From 300ac64ef603456b31fb07ef7fe09c5eaa5544f7 Mon Sep 17 00:00:00 2001
From: zekiakyol <40212849+zekiakyol@users.noreply.github.com>
Date: Sun, 3 Sep 2023 14:42:41 +0300
Subject: [PATCH 1/3] Update r4ds url
- This pull request updates r4ds() to r4ds 2e (https://r4ds.hadley.nz/).
---
README.Rmd | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/README.Rmd b/README.Rmd
index 3e81dfb4..765a29b9 100644
--- 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.
From 089a906a7d11e63718baee5b3ac7d7adf4485879 Mon Sep 17 00:00:00 2001
From: zekiakyol <40212849+zekiakyol@users.noreply.github.com>
Date: Fri, 15 Sep 2023 14:08:57 +0300
Subject: [PATCH 2/3] run `devtools::build_readme()`
It updates README.md by running `devtools::build_readme()`.
---
README.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/README.md b/README.md
index 73af00a4..7069f307 100644
--- 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
From f6e59a7553d1bbb5b865bc92cef0bed09daaaa8e Mon Sep 17 00:00:00 2001
From: Hadley Wickham
Date: Tue, 31 Oct 2023 07:56:06 -0500
Subject: [PATCH 3/3] Also update pkgdown url
---
_pkgdown.yml | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/_pkgdown.yml b/_pkgdown.yml
index b0229c94..741e9dee 100644
--- 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