prep for release

Author: thomasp85

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.