Update r4ds url (#524)

tidyverse · Oct 31, 2023 · 8367482 · 8367482
1 parent 08ff36f
commit 8367482
Show file tree

Hide file tree

Showing 3 changed files with 3 additions and 3 deletions.
diff --git a/README.Rmd b/README.Rmd
@@ -24,7 +24,7 @@ library(stringr)
 
 ## Overview
 
-Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparation tasks. The stringr package provides a cohesive set of functions designed to make working with strings as easy as possible. If you're not familiar with strings, the best place to start is the [chapter on strings](https://r4ds.had.co.nz/strings.html) in R for Data Science.
+Strings are not glamorous, high-profile components of R, but they do play a big role in many data cleaning and preparation tasks. The stringr package provides a cohesive set of functions designed to make working with strings as easy as possible. If you're not familiar with strings, the best place to start is the [chapter on strings](https://r4ds.hadley.nz/strings) in R for Data Science.
 
 stringr is built on top of [stringi](https://github.com/gagolews/stringi), which uses the [ICU](https://icu.unicode.org) C library to provide fast, correct implementations of common string manipulations. stringr focusses on the most important and commonly used string manipulation functions whereas stringi provides a comprehensive set covering almost anything you can imagine. If you find that stringr is missing a function that you need, try looking in stringi. Both packages share similar conventions, so once you've mastered stringr, you should find stringi similarly easy to use.
 

diff --git a/README.md b/README.md
@@ -21,7 +21,7 @@ play a big role in many data cleaning and preparation tasks. The stringr
 package provides a cohesive set of functions designed to make working
 with strings as easy as possible. If you’re not familiar with strings,
 the best place to start is the [chapter on
-strings](https://r4ds.had.co.nz/strings.html) in R for Data Science.
+strings](https://r4ds.hadley.nz/strings) in R for Data Science.
 
 stringr is built on top of
 [stringi](https://github.com/gagolews/stringi), which uses the

diff --git a/_pkgdown.yml b/_pkgdown.yml
@@ -13,7 +13,7 @@ template:
 home:
   links:
   - text: Learn more at R4DS
-    href: http://r4ds.had.co.nz/strings.html
+    href: http://r4ds.hadley.nz/strings.html
 
 reference:
 - title: Pattern matching