Release ggplot2 4.0.1 (#6746)

* polish news

* reorder a few bullets in news

* prep for release

* don't bother subsetting labels (#6745)

* Increment version number to 4.0.1

* Increment version number to 4.0.1.9000

---------

Co-authored-by: Teun van den Brand <[email protected]>
Co-authored-by: Teun van den Brand <[email protected]>

Author: thomasp85

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: ggplot2
 Title: Create Elegant Data Visualisations Using the Grammar of Graphics
-Version: 4.0.0.9000
+Version: 4.0.1.9000
 Authors@R: c(
     person("Hadley", "Wickham", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0003-4757-117X")),

NEWS.md

@@ -1,25 +1,24 @@
 # ggplot2 (development version)
 
+# ggplot2 4.0.1
+
+This is a smaller patch release focussed on fixing regressions from 4.0.0 and 
+polishing the recent features.
+
+## Bug fixes
+
 * Fixed regression where `geom_area()` didn't draw panels with single groups 
   when `stat = "align"` (@teunbrand, #6680)
 * Fixed regression where `position_stack(vjust)` was ignored when there are
   only single groups (#6692)
 * Fixed bug where `NA` handling in `geom_path()` was ignoring panels (@teunbrand, #6533)
-* Logical values for the linetype aesthetic will be interpreted numerically,
-  so that `linetype = FALSE` becomes 0/'blank' and `linetype = TRUE` becomes 
-  1/'solid' (@teunbrand, #6641)
-* Out-of-bounds datapoints used as padding by `stat_align()` now get removed
-  silently rather than verbosely (@teunbrand, #6667)
 * Fixed bug where `stat_bin(boundary)` was ignored (#6682).
 * `geom_text()` and `geom_label()` accept expressions as the `label` aesthetic 
   (@teunbrand, #6638)
 * Fixed regression where `draw_key_rect()` stopped using `fill` colours 
   (@mitchelloharawild, #6609).
 * Fixed regression where `scale_{x,y}_*()` threw an error when an expression
   object is set to `labels` argument (@yutannihilation, #6617).
-* Improved palette fallback mechanism in scales (@teunbrand, #6669).
-* Allow `stat` in `geom_hline`, `geom_vline`, and `geom_abline`. (@sierrajohnson, #6559)
-* `stat_boxplot()` treats `width` as an optional aesthetic (@Yunuuuu, #6575)
 * Fixed regression where the first (unnamed) argument to colour/fill scales was 
   not passed as the `name` argument (@teunbrand, #6623)
 * Fixed issue where vectorised `arrow()`s caused errors in drawing the 
@@ -28,10 +27,21 @@
   insistently. Now they contribute only as fallback labels (@teunbrand, #6616)
 * Fixed regression where empty arguments to colour/fill scale caused errors
   (@jmbarbone, #6710)
+* Fixed axis misplacement in `coor_radial()` when labels are blank (@teunbrand, #6574)
+
+## Improvements
+
+* Improved palette fallback mechanism in scales (@teunbrand, #6669).
+* Allow `stat` in `geom_hline`, `geom_vline`, and `geom_abline`. (@sierrajohnson, #6559)
+* `stat_boxplot()` treats `width` as an optional aesthetic (@Yunuuuu, #6575)
 * The `theme(panel.widths, panel.heights)` setting attempts to preserve the
   plot's aspect ratio when only one of the two settings is given, and the plot 
   has a single panel (@teunbrand, #6701).
-* Fixed axis misplacement in `coor_radial()` when labels are blank (@teunbrand, #6574)
+* Logical values for the linetype aesthetic will be interpreted numerically,
+  so that `linetype = FALSE` becomes 0/'blank' and `linetype = TRUE` becomes 
+  1/'solid' (@teunbrand, #6641)
+* Out-of-bounds datapoints used as padding by `stat_align()` now get removed
+  silently rather than verbosely (@teunbrand, #6667)
 
 # ggplot2 4.0.0
 

R/layer.R

@@ -972,10 +972,8 @@ normalise_label <- function(label) {
     return(NULL)
   }
   if (obj_is_list(label)) {
-    # Ensure that each element in the list has length 1
+    # Ensure no elements are empty
     label[lengths(label) == 0] <- ""
-    truncate <- !vapply(label, is.call, logical(1)) # Don't mess with call/formula
-    label[truncate] <- lapply(label[truncate], `[`, 1)
   }
   if (is.expression(label)) {
     # Classed expressions, when converted to lists, retain their class.

README.Rmd

@@ -76,7 +76,7 @@ If you are new to ggplot2 you are better off starting with a systematic introduc
     [Communication][r4ds-comm] chapters in
     [R for Data Science][r4ds]. R for Data Science is designed to
     give you a comprehensive introduction to the
-    [tidyverse](https://www.tidyverse.org), and these two chapters will
+    [tidyverse](https://tidyverse.org/), and these two chapters will
     get you up to speed with the essentials of ggplot2 as quickly as
     possible.
 
@@ -119,4 +119,4 @@ There are two main places to get help with ggplot2:
 [r4ds-vis]: https://r4ds.hadley.nz/data-visualize
 [r4ds-comm]: https://r4ds.hadley.nz/communication
 [oreilly]: https://learning.oreilly.com/videos/data-visualization-in/9781491963661/
-[blog]: https://www.tidyverse.org/tags/ggplot2/
+[blog]: https://tidyverse.org/tags/ggplot2/

README.md

@@ -80,8 +80,8 @@ documentation pages. Currently, there are several good places to start:
     [Communication](https://r4ds.hadley.nz/communication) chapters in [R
     for Data Science](https://r4ds.hadley.nz). R for Data Science is
     designed to give you a comprehensive introduction to the
-    [tidyverse](https://www.tidyverse.org), and these two chapters will
-    get you up to speed with the essentials of ggplot2 as quickly as
+    [tidyverse](https://tidyverse.org/), and these two chapters will get
+    you up to speed with the essentials of ggplot2 as quickly as
     possible.
 
 2.  If you’d like to take an online course, try [Data Visualization in R
@@ -105,7 +105,7 @@ documentation pages. Currently, there are several good places to start:
     graphics specifically tailored to your needs.
 
 6.  For articles about announcements and deep-dives you can visit the
-    [tidyverse blog](https://www.tidyverse.org/tags/ggplot2/).
+    [tidyverse blog](https://tidyverse.org/tags/ggplot2/).
 
 ## Getting help
 

cran-comments.md

@@ -1,9 +1,13 @@
-This is a major release of ggplot2. Among other things it includes an adaption
-of S7 for all the S3 classes and methods that were currently in use.
-Unfortunately such a change is not without issue with the number of reverse
-dependencies that ggplot2 has as many packages wrongfully checks the internals
-of ggplot2 objects in their tests.
+This is a patch release fixing a range of regressions reported after the 4.0.0
+release. While no breaking changes in the API we did detect a few packages that
+breaks with this release due to either making assumptions about ggplot2 internal
+behaviour, or requiring documentation updates that can only happen after release
+of 4.0.1
 
-Because of this you should expect a larger than usual number of breaking
-packages. We have been very diligent to reach out to all maintainers over the
-last 2-3 months and provided resolutions but breakages are still to be expected.
+The packages are:
+- adproplus: https://github.com/henry-heppe/adproclus/issues/3
+- ggsurveillance: https://github.com/biostats-dev/ggsurveillance/issues/1
+- ggformula: https://github.com/ProjectMOSAIC/ggformula/issues/187
+- ggside: https://github.com/jtlandis/ggside/issues/71
+
+They have all been notified in advance of this submission

vignettes/ggplot2-in-packages.qmd

@@ -246,4 +246,4 @@ Generally, if you add a method for a ggplot2 generic like `autoplot()`, ggplot2
 ```
 
 ## Read more
-There are other things to consider when taking on a dependency. [This post]( https://www.tidyverse.org/blog/2022/09/playing-on-the-same-team-as-your-dependecy/) goes into detail with many of these using ggplot2 as an example and is a good read for anyone developing a package using ggplot2.
+There are other things to consider when taking on a dependency. [This post]( https://tidyverse.org/blog/2022/09/playing-on-the-same-team-as-your-dependecy/) goes into detail with many of these using ggplot2 as an example and is a good read for anyone developing a package using ggplot2.