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0.4.2
- debugging - remove R packages pander, tidyr and dplyr; not needed; R_model and R - db dataset m^2 -> m2 - requirements.txt - change R version; 3.3.2 -> 3.5.2 (with gamlss only)
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src/R_model/perc_model_flexible.R

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# Load packages
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library(gamlss)
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library(pander)
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library(dplyr)
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library(tidyr)
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# Convert to numerics
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nums = as.numeric(myArgs[1:3])

src/R_model/perc_opt.R

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# perc_opt.R
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# Load packages
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library(gamlss)
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library(pander)
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library(dplyr)
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library(tidyr)
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# Fetch command line arguments
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myArgs <- commandArgs(trailingOnly = TRUE)

src/R_model/perc_sens.R

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# perc_model.R
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# Load packages
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library(gamlss)
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library(pander)
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library(dplyr)
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library(tidyr)
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# Fetch command line arguments
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myArgs <- commandArgs(trailingOnly = TRUE)

src/R_model/perc_sens_down.R

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# perc_model.R
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# Load packages
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library(gamlss)
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library(pander)
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library(dplyr)
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library(tidyr)
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# Fetch command line arguments
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myArgs <- commandArgs(trailingOnly = TRUE)

src/R_model/perc_sens_up.R

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# perc_model.R
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# Load packages
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library(gamlss)
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library(pander)
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library(dplyr)
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library(tidyr)
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# Fetch command line arguments
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myArgs <- commandArgs(trailingOnly = TRUE)

src/R_model/perc_val.R

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# perc_val.R
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# Load packages
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library(gamlss)
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library(pander)
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library(dplyr)
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library(tidyr)
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# Fetch command line arguments
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myArgs <- commandArgs(trailingOnly = TRUE)
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src/example/db.csv

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"","Age [years]","BMI [kg/]"
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"","Age [years]","BMI [kg/m2]"
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"1",0.03,13.2352889411417
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"2",0.04,12.4387748775498
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"3",0.04,14.5417747339652

src/requirements.txt

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numpy==1.14.2
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scipy==1.1.0
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numpy==1.14.2
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pandas==0.22.0
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matplotlib==2.2.2
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pandas==0.17.1
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PyQt4==4.11.4

src/requirements_0.4.1.txt

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numpy==1.14.2
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scipy==1.1.0
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matplotlib==2.2.2
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pandas==0.17.1
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PyQt4==4.11.4

src/tmp/log_model_fitting.txt

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Lade n�tiges Paket: splines
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Lade n�tiges Paket: gamlss.data
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Lade n�tiges Paket: gamlss.dist
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Lade n�tiges Paket: MASS
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Lade n�tiges Paket: methods
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Lade n�tiges Paket: nlme
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Lade n�tiges Paket: parallel
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********** GAMLSS Version 5.0-6 **********
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Loading required package: splines
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Loading required package: gamlss.data
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Loading required package: gamlss.dist
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Loading required package: MASS
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Loading required package: nlme
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Loading required package: parallel
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********** GAMLSS Version 5.1-2 **********
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For more on GAMLSS look at http://www.gamlss.org/
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Type gamlssNews() to see new features/changes/bug fixes.
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Warnmeldung:
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Paket 'gamlss' wurde unter R Version 3.3.3 erstellt
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Attache Paket: 'dplyr'
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The following object is masked from 'package:nlme':
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collapse
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The following object is masked from 'package:MASS':
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select
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The following objects are masked from 'package:stats':
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filter, lag
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The following objects are masked from 'package:base':
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intersect, setdiff, setequal, union
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Warnmeldungen:
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1: In additive.fit(x = X, y = wv, w = wt * w, s = s, who = who, smooth.frame, :
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additive.fit convergence not obtained in 30 iterations
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2: In additive.fit(x = X, y = wv, w = wt * w, s = s, who = who, smooth.frame, :
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additive.fit convergence not obtained in 30 iterations
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3: In additive.fit(x = X, y = wv, w = wt * w, s = s, who = who, smooth.frame, :
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additive.fit convergence not obtained in 30 iterations
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4: In additive.fit(x = X, y = wv, w = wt * w, s = s, who = who, smooth.frame, :
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additive.fit convergence not obtained in 30 iterations
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5: In additive.fit(x = X, y = wv, w = wt * w, s = s, who = who, smooth.frame, :
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additive.fit convergence not obtained in 30 iterations
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Warnmeldung:
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In predict.gamlss(obj, what = "mu", newdata = newx, type = "response", :
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There is a discrepancy between the original and the re-fit
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used to achieve 'safe' predictions
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Es gab 18 Warnungen (Anzeige mit warnings())
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Warnmeldung:
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In predict.gamlss(object, newdata = newdata, what = "mu", type = type, :
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There is a discrepancy between the original and the re-fit
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used to achieve 'safe' predictions
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Warnmeldung:
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In predict.gamlss(obj, what = "mu", newdata = newx, type = "response", :
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There is a discrepancy between the original and the re-fit
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used to achieve 'safe' predictions
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Warnmeldung:
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In predict.gamlss(obj, what = "mu", newdata = newx, type = "response", :
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There is a discrepancy between the original and the re-fit
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used to achieve 'safe' predictions
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There were 47 warnings (use warnings() to see them)
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There were 18 warnings (use warnings() to see them)

src/tmp/percentiles.png

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src/tmp/percentiles_chart.csv

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