Merge RC into master

.Rbuildignore

@@ -25,3 +25,4 @@ visual_test
 ^appveyor\.yml$
 ^\.github$
 ^vignettes/profilings
+^cran-comments\.md$

.travis.yml

@@ -18,11 +18,11 @@ matrix:
       provider: script
       script: Rscript -e 'pkgdown::deploy_site_github(verbose = TRUE)'
       skip_cleanup: true
-  - r: oldrel
+  - r: 3.5
+  - r: 3.4
+  - r: 3.3
   - r: 3.2
     env: R_REMOTES_NO_ERRORS_FROM_WARNINGS=true
-  - r: 3.1
-    env: R_REMOTES_NO_ERRORS_FROM_WARNINGS=true
 
 # environment variables set for all builds
 env:

DESCRIPTION

@@ -17,7 +17,7 @@ Authors@R: c(
     person("RStudio", role = c("cph"))
     )
 Depends:
-    R (>= 3.1)
+    R (>= 3.2)
 Imports: 
     digest,
     grDevices,

NEWS.md

@@ -5,7 +5,7 @@
   (i.e., `slope`, `intercept`, `yintercept`, and/or `xintercept`)
   and mapped aesthetics (i.e., `data` and/or `mapping`).
 
-# ggplot2 3.1.1.9000
+# ggplot2 3.2.0
 
 This is a minor release with an emphasis on internal changes to make ggplot2 
 faster and more consistent. The few interface changes will only affect the 
@@ -14,6 +14,9 @@ extension developers if they have relied on internals that have been changed.
 This release also sees the addition of Hiroaki Yutani (@yutannihilation) to the 
 core developer team.
 
+With the release of R 3.6, ggplot2 now requires the R version to be at least 3.2,
+as the tidyverse is committed to support 5 major versions of R.
+
 ## Breaking changes
 
 * Two patches (#2996 and #3050) fixed minor rendering problems. In most cases,

R/compat-plyr.R

@@ -292,12 +292,26 @@ rbind_dfs <- function(dfs) {
     allocated[new_columns] <- TRUE
     if (all(allocated)) break
   }
+  is_date <- lapply(out, inherits, 'Date')
+  is_time <- lapply(out, inherits, 'POSIXct')
   pos <- c(cumsum(nrows) - nrows + 1)
   for (i in seq_along(dfs)) {
     df <- dfs[[i]]
     rng <- seq(pos[i], length.out = nrows[i])
     for (col in names(df)) {
-      if (inherits(df[[col]], 'factor')) {
+      date_col <- inherits(df[[col]], 'Date')
+      time_col <- inherits(df[[col]], 'POSIXct')
+      if (is_date[[col]] && !date_col) {
+        out[[col]][rng] <- as.Date(
+          unclass(df[[col]]),
+          origin = ggplot_global$date_origin
+        )
+      } else if (is_time[[col]] && !time_col) {
+        out[[col]][rng] <- as.POSIXct(
+          unclass(df[[col]]),
+          origin = ggplot_global$time_origin
+        )
+      } else if (date_col || time_col || inherits(df[[col]], 'factor')) {
         out[[col]][rng] <- as.character(df[[col]])
       } else {
         out[[col]][rng] <- df[[col]]
@@ -307,7 +321,11 @@ rbind_dfs <- function(dfs) {
   for (col in names(col_levels)) {
     out[[col]] <- factor(out[[col]], levels = col_levels[[col]])
   }
-  attributes(out) <- list(class = "data.frame", names = names(out), row.names = .set_row_names(total))
+  attributes(out) <- list(
+    class = "data.frame",
+    names = names(out),
+    row.names = .set_row_names(total)
+  )
   out
 }
 #' Apply function to unique subsets of a data.frame
@@ -333,6 +351,7 @@ dapply <- function(df, by, fun, ..., drop = TRUE) {
   grouping_cols <- .subset(df, by)
   ids <- id(grouping_cols, drop = drop)
   group_rows <- split(seq_len(nrow(df)), ids)
+  fallback_order <- unique(c(by, names(df)))
   rbind_dfs(lapply(seq_along(group_rows), function(i) {
     cur_data <- df_rows(df, group_rows[[i]])
     res <- fun(cur_data, ...)
@@ -341,6 +360,8 @@ dapply <- function(df, by, fun, ..., drop = TRUE) {
     vars <- lapply(setNames(by, by), function(col) .subset2(cur_data, col)[1])
     if (is.matrix(res)) res <- split_matrix(res)
     if (is.null(names(res))) names(res) <- paste0("V", seq_along(res))
-    new_data_frame(modify_list(unclass(vars), unclass(res)))
+    if (all(by %in% names(res))) return(new_data_frame(unclass(res)))
+    res <- modify_list(unclass(vars), unclass(res))
+    new_data_frame(res[intersect(c(fallback_order, names(res)), names(res))])
   }))
 }

R/coord-map.r

@@ -57,18 +57,10 @@
 #'
 #' if (require("maps")) {
 #' # Other projections
-#' nzmap + coord_map("cylindrical")
-#' }
-#'
-#' if (require("maps")) {
 #' nzmap + coord_map("azequalarea", orientation = c(-36.92, 174.6, 0))
 #' }
 #'
 #' if (require("maps")) {
-#' nzmap + coord_map("lambert", parameters = c(-37, -44))
-#' }
-#'
-#' if (require("maps")) {
 #' states <- map_data("state")
 #' usamap <- ggplot(states, aes(long, lat, group = group)) +
 #'   geom_polygon(fill = "white", colour = "black")
@@ -83,39 +75,27 @@
 #' }
 #'
 #' if (require("maps")) {
-#' usamap + coord_quickmap()
-#' }
-#'
-#' if (require("maps")) {
 #' # See ?mapproject for coordinate systems and their parameters
 #' usamap + coord_map("gilbert")
 #' }
 #'
 #' if (require("maps")) {
-#' usamap + coord_map("lagrange")
-#' }
-#'
-#' if (require("maps")) {
 #' # For most projections, you'll need to set the orientation yourself
 #' # as the automatic selection done by mapproject is not available to
 #' # ggplot
 #' usamap + coord_map("orthographic")
 #' }
 #'
 #' if (require("maps")) {
-#' usamap + coord_map("stereographic")
-#' }
-#'
-#' if (require("maps")) {
 #' usamap + coord_map("conic", lat0 = 30)
 #' }
 #'
 #' if (require("maps")) {
 #' usamap + coord_map("bonne", lat0 = 50)
 #' }
 #'
+#' \dontrun{
 #' if (require("maps")) {
-#'
 #' # World map, using geom_path instead of geom_polygon
 #' world <- map_data("world")
 #' worldmap <- ggplot(world, aes(x = long, y = lat, group = group)) +
@@ -136,6 +116,7 @@
 #' # Centered on New York (currently has issues with closing polygons)
 #' worldmap + coord_map("ortho", orientation = c(41, -74, 0))
 #' }
+#' }
 coord_map <- function(projection="mercator", ..., parameters = NULL, orientation = NULL, xlim = NULL, ylim = NULL, clip = "on") {
   if (is.null(parameters)) {
     params <- list(...)

R/position-dodge.r

@@ -17,10 +17,10 @@
 #' ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) +
 #'   geom_bar(position = "dodge2")
 #'
-#' # By default, dodging with `position_dodge2()` preserves the width of each
-#' # element. You can choose to preserve the total width with:
+#' # By default, dodging with `position_dodge2()` preserves the total width of
+#' # the elements. You can choose to preserve the width of each element with:
 #' ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) +
-#'   geom_bar(position = position_dodge(preserve = "total"))
+#'   geom_bar(position = position_dodge2(preserve = "single"))
 #'
 #' \donttest{
 #' ggplot(diamonds, aes(price, fill = cut)) +

R/zzz.r

@@ -35,6 +35,12 @@ pathGrob <- NULL
 
   ggplot_global$theme_current <- theme_gray()
 
+  # Used by rbind_dfs
+  date <- Sys.Date()
+  ggplot_global$date_origin <- date - unclass(date)
+  time <- Sys.time()
+  ggplot_global$time_origin <- time - unclass(time)
+
   # To avoid namespace clash with dplyr.
   # It seems surprising that this hack works
   if (requireNamespace("dplyr", quietly = TRUE)) {

_pkgdown.yml

@@ -225,6 +225,8 @@ navbar:
       text: News
       menu:
       - text: "Release notes"
+      - text: "Version 3.2.0"
+        href: https://www.tidyverse.org/articles/2019/06/ggplot2-3-2-0/
       - text: "Version 3.1.0"
         href: https://www.tidyverse.org/articles/2018/10/ggplot2-3-1-0/
       - text: "Version 3.0.0"