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Update r4ds url #524

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merged 3 commits into from
Oct 31, 2023
Merged

Update r4ds url #524

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300ac64
Update r4ds url
zekiakyol Sep 3, 2023
089a906
run `devtools::build_readme()`
zekiakyol Sep 15, 2023
f6e59a7
Also update pkgdown url
hadley Oct 31, 2023
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2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -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.

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion _pkgdown.yml
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Expand Up @@ -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
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