020508,0.979980,0.041992,0.091553,1.174927,0.106812 -2019-12-23 21:05:30.959,0.020020,0.982422,0.049805,0.221252,1.296997,0.183105 -2019-12-23 21:05:30.969,0.021484,0.980957,0.046875,-0.946045,1.472473,0.389099 -2019-12-23 21:05:30.979,0.020020,0.979980,0.039063,-1.091003,1.625061,0.427246 -2019-12-23 21:05:30.989,0.017578,0.979980,0.044434,-0.404358,1.396179,0.381470 -2019-12-23 21:05:31.000,0.019531,0.979980,0.042480,-0.411987,1.258850,0.381470 -2019-12-23 21:05:31.010,0.022949,0.979492,0.041016,-0.083923,1.091003,0.312805 -2019-12-23 21:05:31.020,0.023926,0.978516,0.042480,0.091553,0.915527,0.259399 -2019-12-23 21:05:31.030,0.034668,0.979492,0.060059,-0.373840,0.679016,0.167847 -2019-12-23 21:05:31.040,0.031738,0.982910,0.093750,-0.930786,-17.524719,-0.549316 -2019-12-23 21:05:31.049,0.002930,0.979492,-0.001465,-0.991821,-20.233152,-0.839233 -2019-12-23 21:05:31.059,0.026855,0.980957,0.061035,-0.297546,-5.699157,-0.244141 -2019-12-23 21:05:31.069,0.010254,0.986816,0.024414,-0.114441,-8.972168,-0.381470 -2019-12-23 21:05:31.079,0.022461,0.979492,0.039551,0.007629,0.640869,0.038147 -2019-12-23 21:05:31.090,0.023438,0.980957,0.048340,0.167847,1.869202,0.251770 -2019-12-23 21:05:31.100,0.019531,0.990723,0.041992,0.099182,0.877380,0.267029 -2019-12-23 21:05:31.110,0.020508,0.977051,0.048828,-1.060486,0.984192,0.106812 -2019-12-23 21:05:31.120,0.018066,0.960938,0.045410,-0.823975,1.022339,0.045776 -2019-12-23 21:05:31.130,0.017090,0.982422,0.041992,0.320435,1.075745,-0.030518 -2019-12-23 21:05:31.139,0.017578,1.000977,0.043457,0.114441,1.037598,0.038147 -2019-12-23 21:05:31.149,0.025879,0.978027,0.042480,-0.068665,0.976562,0.320435 -2019-12-23 21:05:31.159,0.025879,0.967285,0.043945,0.068665,1.106262,0.183105 -2019-12-23 21:05:31.170,0.017578,0.987305,0.047363,0.045776,1.052856,0.061035 -2019-12-23 21:05:31.180,0.013672,0.984863,0.047363,-0.061035,0.976562,0.091553 -2019-12-23 21:05:31.190,0.018066,0.970703,0.045898,-0.213623,0.961304,0.083923 -2019-12-23 21:05:31.200,0.024902,0.979980,0.044922,-0.633240,1.014709,-0.099182 -2019-12-23 21:05:31.209,0.060059,0.983887,0.121094,-0.434875,-0.968933,-0.228882 -2019-12-23 21:05:31.219,0.009766,0.980957,0.048340,-0.541687,-38.719177,-1.876831 -2019-12-23 21:05:31.229,0.000000,0.977051,0.005859,-0.091553,-23.796080,-1.037598 -2019-12-23 21:05:31.239,0.031738,0.979492,0.074707,0.473022,-9.666443,-0.320435 -2019-12-23 21:05:31.250,0.003906,0.981934,0.002441,0.114441,-14.053344,-0.610352 -2019-12-23 21:05:31.260,0.021973,0.975586,0.041992,0.282288,0.602722,0.000000 -2019-12-23 21:05:31.270,0.024902,0.984375,0.049805,0.030518,2.075195,0.091553 -2019-12-23 21:05:31.280,0.020996,0.982910,0.046875,-0.045776,0.816345,0.045776 -2019-12-23 21:05:31.290,0.021484,0.976563,0.047852,0.144958,1.007080,0.198364 -2019-12-23 21:05:31.299,0.022461,0.978516,0.047363,0.122070,1.029968,0.160217 -2019-12-23 21:05:31.309,0.019531,0.979980,0.046387,0.007629,1.029968,0.129700 -2019-12-23 21:05:31.319,0.020508,0.979004,0.043457,-0.114441,1.129150,0.076294 -2019-12-23 21:05:31.329,0.022949,0.981934,0.045410,-0.274658,1.197815,-0.038147 -2019-12-23 21:05:31.340,0.023438,0.983398,0.043945,-0.358582,1.152039,0.030518 -2019-12-23 21:05:31.350,0.021484,0.979980,0.043457,-0.389099,1.182556,0.091553 -2019-12-23 21:05:31.360,0.021484,0.980469,0.043945,-0.381470,1.144409,0.152588 -2019-12-23 21:05:31.370,0.019043,0.983398,0.046387,-0.282288,1.167297,0.068665 -2019-12-23 21:05:31.380,0.016113,0.982910,0.042969,-0.228882,1.091003,0.083923 -2019-12-23 21:05:31.389,0.019531,0.975098,0.043457,0.007629,1.014709,0.228882 -2019-12-23 21:05:31.399,0.020020,0.977051,0.045410,0.274658,1.045227,0.175476 -2019-12-23 21:05:31.409,0.020508,0.979980,0.044922,0.389099,0.984192,0.122070 -2019-12-23 21:05:31.420,0.020996,0.979004,0.043945,0.251770,1.037598,0.129700 -2019-12-23 21:05:31.430,0.021973,0.976074,0.043457,-0.083923,1.037598,0.122070 -2019-12-23 21:05:31.440,0.020508,0.979980,0.041504,-0.137329,1.068115,0.068665 -2019-12-23 21:05:31.450,0.022949,0.983887,0.038574,0.480652,0.839233,0.038147 -2019-12-23 21:05:31.459,0.023438,0.983887,0.047363,1.441955,0.770569,0.122070 -2019-12-23 21:05:31.469,0.026367,0.979004,0.045410,0.694275,0.755310,0.114441 -2019-12-23 21:05:31.479,0.098145,0.974609,0.013672,1.571655,0.068665,0.045776 -2019-12-23 21:05:31.489,-0.072754,0.979492,0.101074,1.113892,0.183105,-0.045776 -2019-12-23 21:05:31.500,0.023438,0.984863,0.042480,0.061035,1.358032,0.175476 -2019-12-23 21:05:31.510,0.025879,0.974121,0.040039,0.396728,1.159668,0.160217 -2019-12-23 21:05:31.520,0.015625,0.976563,0.043945,0.640869,0.923157,-0.022888 -2019-12-23 21:05:31.530,0.018555,0.984375,0.041992,0.785828,1.007080,0.038147 -2019-12-23 21:05:31.541,0.088379,0.971191,0.052246,6.805419,0.991821,0.633240 -2019-12-23 21:05:31.551,0.012207,0.982910,0.046387,11.520385,1.129150,0.633240 -2019-12-23 21:05:31.561,0.041504,0.979492,0.035156,9.750366,1.274109,0.221252 -2019-12-23 21:05:31.571,0.043945,0.979004,0.030762,13.221740,1.319885,-0.350952 -2019-12-23 21:05:31.582,0.000488,0.984375,0.041504,15.113830,1.518249,1.014709 -2019-12-23 21:05:31.592,0.027344,0.985352,0.034180,17.463684,6.164550,4.280090 -2019-12-23 21:05:31.602,0.006836,0.982422,0.041504,18.661499,10.406493,4.776001 -2019-12-23 21:05:31.612,0.020996,0.978516,0.038574,16.662598,9.437561,4.173279 -2019-12-23 21:05:31.623,0.013672,0.979980,0.057129,13.618468,17.433167,2.830505 -2019-12-23 21:05:31.633,0.013672,0.986328,0.027832,8.934021,24.024961,1.365662 -2019-12-23 21:05:31.643,0.031738,0.987305,0.012695,9.506226,24.436949,0.312805 -2019-12-23 21:05:31.653,0.026367,0.984375,0.005859,15.304564,24.612425,1.083374 -2019-12-23 21:05:31.663,0.015625,0.988281,0.002930,17.982483,17.211914,2.075195 -2019-12-23 21:05:31.674,0.011719,0.984863,0.000977,19.599915,10.375976,2.189636 -2019-12-23 21:05:31.684,0.006348,0.976563,0.004395,17.417908,6.149292,2.082825 -2019-12-23 21:05:31.694,0.014648,0.979980,0.001953,11.779784,1.358032,1.670837 -2019-12-23 21:05:31.704,0.018066,0.977539,0.005371,7.606506,0.221252,0.022888 -2019-12-23 21:05:31.715,0.007813,0.980957,-0.063965,5.966186,-7.461547,-1.014709 -2019-12-23 21:05:31.725,0.025879,0.977051,0.033203,9.384155,-24.208067,-2.090454 -2019-12-23 21:05:31.735,0.001953,0.989746,0.002930,1.434326,-21.446226,-0.953674 -2019-12-23 21:05:31.746,0.020020,0.998047,-0.048340,8.392334,-31.074522,1.281738 -2019-12-23 21:05:31.756,0.014160,0.965820,-0.012207,19.836426,-44.837948,1.235962 -2019-12-23 21:05:31.766,0.033691,0.969238,0.046875,7.125854,-39.192200,0.671387 -2019-12-23 21:05:31.776,0.053711,0.982910,0.036621,-0.679016,-19.302368,0.740051 -2019-12-23 21:05:31.787,0.043945,0.983887,0.020996,-0.419617,-5.569458,0.518799 -2019-12-23 21:05:31.797,0.057617,0.981934,0.016602,2.120972,0.289917,0.213623 -2019-12-23 21:05:31.807,0.032715,0.980469,-0.000977,5.783081,2.708435,-0.152588 -2019-12-23 21:05:31.817,0.009277,0.976074,0.035156,4.699707,6.347656,-0.495911 -2019-12-23 21:05:31.827,0.059082,0.982910,-0.014160,-3.196716,18.966675,-1.068115 -2019-12-23 21:05:31.838,0.023926,0.977539,-0.026855,-1.808166,14.549254,0.167847 -2019-12-23 21:05:31.848,0.024902,0.983887,-0.005859,-1.678467,8.865356,1.091003 -2019-12-23 21:05:31.858,0.019531,0.981445,-0.015137,-0.595093,4.463196,1.762390 -2019-12-23 21:05:31.868,0.020508,0.986328,-0.001953,-1.068115,0.999451,1.472473 -2019-12-23 21:05:31.879,0.031250,0.977539,0.003906,-1.678467,0.984192,0.411987 -2019-12-23 21:05:31.889,0.037598,0.967773,-0.001465,-1.770019,1.380920,-0.511169 -2019-12-23 21:05:31.899,0.029297,0.981934,-0.004883,-3.135681,1.686096,-0.633240 -2019-12-23 21:05:31.909,0.023438,0.991211,-0.004883,-3.952026,1.548767,-0.190735 -2019-12-23 21:05:31.920,0.028320,0.979980,0.006348,-4.417419,1.251221,-0.350952 -2019-12-23 21:05:31.930,0.044922,0.974121,0.012207,-4.219055,1.693725,-0.061035 -2019-12-23 21:05:31.940,0.077637,0.977051,0.026367,-1.113892,7.141113,0.030518 -2019-12-23 21:05:31.950,0.004883,0.979980,0.018066,4.463196,9.521484,0.755310 -2019-12-23 21:05:31.959,-0.004395,0.970703,0.002441,6.149292,7.568359,1.335144 -2019-12-23 21:05:31.969,0.001465,0.971191,-0.007324,4.608154,3.921509,2.548218 -2019-12-23 21:05:31.979,0.021484,0.985840,0.006348,2.624511,2.143860,2.868652 -2019-12-23 21:05:31.989,0.021484,0.990723,-0.000488,1.571655,1.373291,2.502441 -2019-12-23 21:05:32.000,0.026855,0.983887,-0.005859,-3.410339,0.686645,1.876831 -2019-12-23 21:05:32.009,0.028809,0.976563,-0.001465,-7.247924,0.869751,1.571655 -2019-12-23 21:05:32.020,0.026855,0.982422,-0.012207,-10.864257,0.778198,1.365662 -2019-12-23 21:05:32.029,0.025391,0.984863,-0.007813,-16.769409,0.747681,0.869751 -2019-12-23 21:05:32.040,0.012695,1.003906,-0.010254,-18.508911,0.740051,-0.709534 -2019-12-23 21:05:32.049,0.018555,0.979492,0.006348,-19.081116,0.648498,-5.798339 -2019-12-23 21:05:32.060,0.027344,0.983398,0.015137,-28.968809,0.518799,-8.865356 -2019-12-23 21:05:32.069,0.023926,0.990234,0.018066,-36.010742,-0.511169,-10.307311 -2019-12-23 21:05:32.080,0.044922,0.996094,0.027832,-39.093018,-4.882813,-10.139464 -2019-12-23 21:05:32.090,0.021973,0.981934,0.040039,-29.724119,-0.625610,-1.464844 -2019-12-23 21:05:32.099,0.013184,0.981445,0.042480,-28.450010,-2.143860,0.373840 -2019-12-23 21:05:32.110,0.017090,0.974609,0.042480,-28.518675,-4.989624,-0.411987 -2019-12-23 21:05:32.119,0.022949,0.969238,0.047852,-19.828796,-4.127502,-0.335693 -2019-12-23 21:05:32.130,0.029297,0.967285,0.046875,-8.621216,-1.304626,-0.152588 -2019-12-23 21:05:32.139,0.018555,0.981934,0.051758,0.076294,1.190186,0.068665 -2019-12-23 21:05:32.150,0.016113,0.983398,0.058105,-0.282288,1.594543,0.106812 -2019-12-23 21:05:32.159,0.013672,0.975586,0.056641,-1.632690,2.204895,-0.007629 -2019-12-23 21:05:32.169,0.019531,0.970703,0.041992,0.885010,2.967834,0.137329 -2019-12-23 21:05:32.180,0.028320,0.978516,0.028809,5.668640,2.670288,0.305176 -2019-12-23 21:05:32.189,0.015137,0.982910,0.042969,4.379272,1.770019,0.259399 -2019-12-23 21:05:32.200,0.019043,0.981934,0.045898,6.469726,1.808166,0.282288 -2019-12-23 21:05:32.209,0.026367,0.980469,0.039063,8.445740,1.693725,0.381470 -2019-12-23 21:05:32.220,0.029785,0.980957,0.039551,8.598328,1.579285,0.312805 -2019-12-23 21:05:32.229,0.026367,0.982422,0.034180,7.957458,1.602173,0.221252 -2019-12-23 21:05:32.240,0.018066,0.978516,0.042969,4.203796,1.358032,0.114441 -2019-12-23 21:05:32.250,0.026367,0.983887,0.029785,2.990722,1.304626,0.099182 -2019-12-23 21:05:32.259,0.022949,0.980957,0.035156,0.015259,1.152039,0.068665 -2019-12-23 21:05:32.270,0.020996,0.979492,0.038574,-0.160217,1.167297,0.022888 -2019-12-23 21:05:32.279,0.023438,0.981934,0.036621,1.953125,1.205444,-0.022888 -2019-12-23 21:05:32.290,0.023926,0.980957,0.036133,2.395630,1.121521,0.068665 -2019-12-23 21:05:32.299,0.022949,0.977539,0.038086,2.326965,0.976562,0.038147 -2019-12-23 21:05:32.310,0.021484,0.981934,0.038574,3.646850,1.159668,0.076294 -2019-12-23 21:05:32.320,0.021484,0.980957,0.037109,4.425049,1.411438,0.198364 -2019-12-23 21:05:32.330,0.021973,0.978027,0.032715,4.180908,1.296997,0.122070 -2019-12-23 21:05:32.340,0.020996,0.979492,0.035645,3.662109,1.312256,0.068665 -2019-12-23 21:05:32.350,0.020508,0.981934,0.033203,3.219604,1.426697,0.137329 -2019-12-23 21:05:32.361,0.019043,0.983887,0.031250,2.624511,1.533508,0.083923 -2019-12-23 21:05:32.371,0.022461,0.980469,0.031738,1.953125,1.594543,0.045776 -2019-12-23 21:05:32.381,0.020996,0.981934,0.031738,1.686096,1.632690,0.045776 -2019-12-23 21:05:32.391,0.018555,0.982422,0.032227,0.633240,1.678467,0.137329 -2019-12-23 21:05:32.402,0.038574,0.979980,0.028809,-0.343323,1.617432,0.122070 -2019-12-23 21:05:32.412,0.016113,0.980469,0.037109,0.755310,5.828857,0.221252 -2019-12-23 21:05:32.422,0.012695,0.983887,0.037598,0.503540,3.730774,0.167847 -2019-12-23 21:05:32.432,0.027344,0.979492,0.030273,0.366211,1.533508,0.167847 -2019-12-23 21:05:32.443,0.025879,0.978516,0.030762,2.731323,4.035950,0.396728 -2019-12-23 21:05:32.453,0.017578,0.979980,0.036133,4.417419,5.340576,0.473022 -2019-12-23 21:05:32.463,0.018066,0.981934,0.027832,4.211426,3.814697,0.343323 -2019-12-23 21:05:32.473,0.019043,0.983398,0.032227,4.516602,3.898620,0.427246 -2019-12-23 21:05:32.484,0.020996,0.983887,0.027344,3.990173,3.181457,0.328064 -2019-12-23 21:05:32.494,0.019043,0.981445,0.027832,3.150940,3.425598,0.442505 -2019-12-23 21:05:32.504,0.020996,0.980957,0.029297,2.555847,3.540039,0.793457 -2019-12-23 21:05:32.514,0.020996,0.980469,0.027832,2.197266,3.494262,1.159668 -2019-12-23 21:05:32.525,0.020508,0.976563,0.028320,2.868652,3.547668,1.396179 -2019-12-23 21:05:32.535,0.021973,0.975586,0.027344,1.983642,4.463196,0.686645 -2019-12-23 21:05:32.545,0.023438,0.983887,0.030273,0.801086,3.913879,0.297546 -2019-12-23 21:05:32.555,0.021484,0.982422,0.028320,0.785828,2.723694,0.503540 -2019-12-23 21:05:32.566,0.030273,0.977539,0.026855,1.632690,2.578735,0.679016 -2019-12-23 21:05:32.576,0.018066,0.979980,0.029297,3.021240,2.044678,1.258850 -2019-12-23 21:05:32.586,0.021484,0.985352,0.023926,1.907349,1.731872,0.778198 -2019-12-23 21:05:32.597,0.019531,0.982910,0.022461,2.197266,1.441955,1.174927 -2019-12-23 21:05:32.607,0.015625,0.979004,0.027344,3.036499,1.052856,1.579285 -2019-12-23 21:05:32.617,0.017578,0.979004,0.029297,2.891540,0.885010,1.396179 -2019-12-23 21:05:32.627,0.025391,0.985840,0.024902,5.661010,0.709534,2.639770 -2019-12-23 21:05:32.638,0.029785,0.983398,0.025391,9.033203,0.473022,4.127502 -2019-12-23 21:05:32.648,0.033203,0.975586,0.019043,12.321471,0.022888,5.073547 -2019-12-23 21:05:32.658,0.021973,0.977051,0.021484,12.268065,0.045776,4.844666 -2019-12-23 21:05:32.668,0.025879,0.983887,0.014648,7.843017,0.556946,3.189087 -2019-12-23 21:05:32.679,0.024902,0.983398,0.006836,4.554749,0.282288,2.243042 -2019-12-23 21:05:32.689,0.025879,0.977539,0.008789,1.518249,0.297546,0.999451 -2019-12-23 21:05:32.699,0.025879,0.978027,0.009766,-1.823425,0.389099,-0.495911 -2019-12-23 21:05:32.709,0.023926,0.981445,0.011719,-3.791809,0.556946,-1.342773 -2019-12-23 21:05:32.720,0.025391,0.986328,0.012207,-4.463196,0.274658,-1.739502 -2019-12-23 21:05:32.729,0.025391,0.982910,0.023926,-3.753662,-0.129700,-1.274109 -2019-12-23 21:05:32.740,0.028809,0.979492,0.035156,-1.655578,-0.030518,-0.152588 -2019-12-23 21:05:32.750,0.029785,0.981934,0.045898,0.717163,0.183105,0.885010 -2019-12-23 21:05:32.759,0.024902,0.977539,0.022461,2.326965,-1.304626,1.266479 -2019-12-23 21:05:32.770,0.026855,0.980957,0.035645,3.204345,-0.885010,0.991821 -2019-12-23 21:05:32.779,0.030273,0.985352,0.019043,-1.686096,-1.266479,-0.053406 -2019-12-23 21:05:32.790,0.027344,0.977539,0.015625,-5.401611,-0.282288,-0.671387 -2019-12-23 21:05:32.799,0.026367,0.978027,0.013184,-4.257202,0.595093,-0.404358 -2019-12-23 21:05:32.810,0.023926,0.984375,0.024902,-3.211975,0.907898,-0.198364 -2019-12-23 21:05:32.819,0.024902,0.982422,0.010254,-3.303528,1.388550,-0.106812 -2019-12-23 21:05:32.830,0.027832,0.979004,0.019043,-2.517700,1.243591,-0.267029 -2019-12-23 21:05:32.840,0.025391,0.979492,0.023438,-1.953125,1.358032,-0.068665 -2019-12-23 21:05:32.849,0.023926,0.984375,0.020996,-1.358032,1.220703,0.335693 -2019-12-23 21:05:32.860,0.024902,0.981445,0.025879,-1.823425,0.808716,0.312805 -2019-12-23 21:05:32.869,0.027832,0.979004,0.019531,-1.525879,0.495911,0.404358 -2019-12-23 21:05:32.880,0.029297,0.983887,0.013672,-0.450134,0.610352,0.740051 -2019-12-23 21:05:32.889,0.028320,0.984375,0.025391,2.143860,1.396179,1.800537 -2019-12-23 21:05:32.900,0.030273,0.980469,0.022949,2.601623,0.038147,2.075195 -2019-12-23 21:05:32.909,0.024414,0.979980,0.020508,3.829956,0.053406,2.662658 -2019-12-23 21:05:32.919,0.023926,0.980957,0.022461,6.271362,1.358032,3.211975 -2019-12-23 21:05:32.930,0.027832,0.985352,0.024414,7.919311,2.075195,3.501892 -2019-12-23 21:05:32.939,0.028809,0.978516,0.009277,4.676819,-1.113892,1.777649 -2019-12-23 21:05:32.950,0.031738,0.965332,0.014648,3.295898,0.236511,1.121521 -2019-12-23 21:05:32.959,0.030273,0.990723,0.018066,1.396179,0.823975,0.556946 -2019-12-23 21:05:32.970,0.026855,1.000000,0.013672,-1.625061,-0.335693,-0.366211 -2019-12-23 21:05:32.979,0.033691,0.977539,0.016602,-0.740051,-0.083923,-0.068665 -2019-12-23 21:05:32.990,0.033691,0.978516,0.014160,0.091553,-0.015259,-0.007629 -2019-12-23 21:05:33.000,0.027832,0.990234,0.017090,-0.373840,-0.152588,-0.053406 -2019-12-23 21:05:33.009,0.026367,0.979980,0.017090,-1.098633,0.541687,-0.228882 -2019-12-23 21:05:33.020,0.039551,0.979004,-0.010742,-2.304077,0.434875,-0.953674 -2019-12-23 21:05:33.029,0.027832,0.978027,0.029785,-0.991821,-7.209777,-0.877380 -2019-12-23 21:05:33.040,0.025391,0.987305,0.032227,-1.327515,-1.914978,-0.267029 -2019-12-23 21:05:33.049,0.030273,0.985352,0.013672,-2.120972,1.701355,-0.869751 -2019-12-23 21:05:33.060,0.026855,0.982422,0.001953,-2.220154,0.205994,-1.106262 -2019-12-23 21:05:33.069,0.035645,0.976074,0.031250,-0.373840,-6.622314,-0.259399 -2019-12-23 21:05:33.080,0.028320,0.979492,0.023438,-0.579834,-0.946045,0.076294 -2019-12-23 21:05:33.090,0.024902,0.981445,0.016602,-1.174927,1.716614,-0.366211 -2019-12-23 21:05:33.099,0.020020,0.984375,-0.003418,-2.021790,-0.068665,-1.098633 -2019-12-23 21:05:33.110,0.039551,0.983887,0.036621,-0.503540,-6.362915,-0.312805 -2019-12-23 21:05:33.119,0.029785,0.980957,0.026855,-0.854492,-0.091553,-0.099182 -2019-12-23 21:05:33.130,0.025879,0.981934,0.020508,-0.602722,1.708984,-0.274658 -2019-12-23 21:05:33.139,0.025879,0.980957,0.021973,-0.076294,0.915527,-0.114441 -2019-12-23 21:05:33.150,0.028320,0.979004,0.021484,0.244141,1.098633,-0.015259 -2019-12-23 21:05:33.159,0.028809,0.979004,0.020996,0.144958,1.144409,0.015259 -2019-12-23 21:05:33.169,0.028809,0.982910,0.021484,0.099182,1.068115,0.022888 -2019-12-23 21:05:33.180,0.028320,0.980957,0.023438,0.228882,1.052856,0.045776 -2019-12-23 21:05:33.189,0.028809,0.983398,0.023438,0.602722,1.052856,0.144958 -2019-12-23 21:05:33.200,0.027344,0.980957,0.019531,0.556946,1.014709,0.205994 -2019-12-23 21:05:33.209,0.025879,0.982910,0.020020,0.480652,1.167297,0.083923 -2019-12-23 21:05:33.220,0.027344,0.983887,0.021484,0.320435,1.121521,0.152588 -2019-12-23 21:05:33.229,0.026367,0.977539,0.017578,-0.099182,1.022339,0.160217 -2019-12-23 21:05:33.240,0.027344,0.979492,0.018555,-0.358582,1.083374,0.129700 -2019-12-23 21:05:33.250,0.028809,0.982910,0.021973,-0.556946,1.144409,-0.022888 -2019-12-23 21:05:33.259,0.026855,0.982422,0.020996,-0.541687,1.052856,0.038147 -2019-12-23 21:05:33.270,0.026855,0.980957,0.019043,-0.465393,1.068115,0.015259 -2019-12-23 21:05:33.279,0.027344,0.983398,0.020508,-0.259399,1.098633,0.007629 -2019-12-23 21:05:33.290,0.027832,0.983398,0.021973,-0.251770,1.060486,0.053406 -2019-12-23 21:05:33.299,0.027344,0.980469,0.020508,-0.183105,1.129150,0.106812 -2019-12-23 21:05:33.310,0.027832,0.979492,0.022461,-0.015259,1.152039,0.152588 -2019-12-23 21:05:33.319,0.027344,0.981445,0.020996,0.198364,1.060486,0.144958 -2019-12-23 21:05:33.330,0.027832,0.984375,0.019531,0.297546,1.174927,0.099182 -2019-12-23 21:05:33.340,0.027344,0.982910,0.017578,0.205994,1.182556,0.122070 -2019-12-23 21:05:33.349,0.027832,0.982422,0.018555,0.068665,1.121521,0.175476 -2019-12-23 21:05:33.360,0.028809,0.981445,0.019531,-0.038147,1.144409,0.106812 -2019-12-23 21:05:33.369,0.026367,0.979980,0.019043,-0.495911,1.052856,0.038147 -2019-12-23 21:05:33.380,0.027344,0.981934,0.020996,-0.778198,1.052856,0.038147 -2019-12-23 21:05:33.389,0.028320,0.984375,0.020020,-0.526428,1.220703,0.030518 -2019-12-23 21:05:33.400,0.028809,0.982422,0.017578,-0.244141,1.098633,0.045776 -2019-12-23 21:05:33.409,0.027344,0.984863,0.019043,-0.152588,1.052856,0.053406 -2019-12-23 21:05:33.419,0.027832,0.982422,0.020508,0.251770,1.113892,0.137329 -2019-12-23 21:05:33.430,0.026855,0.983398,0.021484,0.442505,1.121521,0.167847 -2019-12-23 21:05:33.439,0.027832,0.979004,0.019043,0.373840,1.144409,0.099182 -2019-12-23 21:05:33.450,0.026855,0.979980,0.016602,0.320435,1.045227,0.152588 -2019-12-23 21:05:33.459,0.027344,0.981445,0.019043,0.320435,1.060486,0.144958 -2019-12-23 21:05:33.470,0.029785,0.981445,0.020508,0.083923,1.113892,0.167847 -2019-12-23 21:05:33.479,0.028809,0.980469,0.020508,-0.015259,1.152039,0.038147 -2019-12-23 21:05:33.490,0.031250,0.981445,0.021484,-0.205994,1.113892,0.038147 -2019-12-23 21:05:33.500,0.027344,0.981934,0.021973,-0.282288,1.144409,0.038147 -2019-12-23 21:05:33.509,0.027344,0.980957,0.021484,-0.137329,1.113892,0.061035 -2019-12-23 21:05:33.520,0.027344,0.982422,0.021973,-0.137329,1.106262,0.099182 -2019-12-23 21:05:33.530,0.027344,0.981934,0.021484,-0.137329,1.121521,0.106812 -2019-12-23 21:05:33.540,0.026855,0.980469,0.019043,-0.015259,1.144409,0.076294 -2019-12-23 21:05:33.550,0.027832,0.981445,0.020020,0.038147,1.129150,0.183105 -2019-12-23 21:05:33.561,0.029297,0.979980,0.020508,-0.053406,1.075745,0.114441 -2019-12-23 21:05:33.571,0.029297,0.980469,0.021484,0.000000,1.007080,0.061035 -2019-12-23 21:05:33.581,0.028809,0.979492,0.018555,0.053406,1.075745,0.038147 -2019-12-23 21:05:33.591,0.028320,0.981934,0.022461,0.038147,1.052856,0.015259 -2019-12-23 21:05:33.602,0.028320,0.979980,0.021484,0.030518,1.037598,0.122070 -2019-12-23 21:05:33.612,0.028320,0.981445,0.019531,-0.022888,1.091003,0.137329 -2019-12-23 21:05:33.622,0.028320,0.981934,0.020996,-0.282288,1.152039,0.045776 -2019-12-23 21:05:33.632,0.028809,0.982422,0.020996,-0.251770,1.098633,0.022888 -2019-12-23 21:05:33.643,0.026855,0.980957,0.020508,-0.175476,1.060486,0.091553 -2019-12-23 21:05:33.653,0.028809,0.984375,0.019531,-0.183105,1.029968,0.083923 -2019-12-23 21:05:33.663,0.027832,0.984375,0.020996,-0.267029,1.037598,0.000000 -2019-12-23 21:05:33.673,0.026855,0.980469,0.020020,-0.236511,1.098633,0.045776 -2019-12-23 21:05:33.683,0.028809,0.980469,0.020996,-0.045776,1.129150,0.083923 -2019-12-23 21:05:33.694,0.027344,0.982910,0.020996,-0.022888,1.091003,0.129700 -2019-12-23 21:05:33.704,0.028809,0.982910,0.021973,-0.022888,1.197815,0.015259 -2019-12-23 21:05:33.714,0.028809,0.980957,0.021973,-0.244141,1.045227,0.045776 -2019-12-23 21:05:33.724,0.026367,0.981934,0.020996,-0.282288,1.045227,0.083923 -2019-12-23 21:05:33.735,0.028320,0.979492,0.020996,-0.205994,1.106262,0.122070 -2019-12-23 21:05:33.745,0.028809,0.979980,0.020996,-0.068665,1.098633,0.160217 -2019-12-23 21:05:33.755,0.026855,0.981934,0.019531,0.091553,1.075745,0.030518 -2019-12-23 21:05:33.765,0.028809,0.983398,0.017090,0.030518,0.984192,0.045776 -2019-12-23 21:05:33.776,0.029297,0.981445,0.019043,-0.152588,0.984192,0.076294 -2019-12-23 21:05:33.786,0.027344,0.979004,0.020020,-0.320435,0.999451,0.015259 -2019-12-23 21:05:33.796,0.028809,0.978027,0.020996,-0.518799,0.938415,-0.015259 -2019-12-23 21:05:33.806,0.049316,0.990234,-0.009766,-0.679016,0.854492,-0.244141 -2019-12-23 21:05:33.817,0.018066,0.979980,0.037109,0.679016,-3.768921,-0.091553 -2019-12-23 21:05:33.827,0.023438,0.980957,0.026855,-0.205994,0.038147,0.053406 -2019-12-23 21:05:33.837,0.030273,0.983887,0.017090,-0.175476,1.686096,0.099182 -2019-12-23 21:05:33.847,0.028809,0.982910,0.018555,-0.137329,0.984192,0.099182 -2019-12-23 21:05:33.858,0.025879,0.980469,0.019531,-0.267029,1.075745,0.053406 -2019-12-23 21:05:33.868,0.025879,0.982422,0.020508,-0.228882,1.091003,0.045776 -2019-12-23 21:05:33.878,0.027832,0.980957,0.019531,-0.137329,1.045227,0.106812 -2019-12-23 21:05:33.888,0.028320,0.978027,0.021484,-0.404358,1.007080,0.083923 -2019-12-23 21:05:33.899,0.029297,0.984375,0.022949,-0.221252,1.075745,0.068665 -2019-12-23 21:05:33.909,0.029297,0.984863,0.021973,0.038147,1.037598,0.053406 -2019-12-23 21:05:33.919,0.027344,0.980469,0.020508,-0.106812,1.068115,0.114441 -2019-12-23 21:05:33.930,0.030273,0.978516,0.021484,-0.061035,1.098633,0.106812 -2019-12-23 21:05:33.939,0.027832,0.979492,0.021484,-0.038147,1.091003,0.061035 -2019-12-23 21:05:33.950,0.026367,0.981445,0.021973,-0.045776,1.159668,0.068665 -2019-12-23 21:05:33.959,0.029785,0.980957,0.018066,0.114441,1.113892,0.114441 -2019-12-23 21:05:33.970,0.027832,0.981445,0.019043,0.022888,1.060486,0.099182 -2019-12-23 21:05:33.979,0.026367,0.985840,0.021484,-0.068665,1.083374,0.030518 -2019-12-23 21:05:33.990,0.029297,0.987793,0.018066,-0.068665,1.098633,0.099182 -2019-12-23 21:05:34.000,0.027344,0.980957,0.019531,-0.175476,1.091003,0.167847 -2019-12-23 21:05:34.009,0.025879,0.979492,0.021484,-0.221252,1.113892,0.083923 -2019-12-23 21:05:34.020,0.028809,0.981934,0.022949,-0.190735,1.022339,0.083923 -2019-12-23 21:05:34.029,0.029297,0.981934,0.020508,-0.251770,1.098633,0.007629 -2019-12-23 21:05:34.040,0.028320,0.981445,0.021973,-0.137329,1.136780,0.091553 -2019-12-23 21:05:34.049,0.026367,0.982422,0.020020,0.045776,1.098633,0.083923 -2019-12-23 21:05:34.060,0.028320,0.982422,0.022461,-0.061035,1.121521,0.122070 -2019-12-23 21:05:34.069,0.028809,0.981445,0.020996,-0.228882,1.106262,0.122070 -2019-12-23 21:05:34.080,0.027344,0.981934,0.020996,-0.320435,1.106262,0.068665 -2019-12-23 21:05:34.090,0.026855,0.983887,0.021484,-0.282288,1.159668,0.053406 -2019-12-23 21:05:34.099,0.028809,0.981445,0.021484,-0.343323,1.068115,-0.099182 -2019-12-23 21:05:34.110,0.025879,0.979004,0.019531,-0.106812,1.037598,-0.015259 -2019-12-23 21:05:34.119,0.029785,0.980957,0.019043,0.030518,1.083374,0.152588 -2019-12-23 21:05:34.130,0.030762,0.980957,0.018066,-0.038147,1.121521,0.122070 -2019-12-23 21:05:34.139,0.027832,0.980469,0.019043,-0.030518,1.113892,0.030518 -2019-12-23 21:05:34.150,0.026367,0.981445,0.021973,-0.221252,1.068115,0.068665 -2019-12-23 21:05:34.159,0.026367,0.983398,0.020996,-0.274658,1.152039,0.053406 -2019-12-23 21:05:34.169,0.026855,0.982910,0.021973,-0.190735,1.060486,0.106812 -2019-12-23 21:05:34.180,0.028809,0.980957,0.021484,0.076294,1.167297,0.106812 -2019-12-23 21:05:34.189,0.029297,0.981934,0.020508,0.091553,1.152039,0.114441 -2019-12-23 21:05:34.200,0.027832,0.982910,0.020508,0.022888,1.113892,0.137329 -2019-12-23 21:05:34.209,0.029297,0.980957,0.020996,0.045776,1.091003,0.175476 -2019-12-23 21:05:34.220,0.026855,0.980469,0.018555,0.015259,1.029968,0.137329 -2019-12-23 21:05:34.229,0.026855,0.983398,0.019043,-0.190735,1.106262,0.122070 -2019-12-23 21:05:34.240,0.028320,0.982422,0.020020,-0.205994,1.083374,0.076294 -2019-12-23 21:05:34.250,0.028809,0.983398,0.018066,-0.091553,1.022339,0.099182 -2019-12-23 21:05:34.260,0.027832,0.980957,0.019531,-0.190735,1.068115,0.091553 -2019-12-23 21:05:34.270,0.028809,0.979980,0.021484,-0.411987,1.121521,0.015259 -2019-12-23 21:05:34.279,0.030762,0.981445,0.022461,-0.381470,1.098633,0.038147 -2019-12-23 21:05:34.290,0.027832,0.983398,0.019043,-0.221252,1.106262,0.144958 -2019-12-23 21:05:34.299,0.025879,0.982422,0.017578,-0.114441,1.098633,0.030518 -2019-12-23 21:05:34.310,0.027832,0.979980,0.020020,0.000000,1.121521,0.106812 -2019-12-23 21:05:34.319,0.030273,0.981934,0.020508,0.106812,1.190186,0.106812 -2019-12-23 21:05:34.330,0.029785,0.983887,0.021973,-0.015259,1.113892,0.061035 -2019-12-23 21:05:34.340,0.027344,0.981445,0.021484,0.045776,1.083374,0.053406 -2019-12-23 21:05:34.350,0.029785,0.981934,0.020996,-0.061035,1.075745,0.114441 -2019-12-23 21:05:34.360,0.027832,0.981445,0.019531,-0.167847,1.052856,0.091553 -2019-12-23 21:05:34.370,0.026367,0.982422,0.020508,-0.175476,1.037598,0.053406 -2019-12-23 21:05:34.381,0.030273,0.982422,0.022461,-0.076294,1.098633,0.114441 -2019-12-23 21:05:34.391,0.028809,0.981445,0.020996,-0.274658,1.091003,0.099182 -2019-12-23 21:05:34.401,0.027344,0.980957,0.023438,-0.267029,1.083374,0.045776 -2019-12-23 21:05:34.411,0.026855,0.980957,0.020020,-0.343323,1.052856,0.053406 -2019-12-23 21:05:34.422,0.028320,0.981445,0.019531,-0.389099,1.144409,0.015259 -2019-12-23 21:05:34.432,0.028320,0.981934,0.020508,-0.297546,1.136780,0.099182 -2019-12-23 21:05:34.442,0.026855,0.981445,0.022461,-0.167847,1.029968,0.152588 -2019-12-23 21:05:34.452,0.026855,0.981445,0.023926,-0.076294,0.991821,0.068665 -2019-12-23 21:05:34.463,0.029297,0.980957,0.021973,0.000000,0.961304,0.000000 -2019-12-23 21:05:34.473,0.027344,0.980469,0.021484,-0.053406,1.014709,0.022888 -2019-12-23 21:05:34.483,0.026367,0.981934,0.022461,-0.022888,1.045227,0.083923 -2019-12-23 21:05:34.493,0.026855,0.980957,0.020020,-0.045776,1.022339,0.007629 -2019-12-23 21:05:34.504,0.028320,0.983887,0.020020,-0.045776,0.999451,0.053406 -2019-12-23 21:05:34.514,0.027832,0.982910,0.021484,0.129700,1.029968,0.061035 -2019-12-23 21:05:34.524,0.027832,0.981445,0.021973,0.144958,0.953674,0.137329 -2019-12-23 21:05:34.534,0.028320,0.980957,0.020996,-0.045776,0.900268,0.091553 -2019-12-23 21:05:34.545,0.025879,0.979980,0.021973,-0.289917,0.900268,0.068665 -2019-12-23 21:05:34.555,0.026855,0.980469,0.020996,-0.289917,0.778198,0.000000 -2019-12-23 21:05:34.565,0.028809,0.980957,0.019531,-0.297546,0.740051,0.083923 -2019-12-23 21:05:34.576,0.028809,0.981445,0.021484,-0.350952,0.831604,0.015259 -2019-12-23 21:05:34.586,0.027344,0.982910,0.019531,-0.450134,0.816345,-0.129700 -2019-12-23 21:05:34.596,0.027344,0.982910,0.019043,-0.389099,0.793457,-0.167847 -2019-12-23 21:05:34.606,0.026855,0.982422,0.021484,-0.457764,0.938415,-0.068665 -2019-12-23 21:05:34.617,0.028809,0.982910,0.020020,-0.434875,1.052856,-0.076294 -2019-12-23 21:05:34.627,0.026855,0.984863,0.019531,-0.297546,1.106262,-0.038147 -2019-12-23 21:05:34.637,0.027832,0.980469,0.020508,-0.175476,1.037598,-0.030518 -2019-12-23 21:05:34.647,0.026855,0.981445,0.020020,-0.251770,0.991821,-0.083923 -2019-12-23 21:05:34.658,0.026855,0.981934,0.018555,-0.381470,0.976562,-0.404358 -2019-12-23 21:05:34.668,0.040527,0.984375,-0.024902,-1.396179,0.350952,-1.228333 -2019-12-23 21:05:34.678,0.032715,0.983887,0.025879,0.770569,-9.613037,-0.679016 -2019-12-23 21:05:34.688,0.028809,0.978027,0.020508,1.045227,-8.605957,0.045776 -2019-12-23 21:05:34.699,0.027344,0.979004,0.011719,0.999451,-9.399414,-0.099182 -2019-12-23 21:05:34.709,0.023438,0.985352,0.030273,0.793457,-10.589599,-0.114441 -2019-12-23 21:05:34.719,-0.005859,1.000488,0.015625,0.801086,-7.911682,0.053406 -2019-12-23 21:05:34.729,0.030762,0.987793,0.013672,1.960754,-9.918213,-1.472473 -2019-12-23 21:05:34.740,0.033691,0.982422,0.026367,4.539490,-10.116576,-1.953125 -2019-12-23 21:05:34.750,0.018066,0.981934,-0.020020,8.056641,-10.543822,-1.693725 -2019-12-23 21:05:34.759,0.025879,0.996582,0.004395,12.153625,-20.744322,-2.441406 -2019-12-23 21:05:34.770,0.012207,0.997070,-0.035645,24.749754,-19.989014,-3.807068 -2019-12-23 21:05:34.779,0.002930,1.015625,-0.007813,31.547544,-21.972654,-6.210327 -2019-12-23 21:05:34.790,0.000000,1.050781,0.012207,27.038572,-21.522520,-18.867493 -2019-12-23 21:05:34.799,0.017090,1.043457,0.016602,18.661499,-15.014647,-34.774780 -2019-12-23 21:05:34.810,0.042969,1.100098,0.037598,6.629943,-6.103515,-35.316467 -2019-12-23 21:05:34.819,-0.098145,1.069824,-0.031738,-4.371643,8.308411,-29.319761 -2019-12-23 21:05:34.830,0.021484,1.110352,0.074219,-8.140564,32.752991,-41.488644 -2019-12-23 21:05:34.840,0.034668,1.150879,0.030762,-38.764954,18.577576,-16.357422 -2019-12-23 21:05:34.849,-0.104980,1.120117,0.006836,-48.400875,14.938354,4.928589 -2019-12-23 21:05:34.860,-0.050781,1.210449,0.077637,-55.412289,19.470215,3.211975 -2019-12-23 21:05:34.869,0.013672,1.166504,-0.010254,-74.493408,18.928528,8.636475 -2019-12-23 21:05:34.880,0.028809,1.062500,0.062012,-74.424744,7.301330,22.315977 -2019-12-23 21:05:34.889,0.053223,0.947266,0.048828,-80.963127,4.890442,29.701231 -2019-12-23 21:05:34.900,0.029297,0.951172,0.033203,-78.918457,4.913330,35.575867 -2019-12-23 21:05:34.909,0.038574,0.985840,0.063477,-74.218750,3.845215,35.842896 -2019-12-23 21:05:34.919,0.013672,0.958008,0.062988,-71.708679,5.393981,33.103943 -2019-12-23 21:05:34.930,-0.016113,0.944824,0.058105,-66.085815,8.285522,26.679991 -2019-12-23 21:05:34.939,-0.048828,0.964844,0.063477,-62.828060,9.971619,19.378662 -2019-12-23 21:05:34.950,0.011230,0.998535,0.089844,-63.232418,7.545471,14.022826 -2019-12-23 21:05:34.959,0.049805,1.024902,0.136719,-68.206787,0.297546,21.743773 -2019-12-23 21:05:34.970,0.049805,1.028809,0.158691,-74.592590,-4.432678,33.409119 -2019-12-23 21:05:34.979,0.066895,0.998047,0.146973,-78.971863,-6.782531,41.297909 -2019-12-23 21:05:34.990,0.080078,0.959473,0.187988,-78.460693,-4.905701,44.845577 -2019-12-23 21:05:35.000,0.151367,0.962402,0.216309,-79.399109,5.363464,41.770931 -2019-12-23 21:05:35.009,0.170410,0.982422,0.237305,-78.071594,15.281676,40.245052 -2019-12-23 21:05:35.020,0.153809,1.039063,0.259277,-78.674316,22.285460,39.024353 -2019-12-23 21:05:35.029,0.104004,1.081055,0.236816,-80.497734,28.030394,39.443970 -2019-12-23 21:05:35.040,0.100098,1.076660,0.278320,-79.444885,32.646179,38.787842 -2019-12-23 21:05:35.049,0.118652,1.013184,0.287598,-89.530937,30.700682,41.763302 -2019-12-23 21:05:35.060,0.122559,0.894043,0.287109,-101.852409,26.420591,50.346371 -2019-12-23 21:05:35.069,0.124512,0.787598,0.297363,-104.431145,31.562803,56.510921 -2019-12-23 21:05:35.080,0.150391,0.737305,0.286621,-103.225700,38.658142,57.106014 -2019-12-23 21:05:35.090,0.147461,0.660645,0.281738,-91.171257,31.898497,55.183407 -2019-12-23 21:05:35.099,0.153809,0.625977,0.338379,-75.782776,29.357908,51.162716 -2019-12-23 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21:05:37.744,0.016113,-0.017090,1.004395,1.091003,1.159668,-13.511657 -2019-12-23 21:05:37.754,0.019531,-0.019043,1.004883,0.030518,1.045227,-8.735657 -2019-12-23 21:05:37.764,0.011719,-0.019531,1.007813,0.205994,1.586914,-1.815796 -2019-12-23 21:05:37.775,0.009766,-0.020508,1.009277,1.037598,2.494812,0.030518 -2019-12-23 21:05:37.785,0.010742,-0.018066,1.008301,1.976013,3.486633,-0.267029 -2019-12-23 21:05:37.795,0.010254,-0.017578,1.009277,2.395630,3.929138,-0.244141 -2019-12-23 21:05:37.805,0.006836,-0.018555,1.002930,2.677917,3.890991,-0.137329 -2019-12-23 21:05:37.816,0.005371,-0.017578,0.997070,3.143310,3.791809,-0.312805 -2019-12-23 21:05:37.826,0.005371,-0.016113,1.001953,3.501892,3.662109,-0.465393 -2019-12-23 21:05:37.836,0.004395,-0.014160,1.011230,3.944397,3.265381,-0.167847 -2019-12-23 21:05:37.847,0.003418,-0.008789,1.004883,3.356933,2.891540,-0.038147 -2019-12-23 21:05:37.857,0.004395,-0.011719,0.999512,2.197266,2.388000,-1.022339 -2019-12-23 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21:05:38.470,0.002930,-0.013672,1.007324,-0.175476,0.503540,0.297546 -2019-12-23 21:05:38.479,0.001953,-0.011719,1.005371,-0.358582,0.411987,0.282288 -2019-12-23 21:05:38.490,0.004883,-0.012207,1.006836,-0.595093,0.465393,0.274658 -2019-12-23 21:05:38.500,0.007324,-0.015137,1.007813,-0.961304,0.289917,0.450134 -2019-12-23 21:05:38.509,0.008301,-0.016113,1.008789,-0.778198,0.022888,0.366211 -2019-12-23 21:05:38.520,0.008301,-0.016602,1.003906,-0.267029,0.297546,0.282288 -2019-12-23 21:05:38.529,0.005371,-0.019531,1.006836,-0.129700,0.724792,0.183105 -2019-12-23 21:05:38.540,0.006348,-0.017090,1.009277,0.022888,1.075745,0.061035 -2019-12-23 21:05:38.549,0.006836,-0.016113,1.007324,-0.350952,1.182556,0.061035 -2019-12-23 21:05:38.560,0.007813,-0.014648,1.006836,-0.778198,1.243591,0.030518 -2019-12-23 21:05:38.569,0.004395,-0.016113,1.009766,-0.648498,1.358032,0.061035 -2019-12-23 21:05:38.580,0.002930,-0.015137,1.004883,-0.053406,1.556396,0.144958 -2019-12-23 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21:05:39.077,0.005859,-0.014648,1.006348,-0.488281,1.541138,0.068665 -2019-12-23 21:05:39.087,0.006348,-0.014648,1.002441,-0.534058,1.571655,-0.068665 -2019-12-23 21:05:39.097,0.001953,-0.008301,1.007324,-0.839233,1.541138,-0.404358 -2019-12-23 21:05:39.108,-0.030762,0.001465,1.006836,-0.930786,1.502991,-3.524780 -2019-12-23 21:05:39.118,0.033691,-0.034668,1.002441,-1.937866,0.076294,-22.735594 -2019-12-23 21:05:39.128,0.020020,-0.020996,1.008301,1.029968,1.220703,-6.141662 -2019-12-23 21:05:39.138,0.000977,-0.013672,1.011230,0.762939,1.907349,0.709534 -2019-12-23 21:05:39.149,0.007324,-0.017578,1.008301,0.114441,1.373291,-1.594543 -2019-12-23 21:05:39.159,0.004395,-0.013184,1.002930,0.617981,1.289368,-0.724792 -2019-12-23 21:05:39.169,-0.000977,-0.012207,1.006348,0.450134,1.304626,-0.724792 -2019-12-23 21:05:39.180,-0.015137,-0.008301,1.007324,0.297546,1.319885,-2.815246 -2019-12-23 21:05:39.189,0.014648,-0.017578,1.006836,0.007629,1.335144,-11.177062 -2019-12-23 21:05:39.200,0.010742,-0.015625,1.000488,0.259399,1.594543,-4.516602 -2019-12-23 21:05:39.209,0.000977,-0.015625,0.985352,-0.114441,1.502991,-1.121521 -2019-12-23 21:05:39.220,0.000000,-0.018066,0.994141,-0.465393,1.617432,-2.662658 -2019-12-23 21:05:39.229,0.001953,-0.018066,1.044922,-0.305176,1.579285,-1.716614 -2019-12-23 21:05:39.240,0.015137,-0.011719,1.037598,-0.350952,0.885010,0.167847 -2019-12-23 21:05:39.250,0.017578,-0.010742,0.975098,-0.328064,0.808716,0.129700 -2019-12-23 21:05:39.259,-0.001953,-0.014160,0.989746,-0.045776,1.426697,-0.106812 -2019-12-23 21:05:39.270,-0.014160,-0.017578,1.035156,-0.495911,1.312256,0.144958 -2019-12-23 21:05:39.279,0.000000,-0.015625,1.006348,-1.144409,0.953674,0.259399 -2019-12-23 21:05:39.290,0.012695,-0.010254,0.983398,-0.839233,1.335144,0.122070 -2019-12-23 21:05:39.299,0.006836,-0.012207,1.015137,-0.511169,1.533508,0.068665 -2019-12-23 21:05:39.310,-0.000488,-0.016113,1.026367,-0.846863,1.045227,0.160217 -2019-12-23 21:05:39.319,0.002930,-0.016602,0.994629,-0.625610,0.770569,0.114441 -2019-12-23 21:05:39.330,0.001953,-0.017090,0.993652,-0.007629,1.022339,0.000000 -2019-12-23 21:05:39.340,0.000000,-0.014160,1.018066,0.167847,1.029968,0.053406 -2019-12-23 21:05:39.349,0.002441,-0.015625,1.013672,-0.305176,0.694275,0.152588 -2019-12-23 21:05:39.360,0.008789,-0.017578,1.000488,-0.465393,0.709534,0.099182 -2019-12-23 21:05:39.369,0.006348,-0.016113,1.009766,-0.465393,0.892639,0.068665 -2019-12-23 21:05:39.380,0.004395,-0.016113,1.016602,-0.625610,0.862122,0.114441 -2019-12-23 21:05:39.389,0.004395,-0.016113,1.006348,-0.808716,0.808716,0.076294 -2019-12-23 21:05:39.400,0.003418,-0.017090,1.002441,-0.671387,0.946045,-0.030518 -2019-12-23 21:05:39.409,0.001953,-0.016113,1.008301,-0.740051,0.946045,0.053406 -2019-12-23 21:05:39.419,0.005859,-0.017090,1.007813,-0.915527,0.762939,0.083923 -2019-12-23 21:05:39.430,0.006836,-0.019531,1.004395,-0.732422,0.816345,0.122070 -2019-12-23 21:05:39.439,0.005859,-0.019531,1.009766,-0.061035,0.930786,0.083923 -2019-12-23 21:05:39.450,0.003906,-0.019043,1.006836,0.556946,0.991821,0.114441 -2019-12-23 21:05:39.459,0.003906,-0.016602,1.001953,0.442505,1.045227,0.038147 -2019-12-23 21:05:39.470,0.005859,-0.014160,1.004395,0.152588,1.083374,-0.114441 -2019-12-23 21:05:39.479,0.005371,-0.014648,1.006836,-0.205994,1.098633,-0.022888 -2019-12-23 21:05:39.490,0.002930,-0.016113,1.006836,-0.099182,1.182556,0.000000 -2019-12-23 21:05:39.500,0.004395,-0.016113,1.002441,0.167847,1.235962,0.045776 -2019-12-23 21:05:39.510,0.006348,-0.015625,1.004395,-0.152588,1.014709,-0.015259 -2019-12-23 21:05:39.520,0.002441,-0.016602,1.008301,-0.289917,0.862122,0.022888 -2019-12-23 21:05:39.529,0.003418,-0.015137,1.003418,-0.312805,0.656128,-0.053406 -2019-12-23 21:05:39.540,0.003418,-0.017090,1.006348,-0.350952,0.587463,-0.061035 -2019-12-23 21:05:39.549,0.002930,-0.016602,1.009766,-0.549316,0.564575,-0.144958 -2019-12-23 21:05:39.560,0.003906,-0.013672,1.007813,-1.007080,0.495911,-0.343323 -2019-12-23 21:05:39.569,0.009277,-0.021973,1.002441,-1.274109,0.366211,-1.487732 -2019-12-23 21:05:39.580,0.005371,-0.019043,1.006348,-0.167847,0.564575,-0.076294 -2019-12-23 21:05:39.590,0.005371,-0.018066,1.009277,0.061035,0.755310,0.038147 -2019-12-23 21:05:39.600,0.005371,-0.017090,1.007324,0.076294,0.862122,-0.061035 -2019-12-23 21:05:39.610,0.004395,-0.017090,1.008789,-0.251770,0.808716,-0.083923 -2019-12-23 21:05:39.621,0.005371,-0.018555,1.007813,-0.839233,0.724792,0.106812 -2019-12-23 21:05:39.631,0.004883,-0.019531,1.002441,-0.549316,0.953674,0.358582 -2019-12-23 21:05:39.641,0.004395,-0.018555,1.007324,0.709534,1.327515,0.167847 -2019-12-23 21:05:39.651,0.004883,-0.016602,1.016113,1.220703,1.441955,-0.015259 -2019-12-23 21:05:39.661,0.004395,-0.015625,1.011719,0.549316,1.235962,-0.091553 -2019-12-23 21:05:39.672,0.005859,-0.015625,1.003418,-0.274658,0.953674,-0.068665 -2019-12-23 21:05:39.682,0.002930,-0.017090,1.005859,-0.793457,0.862122,-0.076294 -2019-12-23 21:05:39.692,0.004883,-0.018066,1.006836,-0.709534,0.694275,0.106812 -2019-12-23 21:05:39.702,0.004395,-0.017578,1.005859,-0.076294,0.732422,0.076294 -2019-12-23 21:05:39.713,0.006348,-0.016113,1.008301,0.228882,0.907898,-0.022888 -2019-12-23 21:05:39.723,0.006348,-0.016602,1.010254,0.152588,0.862122,-0.076294 -2019-12-23 21:05:39.733,0.006348,-0.017090,1.007813,-0.267029,0.724792,-0.045776 -2019-12-23 21:05:39.743,0.007813,-0.018066,1.006348,-0.160217,0.785828,0.038147 -2019-12-23 21:05:39.754,0.007324,-0.016602,1.003906,0.534058,1.159668,0.251770 -2019-12-23 21:05:39.764,0.006348,-0.013672,1.007813,0.709534,1.419067,0.221252 -2019-12-23 21:05:39.774,0.006836,-0.016113,1.006836,0.671387,1.617432,0.152588 -2019-12-23 21:05:39.784,0.006836,-0.015137,1.004883,0.946045,1.983642,0.175476 -2019-12-23 21:05:39.795,0.004883,-0.016602,1.007324,0.961304,2.029419,0.099182 -2019-12-23 21:05:39.805,0.003906,-0.017578,1.008301,0.335693,1.724243,0.045776 -2019-12-23 21:05:39.815,0.004395,-0.017090,1.004883,0.106812,1.388550,0.114441 -2019-12-23 21:05:39.826,0.003418,-0.015625,1.000977,0.091553,1.396179,0.167847 -2019-12-23 21:05:39.836,0.003418,-0.016113,1.007324,-0.053406,1.266479,0.106812 -2019-12-23 21:05:39.846,0.004395,-0.016113,1.008789,-0.152588,1.029968,0.083923 -2019-12-23 21:05:39.856,0.005859,-0.016113,1.006348,0.083923,1.075745,0.076294 -2019-12-23 21:05:39.867,0.005371,-0.016602,1.001465,0.656128,1.319885,0.076294 -2019-12-23 21:05:39.877,0.002441,-0.017090,1.006348,0.671387,1.121521,0.160217 -2019-12-23 21:05:39.887,0.004395,-0.014648,1.007324,0.190735,0.854492,0.144958 -2019-12-23 21:05:39.897,0.006348,-0.014648,1.005371,-0.114441,0.885010,0.030518 -2019-12-23 21:05:39.908,0.004883,-0.017090,1.005371,-0.129700,1.060486,0.045776 -2019-12-23 21:05:39.918,0.004883,-0.014160,1.004883,-0.198364,1.052856,0.061035 -2019-12-23 21:05:39.928,0.005859,-0.017578,1.002930,-0.198364,1.068115,-0.091553 -2019-12-23 21:05:39.938,0.006348,-0.017090,1.004395,-0.106812,1.243591,-0.038147 -2019-12-23 21:05:39.949,0.004883,-0.016602,1.008301,-0.030518,1.457214,-0.045776 -2019-12-23 21:05:39.959,0.003906,-0.015137,1.007813,0.160217,1.625061,-0.007629 -2019-12-23 21:05:39.969,0.003906,-0.016602,1.007324,0.457764,1.579285,0.091553 -2019-12-23 21:05:39.979,0.004883,-0.015137,1.009277,0.602722,1.464844,-0.007629 -2019-12-23 21:05:39.990,0.006836,-0.014160,1.011230,0.671387,1.609802,-0.160217 -2019-12-23 21:05:40.000,0.002441,-0.008301,1.009277,0.625610,1.472473,-0.198364 -2019-12-23 21:05:40.010,0.002930,-0.019043,1.004883,-1.228333,1.258850,-0.473022 -2019-12-23 21:05:40.020,0.002930,-0.013184,1.010254,0.335693,1.266479,-0.869751 -2019-12-23 21:05:40.029,0.004883,-0.014648,1.006348,0.709534,1.060486,-1.495361 -2019-12-23 21:05:40.040,0.006348,-0.014160,1.005859,0.366211,0.930786,-1.327515 -2019-12-23 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21:05:40.409,0.006348,-0.018555,1.005371,-0.129700,1.197815,0.190735 -2019-12-23 21:05:40.419,0.004395,-0.018066,1.010254,0.099182,1.190186,0.160217 -2019-12-23 21:05:40.430,0.003418,-0.017578,1.007324,0.442505,1.052856,0.190735 -2019-12-23 21:05:40.439,0.006348,-0.016113,1.004883,0.663757,1.045227,0.114441 -2019-12-23 21:05:40.450,0.006348,-0.016602,1.007324,0.053406,1.098633,-0.053406 -2019-12-23 21:05:40.459,0.003418,-0.017090,1.008789,0.205994,1.121521,-0.053406 -2019-12-23 21:05:40.470,0.003418,-0.017578,1.006348,0.373840,0.892639,0.099182 -2019-12-23 21:05:40.479,0.007324,-0.015137,1.005371,0.114441,0.923157,0.221252 -2019-12-23 21:05:40.490,0.005371,-0.014648,1.007813,-0.045776,0.968933,0.205994 -2019-12-23 21:05:40.500,0.003906,-0.017578,1.009277,-0.114441,0.968933,0.122070 -2019-12-23 21:05:40.509,0.004395,-0.018555,1.006348,-0.083923,1.174927,0.190735 -2019-12-23 21:05:40.520,0.004395,-0.016602,1.008301,0.061035,1.167297,0.137329 -2019-12-23 21:05:40.529,0.004395,-0.014648,1.010742,0.122070,1.174927,0.083923 -2019-12-23 21:05:40.540,0.004395,-0.015625,1.005371,-0.061035,1.052856,0.114441 -2019-12-23 21:05:40.549,0.001953,-0.016113,1.004883,-0.137329,1.091003,0.114441 -2019-12-23 21:05:40.560,0.003906,-0.014160,1.007324,-0.129700,1.037598,0.091553 -2019-12-23 21:05:40.569,0.005371,-0.014160,1.008301,-0.076294,0.968933,0.144958 -2019-12-23 21:05:40.580,0.004883,-0.018555,1.003906,0.213623,1.182556,0.122070 -2019-12-23 21:05:40.590,0.004395,-0.016602,1.003418,0.724792,1.319885,0.091553 -2019-12-23 21:05:40.599,0.003418,-0.017090,1.013184,0.747681,1.464844,0.015259 -2019-12-23 21:05:40.610,0.004395,-0.015137,1.009766,0.267029,1.205444,0.061035 -2019-12-23 21:05:40.619,0.005859,-0.015137,1.002441,-0.167847,1.022339,0.091553 -2019-12-23 21:05:40.630,0.003906,-0.017090,1.005859,-0.213623,1.045227,0.152588 -2019-12-23 21:05:40.639,0.003906,-0.016113,1.009277,0.022888,1.190186,0.190735 -2019-12-23 21:05:40.650,0.005859,-0.012207,1.009766,0.358582,1.388550,0.129700 -2019-12-23 21:05:40.659,0.006348,-0.015137,1.006348,0.335693,1.419067,0.053406 -2019-12-23 21:05:40.669,0.003906,-0.014160,1.007324,-0.221252,1.243591,0.076294 -2019-12-23 21:05:40.680,0.002930,-0.013184,1.004883,-0.633240,1.060486,0.167847 -2019-12-23 21:05:40.689,0.003906,-0.016113,1.003418,-0.373840,1.052856,0.160217 -2019-12-23 21:05:40.700,0.005371,-0.019531,1.003906,-0.061035,1.075745,0.175476 -2019-12-23 21:05:40.709,0.006836,-0.018555,1.007813,0.152588,1.327515,0.053406 -2019-12-23 21:05:40.720,0.005859,-0.016113,1.009766,0.312805,1.289368,-0.007629 -2019-12-23 21:05:40.729,0.004883,-0.015137,1.006348,0.144958,1.182556,0.022888 -2019-12-23 21:05:40.740,0.004395,-0.014160,1.006836,-0.236511,0.984192,0.122070 -2019-12-23 21:05:40.750,0.003906,-0.012695,1.006348,-0.457764,1.037598,0.175476 -2019-12-23 21:05:40.759,0.004395,-0.014648,1.008301,-0.167847,1.144409,0.198364 -2019-12-23 21:05:40.770,0.004395,-0.018066,1.008301,0.007629,1.266479,0.190735 -2019-12-23 21:05:40.779,0.003906,-0.015137,1.011230,0.198364,1.365662,0.167847 -2019-12-23 21:05:40.790,0.007813,-0.015625,1.007324,0.236511,1.296997,0.061035 -2019-12-23 21:05:40.800,0.005371,-0.015625,1.003906,0.114441,1.228333,0.053406 -2019-12-23 21:05:40.810,0.002930,-0.018066,1.007324,-0.038147,1.213074,0.122070 -2019-12-23 21:05:40.820,0.002441,-0.016602,1.006836,-0.389099,1.091003,0.198364 -2019-12-23 21:05:40.831,0.005371,-0.018555,1.004395,-0.572205,0.907898,0.160217 -2019-12-23 21:05:40.841,0.005859,-0.015137,1.006348,-0.457764,0.991821,0.144958 -2019-12-23 21:05:40.851,0.004395,-0.013672,1.007324,-0.473022,0.968933,0.144958 -2019-12-23 21:05:40.861,0.001953,-0.015137,1.009277,-0.328064,1.052856,0.099182 -2019-12-23 21:05:40.872,0.001465,-0.013672,1.003906,0.038147,1.037598,0.144958 -2019-12-23 21:05:40.882,0.003418,-0.014160,1.005371,0.213623,1.152039,0.099182 -2019-12-23 21:05:40.892,0.006836,-0.015625,1.009277,0.114441,1.167297,0.076294 -2019-12-23 21:05:40.902,0.006836,-0.016602,1.006348,-0.076294,1.167297,0.022888 -2019-12-23 21:05:40.913,0.006836,-0.017578,1.005859,-0.053406,1.220703,0.076294 -2019-12-23 21:05:40.923,0.004883,-0.016113,1.011230,-0.083923,1.152039,0.236511 -2019-12-23 21:05:40.933,0.003906,-0.015625,1.008301,-0.343323,1.083374,0.205994 -2019-12-23 21:05:40.943,0.005371,-0.014160,1.005859,-0.312805,1.068115,0.259399 -2019-12-23 21:05:40.953,0.003906,-0.016113,1.006348,-0.167847,1.190186,0.099182 -2019-12-23 21:05:40.964,0.002930,-0.016113,1.009766,-0.076294,1.190186,0.061035 -2019-12-23 21:05:40.974,0.003418,-0.014160,1.010742,-0.236511,1.152039,0.015259 -2019-12-23 21:05:40.984,0.005371,-0.015137,1.007813,-0.305176,1.091003,0.000000 -2019-12-23 21:05:40.994,0.004395,-0.017090,1.007813,-0.358582,1.068115,0.114441 -2019-12-23 21:05:41.005,0.001953,-0.019043,1.005859,-0.213623,1.022339,0.160217 -2019-12-23 21:05:41.015,0.002441,-0.015625,1.005859,0.282288,1.235962,0.190735 -2019-12-23 21:05:41.025,0.004883,-0.013184,1.006836,0.686645,1.335144,0.160217 -2019-12-23 21:05:41.035,0.002441,-0.013672,1.011719,0.473022,1.243591,0.106812 -2019-12-23 21:05:41.046,0.003418,-0.015625,1.008789,0.076294,1.060486,0.030518 -2019-12-23 21:05:41.056,0.003906,-0.017578,1.005859,-0.267029,1.029968,0.030518 -2019-12-23 21:05:41.066,0.003418,-0.016113,1.004395,-0.282288,1.052856,0.068665 -2019-12-23 21:05:41.076,0.002441,-0.014160,1.006348,-0.160217,1.098633,0.007629 -2019-12-23 21:05:41.087,0.003906,-0.016113,1.007813,-0.213623,1.213074,0.045776 -2019-12-23 21:05:41.097,0.004883,-0.017090,1.005859,-0.144958,1.205444,0.083923 -2019-12-23 21:05:41.107,0.003418,-0.014648,1.008789,-0.122070,1.136780,0.114441 -2019-12-23 21:05:41.118,0.005371,-0.015137,1.006348,-0.244141,0.862122,0.091553 -2019-12-23 21:05:41.128,0.005371,-0.016602,1.003418,-0.083923,0.946045,0.167847 -2019-12-23 21:05:41.138,0.004883,-0.014160,1.003906,0.061035,1.014709,0.152588 -2019-12-23 21:05:41.148,0.003906,-0.017090,1.006836,0.648498,1.113892,0.198364 -2019-12-23 21:05:41.159,0.005371,-0.017090,1.007324,0.984192,1.113892,0.091553 -2019-12-23 21:05:41.169,0.002441,-0.014160,1.009277,0.816345,1.281738,0.022888 -2019-12-23 21:05:41.179,0.002441,-0.014648,1.007813,0.251770,1.266479,0.068665 -2019-12-23 21:05:41.189,0.003418,-0.011719,1.008301,-0.198364,1.358032,0.083923 -2019-12-23 21:05:41.200,0.004395,-0.013184,1.004395,-0.457764,1.319885,0.015259 -2019-12-23 21:05:41.209,0.004395,-0.015137,1.006348,-0.465393,1.380920,0.038147 -2019-12-23 21:05:41.220,0.002930,-0.015625,1.007813,-0.503540,1.319885,0.022888 -2019-12-23 21:05:41.229,0.004395,-0.015625,1.007324,-0.411987,1.159668,0.038147 -2019-12-23 21:05:41.240,0.003418,-0.015625,1.006348,-0.297546,1.152039,0.129700 -2019-12-23 21:05:41.250,0.003418,-0.017090,1.008301,-0.152588,1.014709,0.083923 -2019-12-23 21:05:41.259,0.002441,-0.017090,1.007324,-0.007629,1.007080,0.083923 -2019-12-23 21:05:41.270,0.005371,-0.015137,1.009277,0.114441,1.068115,0.190735 -2019-12-23 21:05:41.279,0.004883,-0.017090,1.007813,0.244141,1.022339,0.091553 -2019-12-23 21:05:41.290,0.003906,-0.015625,1.007813,0.457764,1.060486,0.068665 -2019-12-23 21:05:41.299,0.003418,-0.014160,1.008301,0.373840,1.121521,0.045776 -2019-12-23 21:05:41.310,0.004395,-0.015625,1.005371,0.106812,1.152039,0.022888 -2019-12-23 21:05:41.319,0.001465,-0.015137,1.007813,-0.053406,1.190186,0.099182 -2019-12-23 21:05:41.330,0.003906,-0.013672,1.005859,-0.213623,1.243591,0.129700 -2019-12-23 21:05:41.340,0.003418,-0.012695,1.006348,-0.358582,1.174927,-0.022888 -2019-12-23 21:05:41.349,0.002930,-0.015625,1.006348,-0.274658,1.159668,0.022888 -2019-12-23 21:05:41.360,0.004883,-0.015625,1.009277,-0.152588,1.121521,0.007629 -2019-12-23 21:05:41.369,0.005371,-0.014648,1.004883,0.000000,1.098633,0.106812 -2019-12-23 21:05:41.380,0.005371,-0.015625,1.004883,0.114441,1.007080,0.152588 -2019-12-23 21:05:41.389,0.003418,-0.016113,1.008301,0.328064,1.121521,0.106812 -2019-12-23 21:05:41.400,0.003418,-0.013672,1.008301,0.312805,1.190186,0.152588 -2019-12-23 21:05:41.409,0.003418,-0.014648,1.008301,0.114441,1.220703,0.144958 -2019-12-23 21:05:41.419,0.004883,-0.013184,1.005859,-0.205994,1.136780,0.022888 -2019-12-23 21:05:41.430,0.004395,-0.015137,1.007324,-0.427246,1.213074,0.007629 -2019-12-23 21:05:41.439,0.003418,-0.015625,1.006836,-0.511169,1.289368,0.045776 -2019-12-23 21:05:41.450,0.003906,-0.016113,1.007813,-0.434875,1.113892,0.061035 -2019-12-23 21:05:41.459,0.005859,-0.015137,1.007813,-0.274658,1.052856,0.122070 -2019-12-23 21:05:41.470,0.004883,-0.017090,1.008301,-0.160217,1.159668,0.099182 -2019-12-23 21:05:41.479,0.003418,-0.016602,1.008789,-0.335693,1.106262,0.129700 -2019-12-23 21:05:41.490,0.005371,-0.016113,1.004395,-0.312805,1.037598,0.183105 -2019-12-23 21:05:41.500,0.004883,-0.014648,1.002930,-0.007629,1.129150,0.160217 -2019-12-23 21:05:41.510,0.003906,-0.015625,1.002930,0.198364,1.167297,0.137329 -2019-12-23 21:05:41.520,0.002930,-0.015625,1.005371,0.343323,1.159668,0.076294 -2019-12-23 21:05:41.529,0.002930,-0.014648,1.005371,0.312805,1.205444,0.045776 -2019-12-23 21:05:41.540,0.004395,-0.014648,1.007324,0.129700,1.159668,0.183105 -2019-12-23 21:05:41.549,0.002930,-0.015137,1.008789,0.015259,1.121521,0.091553 -2019-12-23 21:05:41.560,0.005371,-0.015625,1.007324,-0.106812,1.174927,0.083923 -2019-12-23 21:05:41.569,0.005859,-0.016602,1.004883,-0.251770,1.113892,0.129700 -2019-12-23 21:05:41.580,0.004883,-0.014648,1.006836,-0.328064,1.014709,0.122070 -2019-12-23 21:05:41.590,0.004395,-0.013672,1.007324,-0.274658,1.159668,0.083923 -2019-12-23 21:05:41.599,0.005371,-0.014648,1.006836,-0.244141,1.159668,0.114441 -2019-12-23 21:05:41.610,0.004395,-0.014160,1.008301,-0.061035,1.106262,0.061035 -2019-12-23 21:05:41.620,0.003418,-0.014160,1.009277,-0.038147,1.068115,0.038147 -2019-12-23 21:05:41.630,0.003906,-0.016113,1.005859,-0.114441,1.091003,0.061035 -2019-12-23 21:05:41.640,0.002930,-0.014648,1.007324,-0.175476,1.098633,0.144958 -2019-12-23 21:05:41.651,0.003418,-0.014160,1.009766,-0.007629,1.144409,0.144958 -2019-12-23 21:05:41.661,0.003418,-0.015137,1.008301,0.099182,1.190186,0.099182 -2019-12-23 21:05:41.671,0.002441,-0.016602,1.007813,0.068665,1.182556,0.083923 -2019-12-23 21:05:41.681,0.003418,-0.015625,1.005859,0.099182,1.213074,0.061035 -2019-12-23 21:05:41.692,0.001953,-0.013184,1.005371,0.137329,1.243591,0.022888 -2019-12-23 21:05:41.702,0.002441,-0.015137,1.007813,0.053406,1.296997,0.007629 -2019-12-23 21:05:41.712,0.005859,-0.016113,1.010742,-0.205994,1.075745,0.076294 -2019-12-23 21:05:41.722,0.005371,-0.014160,1.006348,-0.221252,1.098633,0.167847 -2019-12-23 21:05:41.733,0.002441,-0.013672,1.008301,-0.022888,1.136780,0.106812 -2019-12-23 21:05:41.743,0.002441,-0.017090,1.008789,-0.183105,0.991821,0.045776 -2019-12-23 21:05:41.753,0.002930,-0.016113,1.011230,-0.228882,0.968933,0.076294 -2019-12-23 21:05:41.763,0.002441,-0.015137,1.005859,-0.358582,0.961304,0.114441 -2019-12-23 21:05:41.774,0.003418,-0.017090,1.005859,-0.297546,1.029968,0.244141 -2019-12-23 21:05:41.784,0.003906,-0.016602,1.009766,-0.114441,1.113892,0.152588 -2019-12-23 21:05:41.794,0.002930,-0.013672,1.008789,-0.068665,1.190186,0.114441 -2019-12-23 21:05:41.805,0.005371,-0.015625,1.004395,-0.205994,1.037598,0.091553 -2019-12-23 21:05:41.815,0.004395,-0.015625,1.003906,-0.297546,1.007080,0.152588 -2019-12-23 21:05:41.825,0.005371,-0.015625,1.007813,0.083923,0.999451,0.137329 -2019-12-23 21:05:41.835,0.003906,-0.016113,1.006836,0.404358,1.129150,0.045776 -2019-12-23 21:05:41.846,0.003418,-0.014160,1.007813,0.457764,1.144409,-0.038147 -2019-12-23 21:05:41.856,0.002930,-0.017090,1.006836,0.183105,1.152039,-0.007629 -2019-12-23 21:05:41.866,0.004395,-0.018555,1.005371,-0.228882,0.953674,0.076294 -2019-12-23 21:05:41.876,0.003906,-0.015137,1.004395,-0.366211,0.923157,0.198364 -2019-12-23 21:05:41.887,0.002930,-0.016113,1.005859,-0.289917,1.052856,0.236511 -2019-12-23 21:05:41.897,0.002930,-0.017090,1.007324,-0.007629,1.182556,0.144958 -2019-12-23 21:05:41.907,0.005371,-0.017090,1.005859,0.152588,1.235962,0.106812 -2019-12-23 21:05:41.917,0.004883,-0.016602,1.005859,0.022888,1.106262,0.167847 -2019-12-23 21:05:41.928,0.003418,-0.015625,1.004395,-0.114441,1.037598,0.114441 -2019-12-23 21:05:41.938,0.003418,-0.014648,1.002930,-0.099182,1.113892,0.175476 -2019-12-23 21:05:41.948,0.004883,-0.015137,1.007813,0.099182,1.083374,0.183105 -2019-12-23 21:05:41.958,0.004883,-0.015137,1.008301,0.205994,1.022339,0.091553 -2019-12-23 21:05:41.969,0.004395,-0.015137,1.006348,0.083923,1.174927,-0.030518 -2019-12-23 21:05:41.979,0.004883,-0.016113,1.009277,0.038147,1.136780,0.183105 -2019-12-23 21:05:41.989,0.003906,-0.014648,1.008789,-0.083923,1.075745,0.236511 -2019-12-23 21:05:41.999,0.004395,-0.015625,1.004883,0.083923,1.197815,0.183105 -2019-12-23 21:05:42.010,0.003906,-0.014648,1.010254,0.061035,1.197815,0.152588 -2019-12-23 21:05:42.020,0.002930,-0.015625,1.007813,-0.045776,1.075745,0.160217 -2019-12-23 21:05:42.029,0.004395,-0.015625,1.004883,-0.045776,1.113892,0.236511 -2019-12-23 21:05:42.040,0.003906,-0.014160,1.004883,-0.137329,1.152039,0.282288 -2019-12-23 21:05:42.049,0.001953,-0.017090,1.010742,-0.091553,1.174927,0.137329 -2019-12-23 21:05:42.060,0.003906,-0.017090,1.008789,0.122070,1.121521,0.015259 -2019-12-23 21:05:42.069,0.004395,-0.011719,1.006836,0.122070,1.098633,-0.076294 -2019-12-23 21:05:42.080,0.003906,-0.012207,1.007813,-0.068665,0.968933,-0.106812 -2019-12-23 21:05:42.090,0.003906,-0.014648,1.009277,-0.373840,0.831604,0.160217 -2019-12-23 21:05:42.099,0.003906,-0.015625,1.008301,-0.312805,0.892639,0.244141 -2019-12-23 21:05:42.110,0.003418,-0.015625,1.004883,0.099182,1.022339,0.144958 -2019-12-23 21:05:42.119,0.003906,-0.014160,1.009277,0.167847,0.968933,0.022888 -2019-12-23 21:05:42.130,0.004883,-0.014160,1.007813,-0.137329,1.014709,-0.022888 -2019-12-23 21:05:42.139,0.003418,-0.015137,1.004883,-0.106812,1.129150,0.038147 -2019-12-23 21:05:42.150,0.000977,-0.016113,1.007324,-0.289917,1.220703,0.137329 -2019-12-23 21:05:42.159,0.002930,-0.015137,1.010254,-0.396728,1.167297,0.198364 -2019-12-23 21:05:42.169,0.006836,-0.014160,1.006836,-0.320435,1.045227,0.289917 -2019-12-23 21:05:42.180,0.005859,-0.015625,1.005859,0.030518,1.167297,0.267029 -2019-12-23 21:05:42.189,0.004395,-0.016602,1.009277,0.312805,1.296997,0.167847 -2019-12-23 21:05:42.200,0.003906,-0.014648,1.009277,0.129700,1.121521,0.160217 -2019-12-23 21:05:42.209,0.004883,-0.015137,1.003418,-0.122070,1.075745,0.068665 -2019-12-23 21:05:42.220,0.005371,-0.014160,1.004395,-0.106812,1.091003,0.045776 -2019-12-23 21:05:42.229,0.001465,-0.016602,1.011230,0.205994,1.106262,0.030518 -2019-12-23 21:05:42.240,0.000977,-0.013672,1.011230,0.106812,1.060486,-0.007629 -2019-12-23 21:05:42.250,0.004883,-0.013672,1.004883,-0.152588,1.060486,0.007629 -2019-12-23 21:05:42.260,0.004883,-0.014648,1.001953,-0.137329,1.037598,0.053406 -2019-12-23 21:05:42.270,0.001953,-0.014648,1.007324,-0.076294,1.068115,0.160217 -2019-12-23 21:05:42.279,0.002441,-0.016113,1.006836,0.000000,1.075745,0.122070 -2019-12-23 21:05:42.290,0.002930,-0.017090,1.005371,-0.061035,1.083374,0.137329 -2019-12-23 21:05:42.299,0.004883,-0.016602,1.005859,-0.167847,1.083374,0.167847 -2019-12-23 21:05:42.310,0.004395,-0.014648,1.004883,0.022888,1.060486,0.160217 -2019-12-23 21:05:42.319,0.003418,-0.015625,1.003906,0.122070,1.228333,0.061035 -2019-12-23 21:05:42.330,0.004395,-0.015137,1.004883,0.213623,1.182556,0.068665 -2019-12-23 21:05:42.340,0.004883,-0.013672,1.005859,0.076294,1.060486,0.083923 -2019-12-23 21:05:42.349,0.004395,-0.014160,1.005371,-0.167847,1.083374,0.061035 -2019-12-23 21:05:42.360,0.002441,-0.016602,1.003418,0.007629,1.174927,0.137329 -2019-12-23 21:05:42.369,0.003906,-0.017090,1.008301,0.175476,1.266479,0.076294 -2019-12-23 21:05:42.380,0.005371,-0.017578,1.013672,0.015259,1.152039,0.083923 -2019-12-23 21:05:42.389,0.003418,-0.014160,1.006836,-0.236511,0.953674,0.106812 -2019-12-23 21:05:42.400,0.005859,-0.014648,1.002930,-0.061035,1.029968,0.106812 -2019-12-23 21:05:42.409,0.004395,-0.013184,1.009766,-0.068665,1.159668,0.160217 -2019-12-23 21:05:42.419,0.001465,-0.013184,1.010742,0.129700,1.068115,0.053406 -2019-12-23 21:05:42.430,0.002441,-0.013184,1.004395,0.053406,1.068115,0.076294 -2019-12-23 21:05:42.439,0.003418,-0.015137,1.010254,0.000000,1.037598,0.061035 -2019-12-23 21:05:42.450,0.005371,-0.015625,1.009277,0.129700,1.060486,0.068665 -2019-12-23 21:05:42.459,0.003906,-0.015625,1.006348,0.190735,1.091003,0.076294 -2019-12-23 21:05:42.470,0.005371,-0.014648,1.005371,0.274658,1.091003,0.083923 -2019-12-23 21:05:42.479,0.004395,-0.015137,1.009277,0.198364,1.205444,0.167847 -2019-12-23 21:05:42.490,0.003418,-0.014160,1.007813,0.114441,1.167297,0.160217 -2019-12-23 21:05:42.500,0.004883,-0.017578,1.008301,0.175476,1.045227,0.099182 -2019-12-23 21:05:42.510,0.003906,-0.015137,1.006348,0.305176,1.075745,0.106812 -2019-12-23 21:05:42.520,0.004395,-0.014648,1.008301,0.427246,1.052856,0.068665 -2019-12-23 21:05:42.529,0.003418,-0.013672,1.007813,0.411987,0.984192,-0.030518 -2019-12-23 21:05:42.540,0.005371,-0.015137,1.004883,0.144958,0.961304,-0.053406 -2019-12-23 21:05:42.549,0.004395,-0.013184,1.005371,0.045776,0.991821,0.061035 -2019-12-23 21:05:42.560,0.003906,-0.013184,1.007324,0.045776,1.075745,0.053406 -2019-12-23 21:05:42.569,0.005859,-0.013672,1.005859,0.053406,1.007080,-0.038147 -2019-12-23 21:05:42.580,0.004883,-0.015137,1.006836,-0.259399,0.946045,0.000000 -2019-12-23 21:05:42.590,0.005371,-0.013184,1.007324,-0.473022,0.770569,-0.068665 -2019-12-23 21:05:42.599,0.005859,-0.015625,1.005371,-0.595093,0.701904,0.015259 -2019-12-23 21:05:42.610,0.003418,-0.018066,1.009277,-0.434875,0.724792,-0.099182 -2019-12-23 21:05:42.619,0.004395,-0.015137,1.007813,-0.343323,0.862122,-0.015259 -2019-12-23 21:05:42.630,0.004883,-0.014648,1.003418,-0.022888,0.961304,0.076294 -2019-12-23 21:05:42.639,0.005371,-0.014648,1.006348,0.335693,1.007080,0.022888 -2019-12-23 21:05:42.650,0.005859,-0.015137,1.007324,0.061035,1.091003,0.076294 -2019-12-23 21:05:42.659,0.002441,-0.014648,0.997559,0.030518,1.129150,0.129700 -2019-12-23 21:05:42.669,0.003906,-0.013184,1.009277,0.274658,1.190186,0.152588 -2019-12-23 21:05:42.680,0.004883,-0.015137,1.017090,-0.030518,1.182556,0.221252 -2019-12-23 21:05:42.689,0.008789,-0.015625,1.006836,0.007629,1.190186,0.106812 -2019-12-23 21:05:42.700,0.005371,-0.015625,1.000000,0.297546,1.419067,-0.030518 -2019-12-23 21:05:42.709,0.002441,-0.014648,1.007813,0.343323,1.472473,0.038147 -2019-12-23 21:05:42.720,0.001953,-0.014648,1.006836,-0.076294,1.281738,0.099182 -2019-12-23 21:05:42.729,0.006348,-0.013672,1.001465,-0.320435,1.258850,0.068665 -2019-12-23 21:05:42.740,0.006348,-0.013184,1.005371,-0.274658,1.266479,0.122070 -2019-12-23 21:05:42.750,0.003906,-0.017090,1.012695,-0.244141,1.106262,0.129700 -2019-12-23 21:05:42.760,0.003418,-0.017578,1.007324,-0.190735,1.083374,0.068665 -2019-12-23 21:05:42.770,0.004395,-0.014648,1.006348,-0.015259,1.083374,0.061035 -2019-12-23 21:05:42.779,0.004883,-0.014160,1.006348,-0.038147,1.144409,-0.045776 -2019-12-23 21:05:42.790,0.003906,-0.017090,1.005371,-0.198364,0.961304,0.000000 -2019-12-23 21:05:42.799,0.006836,-0.016602,1.009766,-0.297546,0.869751,0.083923 -2019-12-23 21:05:42.810,0.004395,-0.013672,1.008789,-0.236511,0.885010,-0.007629 -2019-12-23 21:05:42.820,0.003418,-0.014160,1.006348,-0.122070,0.915527,0.030518 -2019-12-23 21:05:42.830,0.001953,-0.015625,1.005859,-0.045776,0.907898,0.068665 -2019-12-23 21:05:42.840,0.002441,-0.014648,1.005371,0.061035,0.999451,0.007629 -2019-12-23 21:05:42.851,0.001465,-0.013672,1.007324,0.137329,1.068115,-0.122070 -2019-12-23 21:05:42.861,0.004395,-0.015137,1.009277,-0.030518,1.014709,-0.106812 -2019-12-23 21:05:42.871,0.004883,-0.016113,1.007813,-0.106812,1.029968,-0.099182 -2019-12-23 21:05:42.881,0.003906,-0.016113,1.006348,0.099182,1.075745,-0.030518 -2019-12-23 21:05:42.891,0.002930,-0.016602,1.007324,0.167847,1.182556,-0.099182 -2019-12-23 21:05:42.902,0.004395,-0.015625,1.007324,0.160217,1.312256,-0.076294 -2019-12-23 21:05:42.912,0.004883,-0.013672,1.005371,0.343323,1.197815,-0.106812 -2019-12-23 21:05:42.922,0.002441,-0.014160,1.003906,0.419617,1.098633,-0.411987 -2019-12-23 21:05:42.932,0.005371,-0.016113,1.008301,0.404358,1.159668,-0.473022 -2019-12-23 21:05:42.943,0.003418,0.009277,1.027832,-0.885010,1.136780,-0.236511 -2019-12-23 21:05:42.953,0.006836,-0.059570,0.977539,-8.094788,0.297546,0.282288 -2019-12-23 21:05:42.963,0.003906,-0.017578,1.005859,1.716614,1.434326,-0.053406 -2019-12-23 21:05:42.973,0.003906,-0.011719,1.009766,2.166748,1.487732,0.114441 -2019-12-23 21:05:42.984,0.004395,-0.015137,1.005859,0.587463,1.152039,0.076294 -2019-12-23 21:05:42.994,0.004395,-0.015137,1.008301,-0.030518,1.167297,0.144958 -2019-12-23 21:05:43.004,0.004883,-0.014160,1.009766,-0.091553,1.144409,0.175476 -2019-12-23 21:05:43.014,0.004883,-0.014648,1.003906,-0.434875,1.121521,0.137329 -2019-12-23 21:05:43.025,0.005371,-0.014160,1.005371,-0.312805,1.136780,0.106812 -2019-12-23 21:05:43.035,0.004395,-0.016113,1.010254,0.000000,1.281738,0.167847 -2019-12-23 21:05:43.045,0.005859,-0.016602,1.008301,-0.015259,1.319885,0.152588 -2019-12-23 21:05:43.055,0.006348,-0.016113,1.007324,-0.236511,1.350403,0.129700 -2019-12-23 21:05:43.066,0.003906,-0.017578,1.007813,-0.389099,1.312256,0.122070 -2019-12-23 21:05:43.076,0.003418,-0.017090,1.008789,-0.274658,1.266479,0.099182 -2019-12-23 21:05:43.086,0.005859,-0.017090,1.006348,0.152588,1.289368,0.122070 -2019-12-23 21:05:43.097,0.003906,-0.015137,1.006836,0.770569,1.380920,0.129700 -2019-12-23 21:05:43.107,0.002930,-0.014648,1.009277,0.839233,1.113892,0.045776 -2019-12-23 21:05:43.117,0.005859,-0.015625,1.007813,0.740051,0.717163,0.038147 -2019-12-23 21:05:43.127,0.004395,-0.014648,1.005371,0.457764,0.526428,0.076294 -2019-12-23 21:05:43.138,0.003906,-0.016602,1.006348,0.473022,0.335693,0.045776 -2019-12-23 21:05:43.148,0.006348,-0.011230,1.005859,0.724792,0.381470,0.000000 -2019-12-23 21:05:43.158,0.003906,-0.013672,1.004883,-0.282288,0.465393,0.099182 -2019-12-23 21:05:43.168,0.002441,-0.013184,1.008789,-0.297546,0.572205,0.144958 -2019-12-23 21:05:43.179,0.004395,-0.013672,1.010254,-0.373840,0.656128,0.137329 -2019-12-23 21:05:43.189,0.006348,-0.013672,1.006348,-0.389099,0.862122,0.236511 -2019-12-23 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21:05:58.119,0.200684,0.963867,0.060059,15.274047,3.227234,-11.245727 -2019-12-23 21:05:58.130,0.156250,0.974121,0.023926,8.316040,1.472473,-1.457214 -2019-12-23 21:05:58.139,0.116699,0.992188,0.018555,5.790710,-0.381470,3.379822 -2019-12-23 21:05:58.150,0.094727,1.008789,0.014648,3.967285,-1.289368,5.027771 -2019-12-23 21:05:58.159,0.067871,1.008789,0.004395,2.059937,-2.723694,4.814148 -2019-12-23 21:05:58.170,0.082520,0.977539,0.001953,2.487183,-3.913879,4.676819 -2019-12-23 21:05:58.180,0.074707,0.973145,0.007324,2.891540,-5.584716,5.554199 -2019-12-23 21:05:58.190,0.072754,0.967285,0.013184,4.127502,-5.813598,5.455017 -2019-12-23 21:05:58.201,0.070801,0.978516,0.017578,5.371093,-4.722595,5.607605 -2019-12-23 21:05:58.211,0.093750,1.000488,0.033203,4.455566,-5.264282,5.126953 -2019-12-23 21:05:58.221,0.128906,0.931152,-0.002930,-5.889892,-17.997742,3.387451 -2019-12-23 21:05:58.231,0.055664,1.000000,0.020996,6.301879,-4.348755,0.450134 -2019-12-23 21:05:58.242,0.074707,0.995117,0.033203,9.872437,0.015259,-1.922607 -2019-12-23 21:05:58.252,0.088379,0.988281,0.021973,9.582520,0.740051,-4.547119 -2019-12-23 21:05:58.262,0.103027,0.975586,0.012207,9.613037,2.975464,-5.828857 -2019-12-23 21:05:58.272,0.104492,0.979492,0.001953,9.147644,3.242492,-5.020141 -2019-12-23 21:05:58.283,0.098633,0.989258,0.005859,9.170532,2.037048,-4.241943 -2019-12-23 21:05:58.293,0.099121,0.998535,0.012695,8.972168,0.854492,-3.364563 -2019-12-23 21:05:58.303,0.119629,1.029297,0.030762,6.683349,-0.610352,-2.197266 -2019-12-23 21:05:58.313,0.070801,1.076660,0.033203,0.907898,-1.884460,9.475708 -2019-12-23 21:05:58.324,0.052246,1.002930,0.004395,-1.907349,-0.518799,8.102417 -2019-12-23 21:05:58.334,0.110840,0.974121,0.011719,0.610352,-0.534058,0.221252 -2019-12-23 21:05:58.344,0.101074,0.973145,0.012207,0.144958,-1.014709,1.602173 -2019-12-23 21:05:58.354,0.083984,0.971680,0.002930,0.289917,-0.297546,2.388000 -2019-12-23 21:05:58.365,0.076660,0.983398,0.005859,0.457764,-0.885010,2.754211 -2019-12-23 21:05:58.375,0.093262,0.980957,0.004395,0.808716,-1.762390,3.112793 -2019-12-23 21:05:58.385,0.095703,0.981445,0.002930,1.007080,-2.777099,2.975464 -2019-12-23 21:05:58.395,0.103516,0.978027,0.011230,0.701904,-3.105163,1.861572 -2019-12-23 21:05:58.405,0.103516,0.979980,0.011719,-0.434875,-2.914428,1.739502 -2019-12-23 21:05:58.416,0.115234,0.973145,0.013672,-1.548767,-2.403259,1.419067 -2019-12-23 21:05:58.426,0.120117,0.963867,0.023926,-2.899170,-1.686096,2.777099 -2019-12-23 21:05:58.436,0.101563,0.973633,0.020020,-4.074097,-0.457764,5.577087 -2019-12-23 21:05:58.446,0.097656,0.977539,0.005859,-4.936218,-0.625610,7.377624 -2019-12-23 21:05:58.457,0.068359,0.997070,-0.002441,-4.692078,-1.190186,6.980896 -2019-12-23 21:05:58.467,0.095215,0.977539,0.012207,-3.517151,-1.670837,5.767822 -2019-12-23 21:05:58.477,0.125000,0.956055,0.020508,-2.937317,-1.312256,6.988525 -2019-12-23 21:05:58.487,0.120605,0.955566,0.018066,-3.898620,-1.960754,12.527465 -2019-12-23 21:05:58.498,0.077637,0.983398,0.003418,-2.388000,-2.159119,17.143250 -2019-12-23 21:05:58.508,0.160645,0.945313,0.018555,-0.152588,-4.219055,19.172668 -2019-12-23 21:05:58.518,0.134766,0.956543,0.018066,-1.548767,-6.607055,26.473997 -2019-12-23 21:05:58.528,0.136230,0.959961,0.011230,-1.625061,-7.629394,31.967161 -2019-12-23 21:05:58.539,0.072266,1.027344,-0.003906,-1.266479,-8.979797,33.920288 -2019-12-23 21:05:58.549,0.028809,1.089355,0.017090,4.280090,-5.889892,13.671874 -2019-12-23 21:05:58.559,0.157227,0.976074,0.014648,8.705139,0.373840,-4.776001 -2019-12-23 21:05:58.569,0.142578,0.969238,0.012695,6.942749,-0.267029,-1.075745 -2019-12-23 21:05:58.580,0.127441,0.973145,0.006836,6.736755,-0.900268,-1.419067 -2019-12-23 21:05:58.590,0.130371,0.988281,0.001465,4.707336,-0.228882,-1.205444 -2019-12-23 21:05:58.599,0.128418,0.981445,0.010742,0.648498,0.816345,0.282288 -2019-12-23 21:05:58.610,0.128906,0.971680,0.008301,0.221252,0.900268,0.228882 -2019-12-23 21:05:58.619,0.128906,0.971680,0.003906,0.152588,0.953674,0.015259 -2019-12-23 21:05:58.630,0.127930,0.980957,0.007813,-0.053406,0.938415,0.007629 -2019-12-23 21:05:58.639,0.128906,0.980957,0.010254,-0.282288,0.930786,-0.053406 -2019-12-23 21:05:58.650,0.129883,0.974121,0.009277,-0.663757,0.999451,-0.190735 -2019-12-23 21:05:58.659,0.126465,0.974609,0.008301,-1.724243,1.182556,-0.610352 -2019-12-23 21:05:58.669,0.130371,0.980957,0.009766,-1.693725,1.205444,-0.892639 -2019-12-23 21:05:58.680,0.127930,0.974121,0.009766,-1.144409,1.068115,-0.854492 -2019-12-23 21:05:58.689,0.132813,0.973145,0.008789,-1.884460,1.243591,-0.823975 -2019-12-23 21:05:58.700,0.129395,0.984375,0.009766,-0.457764,1.113892,-0.297546 -2019-12-23 21:05:58.709,0.120605,0.969238,0.010254,0.953674,0.778198,-0.061035 -2019-12-23 21:05:58.720,0.114746,0.955566,0.016602,5.592346,0.389099,-8.430481 -2019-12-23 21:05:58.729,0.137207,0.995117,0.004883,8.499146,0.358582,-8.903503 -2019-12-23 21:05:58.740,0.132324,0.993652,0.002930,6.118774,0.175476,-3.936767 -2019-12-23 21:05:58.750,0.113281,0.946777,0.040039,5.683898,-0.495911,-6.217956 -2019-12-23 21:05:58.759,0.145020,0.999023,-0.002930,2.555847,-9.933472,-10.360717 -2019-12-23 21:05:58.770,0.120117,0.991211,-0.022949,-1.869202,-6.492614,-2.975464 -2019-12-23 21:05:58.779,0.123047,0.979980,0.010254,-0.930786,1.701355,-0.183105 -2019-12-23 21:05:58.790,0.125977,0.969727,0.018555,-0.709534,0.396728,-0.526428 -2019-12-23 21:05:58.799,0.118164,0.971191,0.008789,-3.807068,-5.935668,-3.555298 -2019-12-23 21:05:58.810,0.120117,0.989258,-0.015625,-1.998901,-4.478455,-3.616333 -2019-12-23 21:05:58.819,0.120605,0.978516,0.005371,-0.442505,0.785828,-0.526428 -2019-12-23 21:05:58.830,0.120117,0.975098,0.008789,-0.457764,0.564575,-0.373840 -2019-12-23 21:05:58.840,0.118652,0.967773,0.013184,-0.053406,-0.015259,-1.007080 -2019-12-23 21:05:58.849,0.117676,0.972656,0.015137,0.419617,-4.005432,-4.531860 -2019-12-23 21:05:58.860,0.119141,0.996582,-0.017090,1.174927,-4.493713,-4.798889 -2019-12-23 21:05:58.869,0.117188,0.979492,0.005859,1.182556,0.976562,-0.366211 -2019-12-23 21:05:58.880,0.107422,0.957520,0.007813,2.059937,0.999451,-1.434326 -2019-12-23 21:05:58.889,0.129395,0.995605,-0.000488,5.821228,0.503540,-5.950927 -2019-12-23 21:05:58.900,0.119141,0.984375,0.000000,1.281738,0.885010,-1.014709 -2019-12-23 21:05:58.909,0.114258,0.979004,0.003906,-0.328064,0.923157,0.175476 -2019-12-23 21:05:58.919,0.115234,0.978516,0.002441,-0.259399,0.946045,-0.289917 -2019-12-23 21:05:58.930,0.114746,0.979492,-0.000488,-0.335693,1.144409,-0.244141 -2019-12-23 21:05:58.939,0.113770,0.978027,0.002441,-0.587463,1.190186,-0.259399 -2019-12-23 21:05:58.950,0.116211,0.979980,0.007813,-0.801086,1.258850,-0.373840 -2019-12-23 21:05:58.959,0.116699,0.978027,0.003418,-0.602722,1.152039,-0.312805 -2019-12-23 21:05:58.970,0.116699,0.979980,0.001953,-0.236511,1.022339,-0.076294 -2019-12-23 21:05:58.980,0.114258,0.980469,0.003906,0.045776,0.991821,0.053406 -2019-12-23 21:05:58.990,0.116211,0.977051,0.003418,0.045776,0.984192,0.076294 -2019-12-23 21:05:59.000,0.115723,0.978027,0.006348,-0.038147,0.923157,0.083923 -2019-12-23 21:05:59.011,0.113770,0.977539,0.005371,0.061035,0.801086,0.022888 -2019-12-23 21:05:59.021,0.115723,0.977539,0.004395,0.000000,0.732422,-0.045776 -2019-12-23 21:05:59.031,0.116211,0.978516,0.005371,-0.343323,0.511169,-0.205994 -2019-12-23 21:05:59.041,0.116211,0.973145,0.009766,-0.732422,-0.419617,-0.717163 -2019-12-23 21:05:59.052,0.113770,0.976563,0.003906,-0.892639,-3.822326,-3.097534 -2019-12-23 21:05:59.062,0.116211,0.983887,-0.008789,0.068665,-1.998901,-2.319336 -2019-12-23 21:05:59.072,0.115234,0.978027,0.007813,-0.022888,1.220703,0.053406 -2019-12-23 21:05:59.082,0.116211,0.979980,0.005371,-0.122070,0.595093,-0.114441 -2019-12-23 21:05:59.092,0.115234,0.980469,0.004395,0.076294,0.564575,-0.221252 -2019-12-23 21:05:59.103,0.112793,0.979004,0.002930,0.236511,0.633240,-0.228882 -2019-12-23 21:05:59.113,0.104980,0.962402,0.004883,0.251770,0.732422,-0.694275 -2019-12-23 21:05:59.123,0.117676,0.984863,0.003906,3.158569,0.831604,-5.332946 -2019-12-23 21:05:59.133,0.119629,0.989746,0.001953,0.556946,1.068115,-2.914428 -2019-12-23 21:05:59.144,0.108398,0.976074,0.004395,-1.136780,1.129150,-0.473022 -2019-12-23 21:05:59.154,0.103027,0.965820,0.006836,0.030518,0.900268,-2.685547 -2019-12-23 21:05:59.164,0.123535,0.991211,0.002441,1.281738,0.801086,-5.462646 -2019-12-23 21:05:59.174,0.108887,0.979004,0.004883,-0.396728,0.907898,-2.044678 -2019-12-23 21:05:59.185,0.105469,0.973633,0.005371,-0.259399,0.717163,-2.815246 -2019-12-23 21:05:59.195,0.113770,0.959473,0.041504,-0.694275,-0.480652,-5.020141 -2019-12-23 21:05:59.205,0.105957,0.979492,0.002930,-4.295349,-14.755248,-9.895325 -2019-12-23 21:05:59.215,0.100098,0.981934,-0.014648,-2.525329,-12.107848,-9.742737 -2019-12-23 21:05:59.226,0.078613,0.954590,0.003418,0.320435,-5.615234,-11.772155 -2019-12-23 21:05:59.236,0.054688,0.930664,-0.001465,2.143860,-6.752014,-23.956297 -2019-12-23 21:05:59.246,0.132813,0.960449,0.088867,0.015259,-5.928039,-38.131714 -2019-12-23 21:05:59.256,-0.024902,0.744141,-0.028809,-22.354124,-37.742615,-88.409416 -2019-12-23 21:05:59.267,0.200195,1.341309,-0.083984,-13.710021,-19.844055,-111.427299 -2019-12-23 21:05:59.277,0.062012,0.996094,0.034668,-9.742737,7.156372,-3.814697 -2019-12-23 21:05:59.287,0.019043,0.959473,0.014160,2.540588,4.203796,1.098633 -2019-12-23 21:05:59.298,0.093262,1.032227,-0.008301,16.227722,0.205994,-7.606506 -2019-12-23 21:05:59.308,0.066895,0.958984,0.005859,10.192870,0.434875,1.670837 -2019-12-23 21:05:59.318,0.052734,0.988281,0.000488,7.659912,0.602722,1.182556 -2019-12-23 21:05:59.328,0.045410,0.988281,0.005371,1.731872,0.862122,0.038147 -2019-12-23 21:05:59.339,0.050293,0.966797,0.004883,-0.541687,1.121521,-0.106812 -2019-12-23 21:05:59.349,0.057129,0.981934,0.002441,-0.564575,1.152039,-0.190735 -2019-12-23 21:05:59.359,0.056641,0.996094,0.001465,-0.572205,1.045227,-0.129700 -2019-12-23 21:05:59.369,0.057129,0.982422,0.003418,-0.663757,1.068115,-0.068665 -2019-12-23 21:05:59.380,0.054688,0.976563,0.005859,-0.556946,1.037598,-0.213623 -2019-12-23 21:05:59.389,0.050293,0.985352,0.005859,-0.587463,0.968933,-0.274658 -2019-12-23 21:05:59.400,0.052734,0.981934,0.005859,-0.984192,1.014709,-0.419617 -2019-12-23 21:05:59.409,0.054199,0.978027,0.004395,-0.869751,1.029968,-0.442505 -2019-12-23 21:05:59.419,0.055664,0.986328,0.003418,-0.404358,1.052856,-0.205994 -2019-12-23 21:05:59.430,0.057617,0.989258,0.005859,-0.091553,1.083374,0.022888 -2019-12-23 21:05:59.439,0.055664,0.982910,0.005859,0.160217,0.984192,0.091553 -2019-12-23 21:05:59.450,0.052246,0.980957,0.003906,0.183105,1.029968,0.152588 -2019-12-23 21:05:59.459,0.050293,0.979492,0.003418,0.106812,1.068115,0.061035 -2019-12-23 21:05:59.470,0.053711,0.978516,0.004395,0.068665,1.014709,0.030518 -2019-12-23 21:05:59.479,0.056152,0.981934,0.004883,0.007629,1.060486,-0.030518 -2019-12-23 21:05:59.490,0.056641,0.986328,0.004883,-0.282288,1.091003,-0.076294 -2019-12-23 21:05:59.500,0.056641,0.983887,0.007813,-0.434875,1.052856,0.091553 -2019-12-23 21:05:59.510,0.053711,0.980957,0.006836,-0.427246,1.022339,0.083923 -2019-12-23 21:05:59.520,0.053711,0.977539,0.004883,-0.457764,1.052856,-0.083923 -2019-12-23 21:05:59.529,0.051758,0.979492,0.004395,-0.411987,1.075745,-0.068665 -2019-12-23 21:05:59.540,0.053223,0.981934,0.003906,-0.495911,1.075745,-0.167847 -2019-12-23 21:05:59.549,0.053711,0.985840,0.002930,-0.694275,1.060486,-0.274658 -2019-12-23 21:05:59.560,0.057129,0.983398,0.005859,-0.328064,0.991821,-0.129700 -2019-12-23 21:05:59.569,0.055176,0.982422,0.008301,0.038147,0.976562,0.061035 -2019-12-23 21:05:59.580,0.053223,0.981445,0.004883,0.022888,1.045227,0.053406 -2019-12-23 21:05:59.590,0.053223,0.979980,0.003906,-0.045776,1.083374,0.022888 -2019-12-23 21:05:59.599,0.053711,0.981934,0.005859,0.000000,1.106262,0.053406 -2019-12-23 21:05:59.610,0.053711,0.984375,0.005859,-0.053406,1.045227,0.122070 -2019-12-23 21:05:59.619,0.055176,0.983398,0.004395,-0.083923,1.167297,0.076294 -2019-12-23 21:05:59.630,0.056641,0.983398,0.000488,-0.038147,1.152039,0.053406 -2019-12-23 21:05:59.639,0.053223,0.984375,0.002930,-0.228882,1.037598,-0.022888 -2019-12-23 21:05:59.650,0.054199,0.981934,0.002930,-0.267029,1.014709,-0.022888 -2019-12-23 21:05:59.659,0.052246,0.979980,0.006836,-0.129700,1.083374,0.053406 -2019-12-23 21:05:59.669,0.052734,0.981934,0.006348,-0.114441,1.098633,0.038147 -2019-12-23 21:05:59.680,0.054688,0.982422,0.004883,-0.091553,1.091003,0.076294 -2019-12-23 21:05:59.689,0.055176,0.982422,0.005371,0.007629,1.052856,0.076294 -2019-12-23 21:05:59.700,0.054199,0.985352,0.002441,-0.038147,1.029968,0.045776 -2019-12-23 21:05:59.709,0.052246,0.982910,0.002930,-0.045776,1.121521,0.068665 -2019-12-23 21:05:59.720,0.056152,0.982422,0.003418,-0.068665,1.091003,0.144958 -2019-12-23 21:05:59.729,0.052246,0.980957,0.002441,-0.091553,1.121521,0.129700 -2019-12-23 21:05:59.740,0.055176,0.982422,0.004883,0.038147,1.083374,0.068665 -2019-12-23 21:05:59.750,0.055664,0.981934,0.004395,0.114441,1.037598,0.083923 -2019-12-23 21:05:59.760,0.055664,0.984375,0.005859,0.022888,1.075745,0.144958 -2019-12-23 21:05:59.770,0.054688,0.985840,0.004883,-0.175476,1.007080,0.106812 -2019-12-23 21:05:59.779,0.055176,0.982422,0.004883,-0.244141,1.007080,0.129700 -2019-12-23 21:05:59.790,0.052734,0.979980,0.005371,-0.343323,1.144409,0.129700 -2019-12-23 21:05:59.799,0.054688,0.981445,0.005371,-0.350952,1.091003,-0.045776 -2019-12-23 21:05:59.810,0.053711,0.981934,0.005859,-0.213623,1.060486,-0.061035 -2019-12-23 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21:06:00.060,0.052734,0.982422,0.005371,-0.221252,1.060486,0.022888 -2019-12-23 21:06:00.070,0.054199,0.979980,0.003418,0.030518,1.091003,0.030518 -2019-12-23 21:06:00.080,0.051758,0.981934,0.005859,-0.030518,1.007080,0.091553 -2019-12-23 21:06:00.090,0.053223,0.983398,0.004883,-0.061035,1.022339,0.175476 -2019-12-23 21:06:00.100,0.054199,0.979980,0.002930,-0.129700,1.106262,0.144958 -2019-12-23 21:06:00.110,0.052734,0.979004,0.004883,-0.205994,1.136780,0.083923 -2019-12-23 21:06:00.120,0.051270,0.983398,0.006348,-0.122070,1.029968,0.076294 -2019-12-23 21:06:00.130,0.051758,0.982910,0.005371,-0.259399,1.083374,0.015259 -2019-12-23 21:06:00.140,0.051758,0.979980,0.005371,-0.518799,1.174927,-0.129700 -2019-12-23 21:06:00.150,0.053711,0.983398,0.004395,-1.174927,1.159668,-0.694275 -2019-12-23 21:06:00.160,0.053223,0.982910,0.005371,-0.907898,1.190186,-0.518799 -2019-12-23 21:06:00.170,0.052246,0.980957,0.007324,-0.648498,1.152039,-0.282288 -2019-12-23 21:06:00.180,0.052246,0.982910,0.007813,-0.556946,1.136780,-0.228882 -2019-12-23 21:06:00.190,0.051758,0.985352,0.005859,-0.518799,1.037598,-0.175476 -2019-12-23 21:06:00.200,0.052734,0.981934,0.007324,-0.999451,1.022339,-0.328064 -2019-12-23 21:06:00.210,0.052246,0.979980,0.010254,-1.480102,0.991821,-0.755310 -2019-12-23 21:06:00.221,0.053711,0.981445,0.008301,-1.342773,1.091003,-0.679016 -2019-12-23 21:06:00.231,0.051758,0.982910,0.007813,-1.037598,1.106262,-0.495911 -2019-12-23 21:06:00.241,0.050781,0.983398,0.007813,-0.755310,1.098633,-0.267029 -2019-12-23 21:06:00.251,0.052734,0.982422,0.008789,-0.167847,1.129150,-0.068665 -2019-12-23 21:06:00.262,0.053711,0.981934,0.008301,0.038147,1.060486,0.076294 -2019-12-23 21:06:00.272,0.052246,0.979492,0.008301,0.083923,1.083374,0.083923 -2019-12-23 21:06:00.282,0.052734,0.982910,0.007813,0.106812,1.091003,0.144958 -2019-12-23 21:06:00.292,0.051758,0.983887,0.009277,-0.198364,1.007080,0.106812 -2019-12-23 21:06:00.302,0.051270,0.982422,0.008789,-0.549316,1.014709,-0.083923 -2019-12-23 21:06:00.313,0.050293,0.981934,0.006836,-1.251221,0.946045,-0.572205 -2019-12-23 21:06:00.323,0.052246,0.981445,0.007813,-1.892090,1.083374,-1.098633 -2019-12-23 21:06:00.333,0.051270,0.982910,0.009277,-1.403808,1.014709,-0.816345 -2019-12-23 21:06:00.344,0.050781,0.981445,0.010742,-0.747681,0.930786,-0.419617 -2019-12-23 21:06:00.354,0.051270,0.980957,0.009277,-0.236511,0.930786,-0.106812 -2019-12-23 21:06:00.364,0.050781,0.981445,0.009766,-0.015259,1.068115,0.007629 -2019-12-23 21:06:00.374,0.051758,0.981934,0.007813,0.152588,0.999451,0.129700 -2019-12-23 21:06:00.385,0.052246,0.980469,0.008789,0.190735,1.159668,0.167847 -2019-12-23 21:06:00.395,0.050293,0.983398,0.010742,0.236511,1.205444,0.137329 -2019-12-23 21:06:00.405,0.050781,0.982422,0.006836,0.381470,1.083374,0.137329 -2019-12-23 21:06:00.415,0.049316,0.982422,0.007324,0.259399,1.205444,0.205994 -2019-12-23 21:06:00.426,0.049805,0.982422,0.007813,0.129700,1.052856,0.137329 -2019-12-23 21:06:00.436,0.047852,0.981445,0.006836,0.076294,1.007080,0.000000 -2019-12-23 21:06:00.446,0.051270,0.978027,0.006348,-0.022888,1.045227,0.045776 -2019-12-23 21:06:00.456,0.051270,0.979492,0.005371,-0.267029,1.121521,0.068665 -2019-12-23 21:06:00.467,0.051270,0.984863,0.005371,-0.495911,1.068115,-0.030518 -2019-12-23 21:06:00.477,0.052734,0.982422,0.006836,-0.503540,1.113892,0.068665 -2019-12-23 21:06:00.487,0.053711,0.981934,0.007813,-0.419617,1.098633,0.000000 -2019-12-23 21:06:00.497,0.052734,0.984863,0.006836,-0.434875,1.121521,-0.106812 -2019-12-23 21:06:00.508,0.053223,0.982910,0.007324,-0.556946,1.060486,-0.205994 -2019-12-23 21:06:00.518,0.054199,0.982910,0.005859,-0.671387,1.152039,-0.221252 -2019-12-23 21:06:00.528,0.054199,0.984863,0.007324,-0.534058,1.152039,-0.251770 -2019-12-23 21:06:00.538,0.054199,0.982910,0.009766,0.061035,1.029968,0.022888 -2019-12-23 21:06:00.549,0.049805,0.979980,0.008789,0.335693,1.052856,0.183105 -2019-12-23 21:06:00.559,0.052734,0.983398,0.008301,0.167847,1.052856,0.137329 -2019-12-23 21:06:00.569,0.051270,0.981934,0.011230,0.068665,1.106262,0.106812 -2019-12-23 21:06:00.579,0.050781,0.980469,0.006836,-0.122070,1.113892,0.099182 -2019-12-23 21:06:00.590,0.050781,0.979980,0.007324,-0.419617,1.060486,0.106812 -2019-12-23 21:06:00.600,0.052246,0.981445,0.008789,-0.511169,1.106262,0.045776 -2019-12-23 21:06:00.610,0.049805,0.981934,0.009277,-0.503540,1.113892,-0.045776 -2019-12-23 21:06:00.620,0.051758,0.983887,0.008789,-0.968933,1.075745,-0.427246 -2019-12-23 21:06:00.630,0.052734,0.979492,0.008301,-1.678467,1.022339,-0.999451 -2019-12-23 21:06:00.640,0.051270,0.980469,0.010254,-1.792908,1.007080,-1.129150 -2019-12-23 21:06:00.650,0.050781,0.981934,0.008789,-2.059937,0.915527,-1.266479 -2019-12-23 21:06:00.660,0.049805,0.982910,0.011719,-2.342224,0.839233,-1.579285 -2019-12-23 21:06:00.670,0.051270,0.981934,0.011230,-2.372742,0.831604,-1.464844 -2019-12-23 21:06:00.680,0.049316,0.981445,0.009766,-1.945495,0.915527,-1.373291 -2019-12-23 21:06:00.690,0.049805,0.983887,0.013184,-1.678467,0.961304,-1.182556 -2019-12-23 21:06:00.700,0.052734,0.984863,0.012207,-1.319885,0.930786,-0.900268 -2019-12-23 21:06:00.710,0.052246,0.980469,0.013184,-0.480652,1.014709,-0.358582 -2019-12-23 21:06:00.720,0.049316,0.985352,0.013184,-0.114441,1.029968,-0.106812 -2019-12-23 21:06:00.730,0.049805,0.980957,0.009277,0.022888,1.022339,0.000000 -2019-12-23 21:06:00.740,0.050293,0.981445,0.010742,0.122070,1.029968,0.083923 -2019-12-23 21:06:00.750,0.048828,0.982422,0.012207,0.068665,1.098633,0.000000 -2019-12-23 21:06:00.760,0.048828,0.982422,0.012207,-0.068665,1.083374,0.045776 -2019-12-23 21:06:00.770,0.047363,0.980957,0.010254,-0.244141,1.075745,0.061035 -2019-12-23 21:06:00.780,0.049805,0.982422,0.011719,-0.396728,1.045227,-0.122070 -2019-12-23 21:06:00.790,0.050781,0.981445,0.011719,-0.633240,1.091003,-0.297546 -2019-12-23 21:06:00.800,0.048828,0.981445,0.010742,-0.785828,1.098633,-0.343323 -2019-12-23 21:06:00.810,0.048340,0.982910,0.010254,-1.281738,1.060486,-0.679016 -2019-12-23 21:06:00.820,0.046875,0.982422,0.013184,-1.335144,1.068115,-0.801086 -2019-12-23 21:06:00.830,0.049805,0.981445,0.012695,-1.037598,1.083374,-0.511169 -2019-12-23 21:06:00.840,0.050293,0.981934,0.013184,-0.724792,1.068115,-0.297546 -2019-12-23 21:06:00.850,0.048340,0.981445,0.008789,-0.526428,1.022339,-0.160217 -2019-12-23 21:06:00.860,0.050781,0.980957,0.008301,-0.389099,0.999451,-0.183105 -2019-12-23 21:06:00.870,0.048340,0.981934,0.011230,-0.358582,1.098633,-0.083923 -2019-12-23 21:06:00.880,0.047363,0.983887,0.014648,-0.144958,1.029968,-0.022888 -2019-12-23 21:06:00.890,0.048828,0.982910,0.011719,0.114441,1.091003,0.106812 -2019-12-23 21:06:00.900,0.048828,0.980957,0.011230,0.221252,1.052856,0.099182 -2019-12-23 21:06:00.910,0.047852,0.983887,0.013184,0.205994,1.052856,0.022888 -2019-12-23 21:06:00.920,0.047852,0.983887,0.010742,0.396728,1.014709,0.137329 -2019-12-23 21:06:00.930,0.051270,0.981934,0.011719,0.480652,1.129150,0.152588 -2019-12-23 21:06:00.940,0.049805,0.982910,0.013672,0.312805,1.098633,0.198364 -2019-12-23 21:06:00.950,0.049805,0.983887,0.012695,0.335693,1.174927,0.305176 -2019-12-23 21:06:00.960,0.048828,0.980957,0.010742,0.366211,1.129150,0.282288 -2019-12-23 21:06:00.970,0.050781,0.978516,0.011230,0.251770,1.083374,0.106812 -2019-12-23 21:06:00.980,0.047852,0.981445,0.011230,-0.137329,1.106262,0.000000 +2019-12-23 21:04:08.800,-0.011719,0.076172,0.007324,0.320435,-0.511169,15.792846 \ No newline at end of file diff --git a/tests/testthat/test_greadaccfile.R b/tests/testthat/test_greadaccfile.R index 61d44e2f9..cfc752cca 100644 --- a/tests/testthat/test_greadaccfile.R +++ b/tests/testthat/test_greadaccfile.R @@ -97,14 +97,14 @@ test_that("g.readaccfile and g.inspectfile can read movisens, gt3x, cwa, Axivity cat("\nAxivity .csv") - for (csvData in list(list(Ax3CsvFile, 2881, 2370.08, ax3_start_timestamp), - list(Ax6CsvFile, 2875, 1064.66, ax6_start_timestamp))) { + for (csvData in list(list(Ax3CsvFile, 200, -11.80, ax3_start_timestamp), + list(Ax6CsvFile, 200, 14.84, ax6_start_timestamp))) { IAxivityCsv = g.inspectfile(csvData[[1]], params_rawdata = params_rawdata, params_general = params_general) expect_equal(IAxivityCsv$monc, MONITOR$AXIVITY) expect_equal(IAxivityCsv$dformc, FORMAT$CSV) - csv_read = g.readaccfile(csvData[[1]], blocksize = 10, blocknumber = 1, filequality = filequality, - dayborder = dayborder, ws = 2, + csv_read = g.readaccfile(csvData[[1]], blocksize = 1, blocknumber = 1, filequality = filequality, + dayborder = dayborder, ws = 1, PreviousEndPage = 1, inspectfileobject = IAxivityCsv, params_rawdata = params_rawdata, params_general = params_general) From b63d26aa964134296fa501a552c60f7167e8e951 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 6 Feb 2024 02:13:17 -0500 Subject: [PATCH 127/149] wear column can stay numeric. We convert the result to numeric by multiplying by 3 anyway. --- R/detect_nonwear_clipping.R | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/R/detect_nonwear_clipping.R b/R/detect_nonwear_clipping.R index 65b0fa7c1..52ee1aaa6 100644 --- a/R/detect_nonwear_clipping.R +++ b/R/detect_nonwear_clipping.R @@ -46,9 +46,8 @@ detect_nonwear_clipping = function(data = c(), windowsizes = c(5, 900, 3600), sf } # --- if ("wear" %in% colnames(data)) { - wearcol = as.logical(data[, "wear"]) - wearTable = table(wearcol[(1 + hoc1):hoc2], useNA = "no") - NWav[h] = as.logical(tail(names(sort(wearTable)), 1)) * 3 # times 3 to simulate heuristic approach + wearTable = table(data[(1 + hoc1):hoc2, "wear"], useNA = "no") + NWav[h] = as.numeric(tail(names(sort(wearTable)), 1)) * 3 # times 3 to simulate heuristic approach } xyzCol = which(colnames(data) %in% c("x", "y", "z")) for (jj in seq(3)) { From 3ce6487dd47bf70b1f137fbb0d7471981f5d8d92 Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 6 Feb 2024 15:42:32 -0500 Subject: [PATCH 128/149] don't add 1 to hoc1. We add 1 to it when we use it Every time hoc1 is used, 1 is added to it. So there's no need to add 1 when computing hoc1 in the first place. Otherwise we always skip the first element of the window. --- R/detect_nonwear_clipping.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/detect_nonwear_clipping.R b/R/detect_nonwear_clipping.R index 52ee1aaa6..80c16a026 100644 --- a/R/detect_nonwear_clipping.R +++ b/R/detect_nonwear_clipping.R @@ -38,8 +38,8 @@ detect_nonwear_clipping = function(data = c(), windowsizes = c(5, 900, 3600), sf NWflag = h:(h + window/window2 - 1) if (NWflag[length(NWflag)] > nmin) NWflag = NWflag[-which(NWflag > nmin)] # window to check (not aggregated values) - hoc1 = h * window2 - window2 + 1 - hoc2 = hoc1 + window - 1 + hoc1 = h * window2 - window2 + hoc2 = hoc1 + window if (hoc2 > nrow(data)) { hoc2 = nrow(data) } From e6b68d7b52ea18b2aac07811a9d21e17273c304d Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 6 Feb 2024 17:48:17 -0500 Subject: [PATCH 129/149] reverting unnecessary change --- R/applyExtFunction.R | 4 ---- 1 file changed, 4 deletions(-) diff --git a/R/applyExtFunction.R b/R/applyExtFunction.R index e0e4b2175..c3ad195d0 100644 --- a/R/applyExtFunction.R +++ b/R/applyExtFunction.R @@ -1,8 +1,4 @@ applyExtFunction = function(data, myfun, sf, ws3,interpolationType=1) { - - # data should be a 3 column matrix with the x, y, and z acceleration - data = data[, c("x", "y", "z")] - # check myfun object check_myfun(myfun, windowsizes=ws3) # unit correction From 53dfbf99580a254659e1dc0f58cf6ff150e46570 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 7 Feb 2024 00:33:00 -0500 Subject: [PATCH 130/149] readacctife returns Unix timestamps, so read.myacc should too Removing an unnecessaty conversion to POSIXct. Also added the missing origin = rmc.origin specification for rmc.unit.time == "character" --- R/read.myacc.csv.R | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 77a4575e9..c95754434 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -26,6 +26,10 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", configtz = NULL, header = NULL) { + if (length(rmc.col.time) > 0 && !(rmc.unit.time %in% c("POSIX", "character", "UNIXsec", "ActivPAL"))) { + stop("\nUnrecognized rmc.col.time value. The only accepted values are \"POSIX\", \"character\", \"UNIXsec\", and \"ActivPAL\".", call. = FALSE) + } + if (!is.null(rmc.desiredtz) || !is.null(rmc.configtz)) { generalWarning = paste0("Argument rmc.desiredtz and rmc.configtz are scheduled to be deprecated", " and will be replaced by the existing arguments desiredtz and configtz, respectively.") @@ -248,8 +252,8 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", } } } else if (rmc.unit.time == "character") { - P$time = as.POSIXct(P$time,format = rmc.format.time, tz = configtz) - } else if (rmc.unit.time == "UNIXsec") { + P$time = as.POSIXct(P$time, format = rmc.format.time, origin = rmc.origin, tz = configtz) + } else if (rmc.unit.time == "UNIXsec" && rmc.origin != "1970-01-01") { P$time = as.POSIXct(P$time, origin = rmc.origin, tz = desiredtz) } else if (rmc.unit.time == "ActivPAL") { # origin should be specified as: "1899-12-30" @@ -263,9 +267,9 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", if (length(which(is.na(P$time) == FALSE)) == 0) { stop("\nExtraction of timestamps unsuccesful, check timestamp format arguments") } - } - if (!(rmc.unit.time %in% c("UNIXsec", "ActivPAL")) && (configtz != desiredtz)) { - P$time = as.POSIXct(P$time, tz = desiredtz, origin = "1970-01-01") + if(!is.numeric(P$time)) { # we'll return Unix timestamps + P$time = as.numeric(P$time) + } } # If acceleration is stored in mg units then convert to gravitational units From d2d6b31fe5ee256484de4ca375bc72fc33d9bc07 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 7 Feb 2024 01:35:13 -0500 Subject: [PATCH 131/149] clean up resampling --- R/read.myacc.csv.R | 22 ++++++---------------- tests/testthat/test_read.myacc.csv.R | 2 +- 2 files changed, 7 insertions(+), 17 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index c95754434..67a7d5f02 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -318,25 +318,15 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", PreviousLastValue = P[nrow(P), c("x", "y", "z")] PreviousLastTime = as.POSIXct(P[nrow(P), "time"]) } - if (rmc.doresample == TRUE) { #resample - rawTime = as.numeric(as.POSIXct(P$time,tz = configtz)) + if (rmc.doresample == TRUE && ("time" %in% colnames(P))) { # resample + rawTime = P$time rawAccel = as.matrix(P[,-c(which(colnames(P) == "time"))]) - step = 1/sf - start = rawTime[1] - end = rawTime[length(rawTime)] - timeRes = seq(start, end, step) - nr = length(timeRes) - 1 - timeRes = as.vector(timeRes[1:nr]) - rawLast = nrow(rawAccel) - accelRes = GGIRread::resample(rawAccel, rawTime, timeRes, rawLast, interpolationType) # this is now the resampled acceleration data - colnamesP = colnames(P) - timeRes = as.POSIXct(timeRes, origin = rmc.origin, tz = configtz) + timeRes = seq(from = rawTime[1], to = rawTime[length(rawTime)], by = 1/sf) + accelRes = GGIRread::resample(rawAccel, rawTime, timeRes, nrow(rawAccel), interpolationType) # this is now the resampled acceleration data + colnamesP = colnames(P)[-which(colnames(P) == "time")] P = as.data.frame(accelRes, stringsAsFactors = FALSE) - P$time = timeRes - P = P[,c(ncol(P),1:(ncol(P) - 1))] colnames(P) = colnamesP - P$time = as.POSIXct(as.numeric(P$time), - tz = desiredtz, origin = "1970-01-01") + P$time = timeRes } return(list(data = P, header = header, PreviousLastValue = PreviousLastValue, diff --git a/tests/testthat/test_read.myacc.csv.R b/tests/testthat/test_read.myacc.csv.R index de7fde65d..db1fe20ff 100644 --- a/tests/testthat/test_read.myacc.csv.R +++ b/tests/testthat/test_read.myacc.csv.R @@ -397,7 +397,7 @@ test_that("read.myacc.csv can handle gaps in time and irregular sample rate", { rmc.headername.sn = "serial_number", rmc.headername.recordingid = "ID", rmc.check4timegaps = TRUE, rmc.doresample = TRUE) - expect_that(nrow(D2$data), equals(169)) # because data expands with 5 seconds that are now imputed + expect_that(nrow(D2$data), equals(170)) # because data expands with 5 seconds that are now imputed expect_that(ncol(D2$data), equals(5)) From d067fca0049a93fb0d8bc7b71ac350308cc812d1 Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 7 Feb 2024 01:41:58 -0500 Subject: [PATCH 132/149] Addressing "as.POSIXct/lt.numeric 'origin' must be supplied" error on Ubuntu oldrel --- R/read.myacc.csv.R | 2 +- tests/testthat/test_read.myacc.csv.R | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/R/read.myacc.csv.R b/R/read.myacc.csv.R index 67a7d5f02..6feb08c4c 100644 --- a/R/read.myacc.csv.R +++ b/R/read.myacc.csv.R @@ -316,7 +316,7 @@ read.myacc.csv = function(rmc.file=c(), rmc.nrow=Inf, rmc.skip=c(), rmc.dec=".", PreviousLastTime = PreviousLastTime, epochsize = NULL) P = P$x PreviousLastValue = P[nrow(P), c("x", "y", "z")] - PreviousLastTime = as.POSIXct(P[nrow(P), "time"]) + PreviousLastTime = as.POSIXct(P[nrow(P), "time"], origin = "1970-01-01") } if (rmc.doresample == TRUE && ("time" %in% colnames(P))) { # resample rawTime = P$time diff --git a/tests/testthat/test_read.myacc.csv.R b/tests/testthat/test_read.myacc.csv.R index db1fe20ff..567d6501a 100644 --- a/tests/testthat/test_read.myacc.csv.R +++ b/tests/testthat/test_read.myacc.csv.R @@ -115,8 +115,8 @@ test_that("read.myacc.csv can handle files without header, no decimal places in # Evaluate with decimal places in seconds expect_equal(nrow(D1$data), 20) expect_equal(ncol(D1$data), 5) - expect_equal(strftime(D1$data$time[1:5], format = '%Y-%m-%d %H:%M:%OS2', - tz = "Europe/London"), + expect_equal(strftime(as.POSIXct(D1$data$time[1:5], tz = "Europe/London", origin = "1970-01-01"), + format = '%Y-%m-%d %H:%M:%OS2', tz = "Europe/London"), c("2022-11-02 13:01:16.00", "2022-11-02 13:01:16.03", "2022-11-02 13:01:16.06", @@ -138,8 +138,8 @@ test_that("read.myacc.csv can handle files without header, no decimal places in rmc.headername.recordingid = "ID") expect_equal(nrow(D2$data), 20) expect_equal(ncol(D2$data), 5) - expect_equal(strftime(D2$data$time[1:5], format = '%Y-%m-%d %H:%M:%OS2', - tz = "Europe/London"), + expect_equal(strftime(as.POSIXct(D2$data$time[1:5], tz = "Europe/London", origin = "1970-01-01"), + format = '%Y-%m-%d %H:%M:%OS2', tz = "Europe/London"), c("2022-11-02 18:01:16.50", "2022-11-02 18:01:16.53", "2022-11-02 18:01:16.56", "2022-11-02 18:01:16.59", "2022-11-02 18:01:16.63")) From d39737841eaaf8a9c79c3f6c0509c1c1e78e2150 Mon Sep 17 00:00:00 2001 From: Vincent van Hees Date: Wed, 7 Feb 2024 17:38:21 +0100 Subject: [PATCH 133/149] hardcoded windowsizes in g.calibrate, factor out g.downsample, and tidy up g.calibrate #883 See also https://github.com/wadpac/GGIR/pull/1027#discussion_r1481495749 --- NAMESPACE | 2 +- R/check_params.R | 11 +--- R/g.calibrate.R | 142 ++++++++++++++++++++++---------------------- R/g.downsample.R | 13 ---- man/g.downsample.Rd | 41 ------------- 5 files changed, 72 insertions(+), 137 deletions(-) delete mode 100644 R/g.downsample.R delete mode 100644 man/g.downsample.Rd diff --git a/NAMESPACE b/NAMESPACE index 87c1d235b..e99869c32 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -7,7 +7,7 @@ export(g.analyse, g.calibrate, GGIR, g.shell.GGIR, g.getbout, g.abr.day.names, g.applymetrics, g.create.sp.mat, g.detecmidnight, - g.dotorcomma, g.downsample, g.extractheadervars, + g.dotorcomma, g.extractheadervars, g.getM5L5, g.getstarttime, g.loadlog, g.plot5, g.readaccfile, diff --git a/R/check_params.R b/R/check_params.R index 4c0d8550a..a91294b6c 100644 --- a/R/check_params.R +++ b/R/check_params.R @@ -146,16 +146,7 @@ check_params = function(params_sleep = c(), params_metrics = c(), "The short windowsize has now been automatically adjusted to ", ws3, " seconds in order to meet this criteria.\n"), call. = FALSE) } - - ws4 = 10 #epoch for recalibration, don't change - if (ws/ws4 != round(ws/ws4)) { - ws = as.numeric(ws4 * ceiling(ws/ws4)) - warning(paste0("The windowsize for assessing non-wear needs to be a multitude of ", ws4, - "\n This windowsize has now been automatically adjusted to ", - ws, " seconds in order to meet this criteria.\n"), call. = FALSE) - } - - params_general[["windowsizes"]] = c(ws3, ws2, ws, ws4) + params_general[["windowsizes"]] = c(ws3, ws2, ws) } #----------------------------------------------------------------------------------- # Check value combinations and apply corrections if not logical diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 6fa6ab556..545d48dca 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -22,14 +22,26 @@ g.calibrate = function(datafile, params_rawdata = c(), params_cleaning = params$params_cleaning params_general = params$params_general } - + #----------------- + # Define local functions: + rollMean = function(x, fs, epochSize) { + x = cumsum(c(0, x)) + select = seq(1, length(x), by = fs * epochSize) + y = diff(x[round(select)]) / abs(diff(round(select[1:(length(select))]))) + return(y) + } + rollSD = function(x, sf, epochSize) { + dim(x) = c(sf * epochSize, ceiling(length(x) / (sf * epochSize))) + y = apply(x, 2, sd) + return(y) + } + #----------------- use.temp = temp.available = TRUE filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, filedoesnotholdday = FALSE, stringsAsFactors = FALSE) - ws4 = params_general[["windowsizes"]][4] #epoch for recalibration - ws2 = params_general[["windowsizes"]][2] #dummy variable - ws = params_general[["windowsizes"]][3] # window size for assessing non-wear time (seconds) + calibEpochSize = 10 # epoch for recalibration as used in the 2014 paper + blockResolution = 3600 # resolution at which raw data is loaded and processed (seconds) cal.error.start = cal.error.end = c() spheredata = c() tempoffset = c() @@ -60,7 +72,7 @@ g.calibrate = function(datafile, params_rawdata = c(), #creating matrices for storing output S = matrix(0,0,4) #dummy variable needed to cope with head-tailing succeeding blocks of data - NR = ceiling((90*10^6) / (sf*ws4)) + 1000 #NR = number of 'ws4' second rows (this is for 10 days at 80 Hz) + NR = ceiling((90*10^6) / (sf*calibEpochSize)) + 1000 #NR = number of rows to initialise features matrix with # setting size of blocks that are loaded (too low slows down the process) # the setting below loads blocks size of 12 hours (modify if causing memory problems) @@ -91,7 +103,7 @@ g.calibrate = function(datafile, params_rawdata = c(), #try to read data blocks based on monitor type and data format options(warn=-1) #turn off warnings (code complains about unequal rowlengths accread = g.readaccfile(filename = datafile, blocksize = blocksize, blocknumber = i, - filequality = filequality, ws = ws, + filequality = filequality, ws = blockResolution, PreviousEndPage = PreviousEndPage, inspectfileobject = INFI, params_rawdata = params_rawdata, params_general = params_general, header = header) @@ -102,9 +114,9 @@ g.calibrate = function(datafile, params_rawdata = c(), if (i == 1) { use.temp = temp.available = ("temperature" %in% colnames(accread$P$data)) if (use.temp) { - meta = matrix(99999,NR,8) # for metadata + features = matrix(99999, NR, 8) } else { - meta = matrix(99999,NR,7) + features = matrix(99999, NR, 7) } } @@ -131,7 +143,7 @@ g.calibrate = function(datafile, params_rawdata = c(), } LD = nrow(data) #store data that could not be used for this block, but will be added to next block - use = (floor(LD / (ws*sf))) * (ws*sf) #number of datapoint to use + use = (floor(LD / (blockResolution*sf))) * (blockResolution*sf) #number of datapoint to use if (length(use) > 0) { if (use > 0) { if (use != LD) { @@ -144,7 +156,7 @@ g.calibrate = function(datafile, params_rawdata = c(), Gy = data[, "y"] Gz = data[, "z"] - if(use.temp) { + if (use.temp) { if (mean(data[1:10, "temperature"], na.rm = TRUE) > 120) { warning("\ntemperature ignored for auto-calibration because values are too high\n") use.temp = FALSE @@ -154,41 +166,27 @@ g.calibrate = function(datafile, params_rawdata = c(), } } #============================================= - # non-integer sample frequency is a pain for deriving epoch based sd - # however, with an epoch of 10 seconds it is an integer number of samples per epoch - EN = sqrt(Gx^2 + Gy^2 + Gz^2) - D1 = g.downsample(EN,sf,ws4,ws2) - EN2 = D1$var2 - # mean acceleration - D1 = g.downsample(Gx,sf,ws4,ws2); GxM2 = D1$var2 - D1 = g.downsample(Gy,sf,ws4,ws2); GyM2 = D1$var2 - D1 = g.downsample(Gz,sf,ws4,ws2); GzM2 = D1$var2 - if (use.temp == TRUE) { - D1 = g.downsample(data[, "temperature"],sf,ws4,ws2); - TemperatureM2 = D1$var2 - } - #sd acceleration - dim(Gx) = c(sf*ws4,ceiling(length(Gx)/(sf*ws4))); GxSD2 = apply(Gx,2,sd) - dim(Gy) = c(sf*ws4,ceiling(length(Gy)/(sf*ws4))); GySD2 = apply(Gy,2,sd) - dim(Gz) = c(sf*ws4,ceiling(length(Gz)/(sf*ws4))); GzSD2 = apply(Gz,2,sd) - #----------------------------------------------------- #expand 'out' if it is expected to be too short - if (count > (nrow(meta) - (2.5 * (3600/ws4) * 24))) { - extension = matrix(99999, ((3600/ws4) * 24), ncol(meta)) - meta = rbind(meta,extension) + if (count > (nrow(features) - (2.5 * (3600/calibEpochSize) * 24))) { + extension = matrix(99999, ((3600/calibEpochSize) * 24), ncol(features)) + features = rbind(features, extension) } - #storing in output matrix - meta[count:(count - 1 + length(EN2)), 1] = EN2 - meta[count:(count - 1 + length(EN2)), 2] = GxM2 - meta[count:(count - 1 + length(EN2)), 3] = GyM2 - meta[count:(count - 1 + length(EN2)), 4] = GzM2 - meta[count:(count - 1 + length(EN2)), 5] = GxSD2 - meta[count:(count - 1 + length(EN2)), 6] = GySD2 - meta[count:(count - 1 + length(EN2)), 7] = GzSD2 + # mean acceleration for EN, x, y, and z + EN = sqrt(Gx^2 + Gy^2 + Gz^2) + EN2 = rollMean(EN, sf, calibEpochSize) + endCount = count - 1 + length(EN2) + features[count:endCount, 1] = EN2 + features[count:endCount, 2] = rollMean(Gx, sf, calibEpochSize) + features[count:endCount, 3] = rollMean(Gy, sf, calibEpochSize) + features[count:endCount, 4] = rollMean(Gz, sf, calibEpochSize) + # sd acceleration + features[count:endCount, 5] = rollSD(Gx, sf, calibEpochSize) + features[count:endCount, 6] = rollSD(Gy, sf, calibEpochSize) + features[count:endCount, 7] = rollSD(Gz, sf, calibEpochSize) if (use.temp == TRUE) { - meta[count:(count - 1 + length(EN2)), 8] = TemperatureM2 + features[count:endCount, 8] = rollMean(data[, "temperature"], sf, calibEpochSize) } - count = count + length(EN2) #increasing "count": the indicator of how many seconds have been read + count = endCount + 1 # increasing count, the indicator of how many timesteps (calibEpochSize) have been read rm(Gx); rm(Gy); rm(Gz) # Update blocksize depending on available memory: BlocksizeNew = updateBlocksize(blocksize = blocksize, bsc_qc = bsc_qc) @@ -204,14 +202,14 @@ g.calibrate = function(datafile, params_rawdata = c(), if (isLastBlock) { LD = 0 } - meta_temp = data.frame(V = meta, stringsAsFactors = FALSE) - cut = which(meta_temp[,1] == 99999) + features_temp = data.frame(V = features, stringsAsFactors = FALSE) + cut = which(features_temp[,1] == 99999) if (length(cut) > 0) { - meta_temp = meta_temp[-cut,] + features_temp = features_temp[-cut,] } - nhoursused = (nrow(meta_temp) * 10) / 3600 - if (nrow(meta_temp) > (params_rawdata[["minloadcrit"]] - 21)) { # enough data for the sphere? - meta_temp = meta_temp[-1,] + nhoursused = (nrow(features_temp) * 10) / 3600 + if (nrow(features_temp) > (params_rawdata[["minloadcrit"]] - 21)) { # enough data for the sphere? + features_temp = features_temp[-1,] #select parts with no movement if (mon == MONITOR$AD_HOC) { if (length(params_rawdata[["rmc.noise"]]) == 0) { @@ -226,28 +224,28 @@ g.calibrate = function(datafile, params_rawdata = c(), } else { sdcriter = 0.013 } - nomovement = which(meta_temp[,5] < sdcriter & meta_temp[,6] < sdcriter & meta_temp[,7] < sdcriter & - abs(as.numeric(meta_temp[,2])) < 2 & abs(as.numeric(meta_temp[,3])) < 2 & - abs(as.numeric(meta_temp[,4])) < 2) #the latter three are to reduce chance of including clipping periods + nomovement = which(features_temp[,5] < sdcriter & features_temp[,6] < sdcriter & features_temp[,7] < sdcriter & + abs(as.numeric(features_temp[,2])) < 2 & abs(as.numeric(features_temp[,3])) < 2 & + abs(as.numeric(features_temp[,4])) < 2) #the latter three are to reduce chance of including clipping periods if (length(nomovement) < 10) { # take only one row to trigger that autocalibration is skipped # with the QCmessage that there is not enough data - meta_temp = meta_temp[1, ] + features_temp = features_temp[1, ] } else { - meta_temp = meta_temp[nomovement,] + features_temp = features_temp[nomovement,] } - dup = which(rowSums(meta_temp[1:(nrow(meta_temp) - 1), 2:7] == meta_temp[2:nrow(meta_temp), 2:7]) == 3) # remove duplicated values - if (length(dup) > 0) meta_temp = meta_temp[-dup,] + dup = which(rowSums(features_temp[1:(nrow(features_temp) - 1), 2:7] == features_temp[2:nrow(features_temp), 2:7]) == 3) # remove duplicated values + if (length(dup) > 0) features_temp = features_temp[-dup,] rm(nomovement, dup) - if (min(dim(meta_temp)) > 1) { - meta_temp = meta_temp[(is.na(meta_temp[,4]) == F & is.na(meta_temp[,1]) == F),] - npoints = nrow(meta_temp) - cal.error.start = sqrt(as.numeric(meta_temp[,2])^2 + as.numeric(meta_temp[,3])^2 + as.numeric(meta_temp[,4])^2) + if (min(dim(features_temp)) > 1) { + features_temp = features_temp[(is.na(features_temp[,4]) == F & is.na(features_temp[,1]) == F),] + npoints = nrow(features_temp) + cal.error.start = sqrt(as.numeric(features_temp[,2])^2 + as.numeric(features_temp[,3])^2 + as.numeric(features_temp[,4])^2) cal.error.start = round(mean(abs(cal.error.start - 1)), digits = 5) #check whether sphere is well populated tel = 0 for (axis in 2:4) { - if ( min(meta_temp[,axis]) < -params_rawdata[["spherecrit"]] & max(meta_temp[,axis]) > params_rawdata[["spherecrit"]]) { + if ( min(features_temp[,axis]) < -params_rawdata[["spherecrit"]] & max(features_temp[,axis]) > params_rawdata[["spherecrit"]]) { tel = tel + 1 } } @@ -259,19 +257,19 @@ g.calibrate = function(datafile, params_rawdata = c(), } } else { QC = "recalibration not done because no non-movement data available" - meta_temp = c() + features_temp = c() } } else { QC = "recalibration not done because not enough data in the file or because file is corrupt" } if (spherepopulated == 1) { #only try to improve calibration if there are enough datapoints around the sphere #--------------------------------------------------------------------------- - # START of Zhou Fang's code (slightly edited by vtv21 to use matrix meta_temp from above + # START of Zhou Fang's code (slightly edited by vtv21 to use matrix features_temp from above # instead the similar matrix generated by Zhou Fang's original code. This to allow for - # more data to be used as meta_temp can now be based on 10 or more days of raw data - input = meta_temp[,2:4] + # more data to be used as features_temp can now be based on 10 or more days of raw data + input = features_temp[,2:4] if (use.temp == TRUE) { - inputtemp = cbind(as.numeric(meta_temp[,8]),as.numeric(meta_temp[,8]),as.numeric(meta_temp[,8])) #temperature + inputtemp = cbind(as.numeric(features_temp[,8]),as.numeric(features_temp[,8]),as.numeric(features_temp[,8])) #temperature } else { inputtemp = matrix(0, nrow(input), ncol(input)) #temperature, here used as a dummy variable } @@ -330,16 +328,16 @@ g.calibrate = function(datafile, params_rawdata = c(), if (abs(res[iter + 1] - res[iter]) < tol) break } if (use.temp == FALSE) { - meta_temp2 = scale(as.matrix(meta_temp[,2:4]),center = -offset, scale = 1/scale) + features_temp2 = scale(as.matrix(features_temp[,2:4]),center = -offset, scale = 1/scale) } else { - yy = as.matrix(cbind(as.numeric(meta_temp[,8]),as.numeric(meta_temp[,8]),as.numeric(meta_temp[,8]))) - meta_temp2 = scale(as.matrix(meta_temp[,2:4]),center = -offset, scale = 1/scale) + + yy = as.matrix(cbind(as.numeric(features_temp[,8]),as.numeric(features_temp[,8]),as.numeric(features_temp[,8]))) + features_temp2 = scale(as.matrix(features_temp[,2:4]),center = -offset, scale = 1/scale) + scale(yy, center = rep(meantemp,3), scale = 1/tempoffset) } #equals: D2[,axis] = (D[,axis] + offset[axis]) / (1/scale[axis]) # END of Zhou Fang's code #------------------------------------------- - cal.error.end = sqrt(meta_temp2[,1]^2 + meta_temp2[,2]^2 + meta_temp2[,3]^2) - rm(meta_temp2) + cal.error.end = sqrt(features_temp2[,1]^2 + features_temp2[,2]^2 + features_temp2[,3]^2) + rm(features_temp2) cal.error.end = round(mean(abs(cal.error.end - 1)), digits = 5) # assess whether calibration error has sufficiently been improved if (cal.error.end < cal.error.start & cal.error.end < 0.01 & nhoursused > params_rawdata[["minloadcrit"]]) { #do not change scaling if there is no evidence that calibration improves @@ -367,8 +365,8 @@ g.calibrate = function(datafile, params_rawdata = c(), QC = "recalibration not done because recalibration does not decrease error" } } - if (all(dim(meta_temp)) != 0) { # change 2022-08-18 to handle when filetooshort = TRUE (7 columns, empty rows) - spheredata = meta_temp + if (all(dim(features_temp)) != 0) { # change 2022-08-18 to handle when filetooshort = TRUE (7 columns, empty rows) + spheredata = features_temp if (use.temp == TRUE) { names(spheredata) = c("Euclidean Norm","meanx","meany","meanz","sdx","sdy","sdz","temperature") } else { @@ -377,7 +375,7 @@ g.calibrate = function(datafile, params_rawdata = c(), } else { spheredata = c() } - rm(meta_temp) + rm(features_temp) QCmessage = QC if (params_rawdata[["printsummary"]] == TRUE & verbose == TRUE) { cat("\nSummary of autocalibration procedure:") diff --git a/R/g.downsample.R b/R/g.downsample.R deleted file mode 100644 index ebd217c3a..000000000 --- a/R/g.downsample.R +++ /dev/null @@ -1,13 +0,0 @@ -g.downsample = function(sig,fs,ws3,ws2) { - #averaging per second => var1 - sig2 =cumsum(c(0,sig)) - select = seq(1,length(sig2),by=fs) - var1 = diff(sig2[round(select)]) / abs(diff(round(select[1:(length(select))]))) - #averaging per ws3 => var2 (e.g. 5 seconds) - select = seq(1,length(sig2),by=fs*ws3) - var2 = diff(sig2[round(select)]) / abs(diff(round(select[1:(length(select))]))) - #averaging per ws2 => var3 (e.g. 15 minutes) - select = seq(1,length(sig2),by=fs*ws2) - var3 = diff(sig2[round(select)]) / abs(diff(round(select[1:(length(select))]))) - invisible(list(var1=var1,var2=var2,var3=var3)) -} diff --git a/man/g.downsample.Rd b/man/g.downsample.Rd deleted file mode 100644 index 4427d3c6a..000000000 --- a/man/g.downsample.Rd +++ /dev/null @@ -1,41 +0,0 @@ -\name{g.downsample} -\alias{g.downsample} -\title{ - Downsample a vector of numeric values at three time resolutions -} -\description{ - Downsamples a vector of numeric values at three time resolutions: - 1 seconds, ws3 seconds, and ws2 second. Function is not intended - for direct interaction by package end user - -} -\usage{ - g.downsample(sig,fs,ws3,ws2) -} -\arguments{ - \item{sig}{ - Vector of numeric values - } - \item{fs}{ - Sample frequency - } - \item{ws3}{ - ws3 epoch size, e.g. 5 seconds - } - \item{ws2}{ - ws2 epoch size, e.g. 90 seconds - } -} -\value{ -List with three object: var1, var2, and var3 -corresponding to downsample time series at -1 seconds, ws2 seconds, and ws3 seconds resoluton, respectively -} -\examples{ - sig = runif(n=10000,min=1,max=10) - downsampled_sig = g.downsample(sig,fs=20,ws3=5,ws2=15) -} -\keyword{internal} -\author{ -Vincent T van Hees -} From 829761de557c9b0c0f5ec396802971c0decfb7ac Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 7 Feb 2024 14:24:18 -0500 Subject: [PATCH 134/149] warn if files were skipped due to small size Otherwise people are sometimes confused with the "No files to analyze" error when there are actually files in datadir (but they are too small). --- R/g.part1.R | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/R/g.part1.R b/R/g.part1.R index f8abeb5ee..88357b7eb 100644 --- a/R/g.part1.R +++ b/R/g.part1.R @@ -27,11 +27,23 @@ g.part1 = function(datadir = c(), metadatadir = c(), f0 = 1, f1 = c(), myfun = c filesizes = file.size(fnamesfull) # in bytes bigEnough = which(filesizes/1e6 > params_rawdata[["minimumFileSizeMB"]]) fnamesfull = fnamesfull[bigEnough] + + if (length(bigEnough) > 0) { + fnames_toosmall = fnames[-bigEnough] + } else { + fnames_toosmall = fnames + } + fnames = fnames[bigEnough] + if (verbose && length(fnames_toosmall) > 0) { + warning(paste0("\nSkipping files that are too small for analysis: ", toString(fnames_toosmall), + " (configurable with parameter minimumFileSizeMB)."), call. = FALSE) + } + if (length(fnamesfull) == 0) { stop(paste0("\nNo files to analyse. Check that there are accelerometer files ", - "in the directory specified with argument datadir")) + "in the directory specified with argument datadir"), call. = FALSE) } # create output directory if it does not exist From 8f308add906948f5efc38e3cff059ffb904988dc Mon Sep 17 00:00:00 2001 From: l-k- Date: Wed, 7 Feb 2024 15:32:55 -0500 Subject: [PATCH 135/149] P gets reused to store g.imputeTimegaps() output So by the time get_starttime_weekday_truncdata() is called in g.getmeta(), P could have different contents, depending on whether time gaps were imputed or not. --- R/g.getmeta.R | 13 +++++++------ R/g.getstarttime.R | 6 +++--- R/get_starttime_weekday_truncdata.R | 7 ++----- man/g.getstarttime.Rd | 6 +++--- man/get_starttime_weekday_truncdata.Rd | 5 +---- 5 files changed, 16 insertions(+), 21 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 5ff12573b..2c274a664 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -246,6 +246,10 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), QClog = rbind(QClog, P$QClog) } + if (exists("P")) { + rm(P); gc() + } + data = as.matrix(data, rownames.force = FALSE) #add leftover data from last time if (nrow(S) > 0) { @@ -264,12 +268,11 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } } } - data = suppressWarnings(rbind(S,data)) # suppress warnings about string as factor + data = rbind(S,data) } if (i == 1) { SWMT = get_starttime_weekday_truncdata(mon, dformat, - data, - P, header, desiredtz = params_general[["desiredtz"]], + data, header, desiredtz = params_general[["desiredtz"]], sf, datafile, ws2, starttime, wday, wdayname, configtz = params_general[["configtz"]]) starttime = SWMT$starttime @@ -278,9 +281,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), rm(SWMT) } - if (i != 0 && exists("P")) { - rm(P); gc() - } + LD = nrow(data) if (LD < (ws*sf) && i == 1) { warning('\nWarning data too short for doing non-wear detection 3\n') diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index 0488e1bc9..f3b046acc 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -1,10 +1,10 @@ -g.getstarttime = function(datafile, P, mon, dformat, desiredtz, configtz = NULL) { +g.getstarttime = function(datafile, data, mon, dformat, desiredtz, configtz = NULL) { starttime = NULL if (is.null(configtz)) { configtz = desiredtz } - if ("time" %in% colnames(P$data)) { - starttime = as.POSIXlt(P$data$time[1], tz = desiredtz, origin = "1970-01-01") + if ("time" %in% colnames(data)) { + starttime = as.POSIXlt(data[1, "time"], tz = desiredtz, origin = "1970-01-01") } else if (mon == MONITOR$MOVISENS) { starttime = unisensR::readUnisensStartTime(dirname(datafile)) diff --git a/R/get_starttime_weekday_truncdata.R b/R/get_starttime_weekday_truncdata.R index cd978ea24..60ec6b948 100644 --- a/R/get_starttime_weekday_truncdata.R +++ b/R/get_starttime_weekday_truncdata.R @@ -1,5 +1,5 @@ get_starttime_weekday_truncdata = function(monc, dformat, data, - P, header, desiredtz, sf, datafile, + header, desiredtz, sf, datafile, ws2, starttime, wday, wdayname, configtz = NULL) { # ensures that first window starts at logical timepoint relative to its size # (15,30,45 or 60 minutes of each hour) @@ -7,15 +7,12 @@ get_starttime_weekday_truncdata = function(monc, dformat, data, starttime = g.getstarttime( # this will return a POSIXlt object datafile = datafile, - P = P, + data = data, mon = monc, dformat = dformat, desiredtz = desiredtz, configtz = configtz ) - if (exists("P")) { - rm(P); gc() - } # assess weekday wday = starttime$wday #day of the week 0-6 and 0 is Sunday diff --git a/man/g.getstarttime.Rd b/man/g.getstarttime.Rd index 910da32b5..12ace85bc 100644 --- a/man/g.getstarttime.Rd +++ b/man/g.getstarttime.Rd @@ -9,15 +9,15 @@ for direct use by package user } \usage{ - g.getstarttime(datafile, P, mon, dformat, desiredtz, + g.getstarttime(datafile, data, mon, dformat, desiredtz, configtz = NULL) } \arguments{ \item{datafile}{ Full path to data file } - \item{P}{ - Object extracted with \link{g.readaccfile} + \item{data}{ + Data part of \link{g.readaccfile} output } \item{mon}{ Same as in \link{g.dotorcomma} diff --git a/man/get_starttime_weekday_truncdata.Rd b/man/get_starttime_weekday_truncdata.Rd index ace81a195..5ae65bc27 100644 --- a/man/get_starttime_weekday_truncdata.Rd +++ b/man/get_starttime_weekday_truncdata.Rd @@ -13,7 +13,7 @@ } \usage{ get_starttime_weekday_truncdata(monc, - dformat, data, P, header, desiredtz, sf, + dformat, data, header, desiredtz, sf, datafile, ws2, starttime, wday, wdayname, configtz = NULL) } \arguments{ @@ -26,9 +26,6 @@ \item{data}{ Data part of \link{g.readaccfile} output } - \item{P}{ - data loaded from accelerometer file with \link{g.readaccfile} - } \item{header}{ Header part of \link{g.readaccfile} output } From 6504623a93ee344261475dd9deef7b78050c8c1a Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 9 Feb 2024 00:01:44 -0500 Subject: [PATCH 136/149] use lubridate::force_tz b/c as.POSIXlt is expensive I was trying to avoid dragging in the lubridate library, but as.POSIXlt is just crazy expensive, made g.readaccfile 10x slower for gt3x files. --- DESCRIPTION | 2 +- R/g.getstarttime.R | 5 +---- R/g.readaccfile.R | 19 ++++++++----------- 3 files changed, 10 insertions(+), 16 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 750ecd968..90810f23f 100755 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -30,6 +30,6 @@ URL: https://github.com/wadpac/GGIR/, https://groups.google.com/forum/#!forum/Rp BugReports: https://github.com/wadpac/GGIR/issues License: Apache License (== 2.0) | file LICENSE Suggests: testthat, covr, knitr, rmarkdown, actilifecounts, ActCR, GGIRread, read.gt3x, readxl -Imports: data.table, foreach, doParallel, signal, zoo, unisensR, ineq, methods, psych, irr +Imports: data.table, foreach, doParallel, signal, zoo, unisensR, ineq, methods, psych, irr, lubridate Depends: stats, utils, R (>= 3.5) VignetteBuilder: knitr diff --git a/R/g.getstarttime.R b/R/g.getstarttime.R index f3b046acc..0a143201b 100644 --- a/R/g.getstarttime.R +++ b/R/g.getstarttime.R @@ -15,11 +15,8 @@ g.getstarttime = function(datafile, data, mon, dformat, desiredtz, configtz = NU # the system timezone. # If configtz is different from the system timezone (""), we need to force the # correct timezone (force, while keeping the same hh:mm:ss time, not just convert to congigtz) - # (Converting to POSIXlt then back to POSIXct with the correct timezone - # seems to work fine as an equivalent of lubridate::force_tz()). if (configtz != "") { - starttime = as.POSIXlt(starttime) - starttime = as.POSIXct(starttime, tz=configtz) + starttime = lubridate::force_tz(starttime, configtz) } starttime = as.POSIXlt(starttime, tz = desiredtz) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index b03b780b5..08a1d15c8 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -209,16 +209,17 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # If timestamps in the csv file are formatted (Y-M-D h:m:s.f), data.table::fread assumes them to be # in the timezone of the current device (i.e. as if configtz == ""). # If this is not the case, we need to force the correct timezone (force, as opposed to converting to that timezone). - # Converting to POSIXlt then back to POSIXct with the correct timezone - # seems to work fine as an equivalent of lubridate::force_tz(). - # + if (!is.numeric(rawTime) && configtz != "") { + rawTime = lubridate::force_tz(rawTime, configtz) + } + # A similar thing needs to be done if the csv file contains Unix timestamps as well. # OmGui converts device timestamps to Unix timestamps as if the timestamps were originally in UTC. # So we need to convert the Unix timestamp into a hh:mm:ss format, then force that timestamp # from UTC into configtz timzone. - if (configtz != "" || is.numeric(rawTime)) { - rawTime = as.POSIXlt(rawTime, tz="UTC", origin = "1970-01-01") - rawTime = as.POSIXct(rawTime, tz=configtz, origin = "1970-01-01") + if (is.numeric(rawTime)) { + rawTime = as.POSIXct(rawTime, tz="UTC", origin = "1970-01-01") + rawTime = lubridate::force_tz(rawTime, configtz) } rawTime = as.numeric(rawTime) @@ -270,11 +271,7 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, # read.gt3x::read.gt3x returns timestamps as POSIXct with GMT timezone, but they are actally in local time of the device. # Don't just convert timezones, instead force the correct local timezone of the device (configtz) # while keeping the same hh:mm:ss time. - # (Converting to POSIXlt then back to POSIXct with the correct timezone - # seems to work fine as an equivalent of lubridate::force_tz(). - # as.POSIXlt() used to be slow but seems reasonably fast these days). - P$data$time = as.POSIXlt(P$data$time, origin = "1970-01-01") - P$data$time = as.POSIXct(P$data$time, tz=configtz, origin = "1970-01-01") + P$data$time = lubridate::force_tz(P$data$time, configtz) } } else if (mon == MONITOR$AD_HOC && dformat == FORMAT$AD_HOC_CSV) { # user-specified csv format # skip 1 more row only if rmc.firstrow.acc points at a row containing column names. From b195521b39da00c5061a0904c69c881c68e8b55e Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 9 Feb 2024 00:50:52 -0500 Subject: [PATCH 137/149] move the call to g.dotorcomma() into g.inspectfile Depending on the input format type, this call can be fairly expensive, and there's no need to do it every single time g.readaccfile() is called. --- R/g.inspectfile.R | 10 +++++++++- R/g.readaccfile.R | 8 +------- 2 files changed, 10 insertions(+), 8 deletions(-) diff --git a/R/g.inspectfile.R b/R/g.inspectfile.R index db6332ce7..17dcb9b4b 100644 --- a/R/g.inspectfile.R +++ b/R/g.inspectfile.R @@ -351,10 +351,18 @@ g.inspectfile = function(datafile, desiredtz = "", params_rawdata = c(), } } } + + # detect dot or comma separator in the data file + op <- options(warn = -1) # turn off warnings + on.exit(options(op)) + suppressWarnings(expr = {decn = g.dotorcomma(datafile, dformat, mon, + rmc.dec = params_rawdata[["rmc.dec"]])}) + options(warn = 0) # turn on warnings + monc = mon monn = ifelse(mon > 0, monnames[mon], "unknown") dformc = dformat dformn = fornames[dformat] invisible(list(header = header, monc = monc, monn = monn, - dformc = dformc, dformn = dformn, sf = sf, filename = filename)) + dformc = dformc, dformn = dformn, sf = sf, decn = decn, filename = filename)) } diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index 08a1d15c8..b9fed57d9 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -26,14 +26,8 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, if (mon == MONITOR$VERISENSE) mon = MONITOR$ACTIGRAPH dformat = I$dformc sf = I$sf + decn = I$decn - # detect dot or comma separator in the data file - op <- options(warn = -1) # turn off warnings - on.exit(options(op)) - suppressWarnings(expr = {decn = g.dotorcomma(filename, dformat, mon, - rmc.dec = params_rawdata[["rmc.dec"]])}) - options(warn = 0) # turn on warnings - if ((mon == MONITOR$ACTIGRAPH && dformat == FORMAT$CSV) || (mon == MONITOR$AXIVITY && dformat == FORMAT$CSV) || dformat == FORMAT$AD_HOC_CSV) { From d52a43ee20a96d237e608b83b3a6994568f0e9e5 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 9 Feb 2024 02:51:24 -0500 Subject: [PATCH 138/149] call gc() fewer times per loop iteration gc() is expensive, twice per loop iteration is enough. --- R/g.getmeta.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 2c274a664..0f777fe11 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -224,7 +224,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), isLastBlock = accread$isLastBlock PreviousEndPage = accread$endpage - rm(accread); gc() + rm(accread) #============ #process data as read from binary file if (length(P) > 0) { #would have been set to zero if file was corrupt or empty @@ -438,7 +438,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), lightc = cumsum(c(0,light)) select = seq(1, length(lightc), by = (ws2 * sf)) lightmean = diff(lightc[round(select)]) / abs(diff(round(select))) - rm(lightc); gc() + rm(lightc) #light (running max) lightmax = matrix(0, length(lightmean), 1) for (li in 1:(length(light)/(ws2*sf))) { @@ -461,7 +461,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), temperaturec = cumsum(c(0, temperature)) select = seq(1, length(temperaturec), by = (ws2 * sf)) temperatureb = diff(temperaturec[round(select)]) / abs(diff(round(select))) - rm(temperaturec); gc() + rm(temperaturec) metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(temperatureb, digits = n_decimal_places) col_mli = col_mli + 1 @@ -471,7 +471,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), ENc = cumsum(c(0, EN)) select = seq(1, length(ENc), by = (ws2 * sf)) #<= EN is derived from data, so it needs the new sf ENb = diff(ENc[round(select)]) / abs(diff(round(select))) - rm(ENc, EN); gc() + rm(ENc, EN) metalong[(count2):((count2 - 1) + length(NWav)), col_mli] = round(ENb, digits = n_decimal_places) if (exists("remaining_epochs")) { From 186e357ed4c137ab08b4c90fad319ad1a109ec6c Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 9 Feb 2024 14:48:34 -0500 Subject: [PATCH 139/149] minor cleanup --- R/g.getmeta.R | 71 ++++++++++++++++++++++++--------------------------- 1 file changed, 34 insertions(+), 37 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 0f777fe11..419ce6901 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -164,7 +164,6 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), header = NULL while (LD > 1) { - P = c() if (verbose == TRUE) { if (i == 1) { cat(paste0("\nLoading chunk: ", i)) @@ -187,35 +186,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), PreviousLastValue = accread$P$PreviousLastValue PreviousLastTime = accread$P$PreviousLastTime } - P = accread$P - - if (i == 1) { - light.available = ("light" %in% colnames(P$data)) - - use.temp = ("temperature" %in% colnames(P$data)) - if (use.temp) { - if (mean(P$data$temperature[1:10], na.rm = TRUE) > 50) { - warning("temperature value is unreaslistically high (> 50 Celcius) and will not be used.", call. = FALSE) - use.temp = FALSE - } - } - - # output matrix for 15 minutes summaries - if (!use.temp && !light.available) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) - metricnames_long = c("timestamp","nonwearscore","clippingscore","EN") - } else if (use.temp && !light.available) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) - metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") - } else if (!use.temp && light.available) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 6) - metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","EN") - } else if (use.temp && light.available) { - metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) - metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") - } - } - + filequality = accread$filequality filetooshort = filequality$filetooshort filecorrupt = filequality$filecorrupt @@ -224,12 +195,39 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), isLastBlock = accread$isLastBlock PreviousEndPage = accread$endpage - rm(accread) #============ #process data as read from binary file - if (length(P) > 0) { #would have been set to zero if file was corrupt or empty - data = P$data - QClog = rbind(QClog, P$QClog) + if (length(accread$P) > 0) { # would have been set to zero if file was corrupt or empty + data = accread$P$data + QClog = rbind(QClog, accread$P$QClog) + rm(accread) + + if (i == 1) { + light.available = ("light" %in% colnames(data)) + + use.temp = ("temperature" %in% colnames(data)) + if (use.temp) { + if (mean(data$temperature[1:10], na.rm = TRUE) > 50) { + warning("temperature value is unreaslistically high (> 50 Celcius) and will not be used.", call. = FALSE) + use.temp = FALSE + } + } + + # output matrix for 15 minutes summaries + if (!use.temp && !light.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 4) + metricnames_long = c("timestamp","nonwearscore","clippingscore","EN") + } else if (use.temp && !light.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 5) + metricnames_long = c("timestamp","nonwearscore","clippingscore","temperaturemean","EN") + } else if (!use.temp && light.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 6) + metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","EN") + } else if (use.temp && light.available) { + metalong = matrix(" ", ((nev/(sf*ws2)) + 100), 7) + metricnames_long = c("timestamp","nonwearscore","clippingscore","lightmean","lightpeak","temperaturemean","EN") + } + } if (params_rawdata[["imputeTimegaps"]] && (dformat == FORMAT$CSV || dformat == FORMAT$GT3X)) { P = g.imputeTimegaps(data, sf = sf, k = 0.25, @@ -244,11 +242,10 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), PreviousLastTime = NULL } QClog = rbind(QClog, P$QClog) + rm(P) } - if (exists("P")) { - rm(P); gc() - } + gc() data = as.matrix(data, rownames.force = FALSE) #add leftover data from last time From c2b7f61edc6a324272a9f3a9ee387f2f8816865a Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 11 Feb 2024 14:04:39 -0500 Subject: [PATCH 140/149] commenting out GENEA settings, as it's deprecated --- R/get_nw_clip_block_params.R | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/R/get_nw_clip_block_params.R b/R/get_nw_clip_block_params.R index 92ea57907..0ba5d6711 100644 --- a/R/get_nw_clip_block_params.R +++ b/R/get_nw_clip_block_params.R @@ -34,9 +34,8 @@ get_nw_clip_block_params = function(chunksize, dynrange, monc, dformat, deviceSe clipthres = dynrange - 0.5 } else { clipthres = 7.5 # hard-coded assumption that dynamic range is 8g - if (monc == MONITOR$GENEA) { - clipthres = 5.5 - } else if (monc == MONITOR$MOVISENS) { + #if (monc == MONITOR$GENEA) clipthres = 5.5 + if (monc == MONITOR$MOVISENS) { clipthres = 15.5 # hard coded assumption that dynamic range is 16g } else if (monc == MONITOR$AD_HOC) { clipthres = rmc.dynamic_range @@ -45,10 +44,8 @@ get_nw_clip_block_params = function(chunksize, dynrange, monc, dformat, deviceSe # Nonwear threshold: non-wear criteria are monitor-specific racriter = 0.15 # very likely irrelevant parameters, but leave in for consistency sdcriter = 0.013 - if (monc == MONITOR$GENEA) { - sdcriter = 0.003 - racriter = 0.05 - } else if (monc == MONITOR$VERISENSE) { + #if (monc == MONITOR$GENEA) { sdcriter = 0.003; racriter = 0.05 } + if (monc == MONITOR$VERISENSE) { racriter = 0.20 } else if (monc == MONITOR$AD_HOC) { if (length(rmc.noise) == 0) { From d1ba2b319cbe5ece6e431791f1cfff84e5994117 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 11 Feb 2024 14:06:46 -0500 Subject: [PATCH 141/149] clean up comment --- R/get_nw_clip_block_params.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/get_nw_clip_block_params.R b/R/get_nw_clip_block_params.R index 0ba5d6711..802df6eb7 100644 --- a/R/get_nw_clip_block_params.R +++ b/R/get_nw_clip_block_params.R @@ -29,7 +29,7 @@ get_nw_clip_block_params = function(chunksize, dynrange, monc, dformat, deviceSe } } - # Clipping threshold: estimate number of data points of clipping based on raw data at about 87 Hz + # Clipping threshold if (length(dynrange) > 0) { clipthres = dynrange - 0.5 } else { From 23f4223f503f2b6d2d9858c51ea5ae4bd97d0927 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 11 Feb 2024 14:08:15 -0500 Subject: [PATCH 142/149] warn regardless of verbose status --- R/g.getmeta.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index 419ce6901..f9a3ed9ca 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -96,7 +96,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), } if (length(nmetrics) == 0) { - if (verbose == TRUE) warning("No metrics selected.", call. = FALSE) + warning("No metrics selected.", call. = FALSE) } ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] From 1ff74a7fc85634b689f38288b07296c7e2593ed2 Mon Sep 17 00:00:00 2001 From: l-k- Date: Sun, 11 Feb 2024 22:05:06 -0500 Subject: [PATCH 143/149] select[1:(length(select))] is the same as select --- R/g.calibrate.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index 545d48dca..ef0c2cde6 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -27,7 +27,7 @@ g.calibrate = function(datafile, params_rawdata = c(), rollMean = function(x, fs, epochSize) { x = cumsum(c(0, x)) select = seq(1, length(x), by = fs * epochSize) - y = diff(x[round(select)]) / abs(diff(round(select[1:(length(select))]))) + y = diff(x[round(select)]) / abs(diff(round(select))) return(y) } rollSD = function(x, sf, epochSize) { From 5f245d27380c9c5132d891181faa21c00f2a5a43 Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 12 Feb 2024 13:56:26 -0500 Subject: [PATCH 144/149] if S is one row, process it correctly --- R/g.calibrate.R | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/R/g.calibrate.R b/R/g.calibrate.R index ef0c2cde6..22f00bc17 100644 --- a/R/g.calibrate.R +++ b/R/g.calibrate.R @@ -148,6 +148,11 @@ g.calibrate = function(datafile, params_rawdata = c(), if (use > 0) { if (use != LD) { S = data[(use + 1):LD,] # store leftover data + + # if S is only one row, it gets coersed to a vector, and what we need is a 1-row matrix + if (is.vector(S)) { + S = t(S) + } } data = data[1:use,] LD = nrow(data) #redefine LD because there is less data From b11c16fd902530604f37f932b80b5a9921e333db Mon Sep 17 00:00:00 2001 From: l-k- Date: Mon, 12 Feb 2024 23:05:14 -0500 Subject: [PATCH 145/149] Fix C$use.temp retrieval and get C$meantempcal --- R/g.part1.R | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/R/g.part1.R b/R/g.part1.R index 88357b7eb..7f662e611 100644 --- a/R/g.part1.R +++ b/R/g.part1.R @@ -220,6 +220,7 @@ g.part1 = function(datadir = c(), metadatadir = c(), f0 = 1, f1 = c(), myfun = c bcc.scalei = which(colnames(bcc.data) == "scale.x" | colnames(bcc.data) == "scale.y" | colnames(bcc.data) == "scale.z") bcc.offseti = which(colnames(bcc.data) == "offset.x" | colnames(bcc.data) == "offset.y" | colnames(bcc.data) == "offset.z") bcc.temp.offseti = which(colnames(bcc.data) == "temperature.offset.x" | colnames(bcc.data) == "temperature.offset.y" | colnames(bcc.data) == "temperature.offset.z") + bcc.meantempcali = which(colnames(bcc.data) == "meantempcal") bcc.QCmessagei = which(colnames(bcc.data) == "QCmessage") bcc.npointsi = which(colnames(bcc.data) == "n.10sec.windows") bcc.nhoursusedi = which(colnames(bcc.data) == "n.hours.considered") @@ -227,12 +228,13 @@ g.part1 = function(datadir = c(), metadatadir = c(), f0 = 1, f1 = c(), myfun = c C$scale = as.numeric(bcc.data[bcc.i[1],bcc.scalei]) C$offset = as.numeric(bcc.data[bcc.i[1],bcc.offseti]) C$tempoffset = as.numeric(bcc.data[bcc.i[1],bcc.temp.offseti]) + C$meantempcal = bcc.data[bcc.i[1], bcc.meantempcali] C$cal.error.start = as.numeric(bcc.data[bcc.i[1],bcc.cal.error.start]) C$cal.error.end = as.numeric(bcc.data[bcc.i[1],bcc.cal.error.end]) C$QCmessage = bcc.data[bcc.i[1],bcc.QCmessagei] C$npoints = bcc.data[bcc.i[1], bcc.npointsi] C$nhoursused = bcc.data[bcc.i[1], bcc.nhoursusedi] - C$use.temp = bcc.data[bcc.i[1], bcc.nhoursusedi] + C$use.temp = bcc.data[bcc.i[1], bcc.use.tempi] if (verbose == TRUE) { cat(paste0("\nRetrieved Calibration error (g) before: ",as.numeric(bcc.data[bcc.i[1],bcc.cal.error.start]))) cat(paste0("\nRetrieved Callibration error (g) after: ",as.numeric(bcc.data[bcc.i[1],bcc.cal.error.end]))) From 47fdd94667cc0dfd308f1a5da403eeeadc84d4ff Mon Sep 17 00:00:00 2001 From: l-k- Date: Tue, 13 Feb 2024 23:25:59 -0500 Subject: [PATCH 146/149] issue 1042, align ws and ws2 --- R/check_params.R | 6 ++++++ tests/testthat/test_detect_nonwear.R | 5 ++--- 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/R/check_params.R b/R/check_params.R index a91294b6c..58d16c4c1 100644 --- a/R/check_params.R +++ b/R/check_params.R @@ -146,6 +146,12 @@ check_params = function(params_sleep = c(), params_metrics = c(), "The short windowsize has now been automatically adjusted to ", ws3, " seconds in order to meet this criteria.\n"), call. = FALSE) } + if (ws/ws2 != round(ws/ws2)) { + ws = ws2 * ceiling(ws/ws2) + warning(paste0("The third value of parameter windowsizes needs to be a multitude of the second value.\n", + "The third value has been automatically adjusted to ", + ws, " seconds in order to meet this criteria.\n"), call. = FALSE) + } params_general[["windowsizes"]] = c(ws3, ws2, ws) } #----------------------------------------------------------------------------------- diff --git a/tests/testthat/test_detect_nonwear.R b/tests/testthat/test_detect_nonwear.R index 30015feb9..6f3c7d67b 100644 --- a/tests/testthat/test_detect_nonwear.R +++ b/tests/testthat/test_detect_nonwear.R @@ -78,13 +78,12 @@ test_that("the wear column is processed correctly", { filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, filedoesnotholdday = FALSE, NFilePagesSkipped = 0) - M_obj = g.getmeta(datafile = testfile, desiredtz = "", windowsizes = c(1,60,100), + M_obj = g.getmeta(datafile = testfile, desiredtz = "", windowsizes = c(1,60,120), inspectfileobject = I_obj, rmc.dec = ".", rmc.firstrow.acc = 1, rmc.firstrow.header = c(), rmc.unit.time = "UNIXsec", rmc.col.acc = 1:3, rmc.col.temp = c(), rmc.col.time = 4, rmc.sf = sf, desiredtz = "", rmc.col.wear = 5) - - expect_equal(M_obj$metalong$nonwearscore, c(3,0,0,3,3)) + expect_equal(M_obj$metalong$nonwearscore, c(3,0,3,3,3)) }) From 23a768daffe5ebf752669bf2e5b76767a48304ef Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 15 Feb 2024 14:27:48 -0500 Subject: [PATCH 147/149] Update NEWS.md --- NEWS.md | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/NEWS.md b/NEWS.md index 75123452a..ed7f0f48e 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,15 @@ +# CHANGES IN GGIR VERSION 3.0-6 + +Part 1: + +- Improved readability and maintainability of the code #1027 + +- Improved processing speed for Axivity .cwa, GENEActiv .bin, and Movisens files + +- Made sure that g.readaccfile() reads timestamps in the correct timezone, configtz, for all monitor types + +- Note: there will be small differences in both metalong and metashort metrics calculated by this GGIR version, compared to prior versions. This is due to small improvements in the management of timestamps, calibration coefficients, and input data block boundaries. + # CHANGES IN GGIR VERSION 3.0-5 - Part 5: Fix bug in functionality for Sensewear data (externally derived epoch data) #1030 From 4b4f330aeffce8fbcfaa3ae7fd5ac0450b8eb87a Mon Sep 17 00:00:00 2001 From: l-k- Date: Thu, 15 Feb 2024 23:49:27 -0500 Subject: [PATCH 148/149] no need to reuse values from past calls b/c this method now only called once, for i==1 --- R/g.getmeta.R | 4 ++-- R/get_starttime_weekday_truncdata.R | 2 +- man/get_starttime_weekday_truncdata.Rd | 14 +------------- 3 files changed, 4 insertions(+), 16 deletions(-) diff --git a/R/g.getmeta.R b/R/g.getmeta.R index f9a3ed9ca..68408d02f 100644 --- a/R/g.getmeta.R +++ b/R/g.getmeta.R @@ -101,7 +101,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), ws3 = params_general[["windowsizes"]][1]; ws2 = params_general[["windowsizes"]][2]; ws = params_general[["windowsizes"]][3] - PreviousEndPage = starttime = wday = wdayname = c() + PreviousEndPage = c() filequality = data.frame(filetooshort = FALSE, filecorrupt = FALSE, filedoesnotholdday = FALSE, NFilePagesSkipped = 0) @@ -271,7 +271,7 @@ g.getmeta = function(datafile, params_metrics = c(), params_rawdata = c(), SWMT = get_starttime_weekday_truncdata(mon, dformat, data, header, desiredtz = params_general[["desiredtz"]], sf, datafile, ws2, - starttime, wday, wdayname, configtz = params_general[["configtz"]]) + configtz = params_general[["configtz"]]) starttime = SWMT$starttime wday = SWMT$wday; wdayname = SWMT$wdayname data = SWMT$data diff --git a/R/get_starttime_weekday_truncdata.R b/R/get_starttime_weekday_truncdata.R index 60ec6b948..8f6c3c248 100644 --- a/R/get_starttime_weekday_truncdata.R +++ b/R/get_starttime_weekday_truncdata.R @@ -1,6 +1,6 @@ get_starttime_weekday_truncdata = function(monc, dformat, data, header, desiredtz, sf, datafile, - ws2, starttime, wday, wdayname, configtz = NULL) { + ws2, configtz = NULL) { # ensures that first window starts at logical timepoint relative to its size # (15,30,45 or 60 minutes of each hour) start_meas = ws2/60 diff --git a/man/get_starttime_weekday_truncdata.Rd b/man/get_starttime_weekday_truncdata.Rd index 5ae65bc27..127356eaf 100644 --- a/man/get_starttime_weekday_truncdata.Rd +++ b/man/get_starttime_weekday_truncdata.Rd @@ -14,7 +14,7 @@ \usage{ get_starttime_weekday_truncdata(monc, dformat, data, header, desiredtz, sf, - datafile, ws2, starttime, wday, wdayname, configtz = NULL) + datafile, ws2, configtz = NULL) } \arguments{ \item{monc}{ @@ -40,18 +40,6 @@ } \item{ws2}{ Long epoch length - } - \item{starttime}{ - Once calculate it is remembered and fed into this function again, - such that it does not have to be recalulated. - } - \item{wday}{ - Once calculate it is remembered and fed into this function again, - such that it does not have to be recalulated. - } - \item{wdayname}{ - Once calculate it is remembered and fed into this function again, - such that it does not have to be recalulated. } \item{configtz}{ See \link{g.getmeta} From e235b859af8ce3ca3406a187ad49959c236cbe85 Mon Sep 17 00:00:00 2001 From: l-k- Date: Fri, 16 Feb 2024 17:15:53 -0500 Subject: [PATCH 149/149] deal with badly formatted timestamps in Axivity csv --- R/g.readaccfile.R | 45 ++++++++++++++++++++++++++++++++------------- 1 file changed, 32 insertions(+), 13 deletions(-) diff --git a/R/g.readaccfile.R b/R/g.readaccfile.R index b9fed57d9..214ae2c8d 100644 --- a/R/g.readaccfile.R +++ b/R/g.readaccfile.R @@ -200,20 +200,39 @@ g.readaccfile = function(filename, blocksize, blocknumber, filequality, rawTime = rawData[,1] - # If timestamps in the csv file are formatted (Y-M-D h:m:s.f), data.table::fread assumes them to be - # in the timezone of the current device (i.e. as if configtz == ""). - # If this is not the case, we need to force the correct timezone (force, as opposed to converting to that timezone). - if (!is.numeric(rawTime) && configtz != "") { - rawTime = lubridate::force_tz(rawTime, configtz) - } + if(class(rawTime)[1] == "character") { + # If timestamps in the csv file are formatted (Y-M-D h:m:s.f), but some of the dates are formatted poorly, + # data.table::fread() might have trouble parsing them as timestamps, and will instead return them as strings. + # as.POSIXct() is less brittle and might still be able to parse such timestamps, but it will be a very slow process. + # For instance, one omGUI export contained timestamps like "2023-11-11 15:22:60.000" (which should normally be "2023-11-11 15:23:00.000"). + # data.table::fread() couldn't parse this but as.POSIXct() could, albeit very slowly. + + rawTime = as.POSIXct(rawTime, tz=configtz, origin = "1970-01-01") - # A similar thing needs to be done if the csv file contains Unix timestamps as well. - # OmGui converts device timestamps to Unix timestamps as if the timestamps were originally in UTC. - # So we need to convert the Unix timestamp into a hh:mm:ss format, then force that timestamp - # from UTC into configtz timzone. - if (is.numeric(rawTime)) { - rawTime = as.POSIXct(rawTime, tz="UTC", origin = "1970-01-01") - rawTime = lubridate::force_tz(rawTime, configtz) + # if as.POSIXct() also failed to parse this data as timestamps, there's nothing else we can do. + if(class(rawTime)[1] != "POSIXct") { + stop(paste0("Corrupt timestamp data in ", filename), call. = FALSE) + } else { + warning(paste0("Corrupt timestamp data in ", filename, + ". This will greatly slow down processing. To avoid this, use the original .cwa file, ", + "or export your data with Unix timestamps instead."), call. = FALSE) + } + } else { + # If timestamps in the csv file are formatted (Y-M-D h:m:s.f), data.table::fread assumes them to be + # in the timezone of the current device (i.e. as if configtz == ""). + # If this is not the case, we need to force the correct timezone (force, as opposed to converting to that timezone). + if (!is.numeric(rawTime) && configtz != "") { + rawTime = lubridate::force_tz(rawTime, configtz) + } + + # A similar thing needs to be done if the csv file contains Unix timestamps as well. + # OmGui converts device timestamps to Unix timestamps as if the timestamps were originally in UTC. + # So we need to convert the Unix timestamp into a hh:mm:ss format, then force that timestamp + # from UTC into configtz timzone. + if (is.numeric(rawTime)) { + rawTime = as.POSIXct(rawTime, tz="UTC", origin = "1970-01-01") + rawTime = lubridate::force_tz(rawTime, configtz) + } } rawTime = as.numeric(rawTime)