From 25f54d994fa6cf34de3f03d3c693c22991067b63 Mon Sep 17 00:00:00 2001 From: Zeki Akyol <40212849+zekiakyol@users.noreply.github.com> Date: Fri, 15 Sep 2023 13:43:26 +0300 Subject: [PATCH] Update r4ds url (#5406) * Update r4ds url - This pull request updates r4ds() to r4ds 2e (https://r4ds.hadley.nz/). * run `devtools::build_readme()` It updates **README.md** by running `devtools::build_readme()`. --- README.Rmd | 10 +++++----- README.md | 10 ++++------ 2 files changed, 9 insertions(+), 11 deletions(-) diff --git a/README.Rmd b/README.Rmd index e3b2e6a76c..5a7278a9d2 100644 --- a/README.Rmd +++ b/README.Rmd @@ -69,8 +69,8 @@ If you are looking for innovation, look to ggplot2's rich ecosystem of extension If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. Currently, there are three good places to start: -1. The [Data Visualisation][r4ds-vis] and - [Graphics for communication][r4ds-comm] chapters in +1. The [Data Visualization][r4ds-vis] and + [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 @@ -107,7 +107,7 @@ There are two main places to get help with ggplot2: [gg-book]: https://www.amazon.com/Grammar-Graphics-Statistics-Computing/dp/0387245448/ref=as_li_ss_tl [so]: https://stackoverflow.com/questions/tagged/ggplot2?sort=frequent&pageSize=50 [cookbook]: https://r-graphics.org -[r4ds]: https://r4ds.had.co.nz -[r4ds-vis]: https://r4ds.had.co.nz/data-visualisation.html -[r4ds-comm]: https://r4ds.had.co.nz/graphics-for-communication.html +[r4ds]: https://r4ds.hadley.nz +[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/ diff --git a/README.md b/README.md index 6a073f315d..3ff7127756 100644 --- a/README.md +++ b/README.md @@ -76,12 +76,10 @@ If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. Currently, there are three good places to start: -1. The [Data - Visualisation](https://r4ds.had.co.nz/data-visualisation.html) and - [Graphics for - communication](https://r4ds.had.co.nz/graphics-for-communication.html) - chapters in [R for Data Science](https://r4ds.had.co.nz). R for Data - Science is designed to give you a comprehensive introduction to the +1. The [Data Visualization](https://r4ds.hadley.nz/data-visualize) and + [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 possible.