revert

.buildlibrary

@@ -1,4 +1,4 @@
-ValidationKey: '30175840'
+ValidationKey: '29964000'
 AcceptedWarnings:
 - 'Warning: package ''.*'' was built under R version'
 - 'Warning: namespace ''.*'' is not available and has been replaced'

CITATION.cff

@@ -2,8 +2,8 @@ cff-version: 1.2.0
 message: If you use this software, please cite it using the metadata from this file.
 type: software
 title: 'mip: Comparison of multi-model runs'
-version: 0.151.0
-date-released: '2024-09-18'
+version: 0.149.3
+date-released: '2024-09-06'
 abstract: Package contains generic functions to produce comparison plots of multi-model
   runs.
 authors:

DESCRIPTION

@@ -1,8 +1,8 @@
 Type: Package
 Package: mip
 Title: Comparison of multi-model runs
-Version: 0.151.0
-Date: 2024-09-18
+Version: 0.149.3
+Date: 2024-09-06
 Authors@R: c(
     person("David", "Klein", , "dklein@pik-potsdam.de", role = c("aut", "cre")),
     person("Jan Philipp", "Dietrich", , "dietrich@pik-potsdam.de", role = "aut"),

R/mipArea.R

@@ -82,40 +82,34 @@ mipArea <- function(x, stack_priority = c("variable", "region"), total = TRUE, s
   ###
   ### Find out which variables to stack and which to put to facet_grid
   ###
-  if ("identifier" %in% names(x)) {
-    # if the identifier is specified externally, us that + region as facet and stack variables
-    facets <- c("identifier", "region")
-    if (!is.null(hist)) x <- rbind(x, hist)
-    dimToStack <- "variable"
-  } else {
-    # Identify stacking and facet_grid based on data
-    # count levels of the given columns
-    nLevels <- vapply(subset(x, select = c("variable", "region", "scenario", "model")), nlevels, integer(1))
-
-    # Find first dimension in stack_priority that has more than one element.
-    # Initialize dimToStack (this applies if if all dimensions have only one element)
-    dimToStack <- stack_priority[1]
-    for (s in stack_priority) {
-      if (nLevels[s] > 1) {
-        dimToStack <- s
-        break
-      }
+
+  # count levels of the given columns
+  nLevels <- vapply(subset(x, select = c("variable", "region", "scenario", "model")), nlevels, integer(1))
+
+  # Find first dimension in stack_priority that has more than one element.
+  # Initialize dimToStack (this applies if if all dimensions have only one element)
+  dimToStack <- stack_priority[1]
+  for (s in stack_priority) {
+    if (nLevels[s] > 1) {
+      dimToStack <- s
+      break
     }
+  }
 
-    # find and sort dimension with more than one element, exclude dimToStack
-    # sort: to be able to build the interaction with the smallest number of resulting combinations (further down)
-    facets <- sort(nLevels[nLevels > 1])
-    facets <- setdiff(names(facets), dimToStack)
+  # find and sort dimension with more than one element, exclude dimToStack
+  # sort: to be able to build the interaction with the smallest number of resulting combinations (further down)
+  facets <- sort(nLevels[nLevels > 1])
+  facets <- setdiff(names(facets), dimToStack)
 
-    # Combine data and historical data into one object
-    if (!is.null(hist)) x <- rbind(x, hist)
+  # Combine data and historical data into one object
+  if (!is.null(hist)) x <- rbind(x, hist)
 
-    # if there are three facet dimensions that have more than one element combine the two
-    # smallest ones into the first one to be able to create a 2-D facet_grid later on
-    if (length(facets) == 3) {
-      x[, facets[1]] <- paste(x[[facets[2]]], x[[facets[1]]])
-    }
+  # if there are three facet dimensions that have more than one element combine the two
+  # smallest ones into the first one to be able to create a 2-D facet_grid later on
+  if (length(facets) == 3) {
+    x[, facets[1]] <- paste(x[[facets[2]]], x[[facets[1]]])
   }
+
   # if not provided by user calculate total by summing over dimToStack
   if (isTRUE(total)) {
     dimToGroup <- setdiff(c("model", "scenario", "region", "variable", "unit", "period"), dimToStack)

R/showAreaAndBarPlots.R

@@ -172,7 +172,6 @@ showAreaAndBarPlots <- function(
         .data$region == .env$mainReg,
         .data$variable == .env$tot) %>%
       droplevels()
-    dMainTot$scenario <- dMainTot$identifier
     p1 <- p1 +
       geom_line(
         data = dMainTot,

README.md

@@ -1,6 +1,6 @@
 # Comparison of multi-model runs
 
-R package **mip**, version **0.151.0**
+R package **mip**, version **0.149.3**
 
 [![CRAN status](https://www.r-pkg.org/badges/version/mip)](https://cran.r-project.org/package=mip) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1158586.svg)](https://doi.org/10.5281/zenodo.1158586) [![R build status](https://github.com/pik-piam/mip/workflows/check/badge.svg)](https://github.com/pik-piam/mip/actions) [![codecov](https://codecov.io/gh/pik-piam/mip/branch/master/graph/badge.svg)](https://app.codecov.io/gh/pik-piam/mip) [![r-universe](https://pik-piam.r-universe.dev/badges/mip)](https://pik-piam.r-universe.dev/builds)
 
@@ -47,7 +47,7 @@ In case of questions / problems please contact David Klein <dklein@pik-potsdam.d
 
 To cite package **mip** in publications use:
 
-Klein D, Dietrich J, Baumstark L, Humpenoeder F, Stevanovic M, Wirth S, Führlich P, Richters O, Rüter T (2024). _mip: Comparison of multi-model runs_. doi:10.5281/zenodo.1158586 <https://doi.org/10.5281/zenodo.1158586>, R package version 0.151.0, <https://github.com/pik-piam/mip>.
+Klein D, Dietrich J, Baumstark L, Humpenoeder F, Stevanovic M, Wirth S, Führlich P, Richters O, Rüter T (2024). _mip: Comparison of multi-model runs_. doi:10.5281/zenodo.1158586 <https://doi.org/10.5281/zenodo.1158586>, R package version 0.149.3, <https://github.com/pik-piam/mip>.
 
 A BibTeX entry for LaTeX users is
 
@@ -56,7 +56,7 @@ A BibTeX entry for LaTeX users is
   title = {mip: Comparison of multi-model runs},
   author = {David Klein and Jan Philipp Dietrich and Lavinia Baumstark and Florian Humpenoeder and Miodrag Stevanovic and Stephen Wirth and Pascal Führlich and Oliver Richters and Tonn Rüter},
   year = {2024},
-  note = {R package version 0.151.0},
+  note = {R package version 0.149.3},
   url = {https://github.com/pik-piam/mip},
   doi = {10.5281/zenodo.1158586},
 }