From b73dd52803bc6e2b04bd5b46a838bd6acd07d48e Mon Sep 17 00:00:00 2001
From: Zeki Akyol <40212849+zekiakyol@users.noreply.github.com>
Date: Fri, 15 Sep 2023 17:06:12 +0300
Subject: [PATCH] Update r4ds url (#1514)
* 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 | 2 +-
README.md | 14 ++++++++------
2 files changed, 9 insertions(+), 7 deletions(-)
diff --git a/README.Rmd b/README.Rmd
index 8c457f12..b8ab4d9c 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -24,7 +24,7 @@ knitr::opts_chunk$set(
The goal of readr is to provide a fast and friendly way to read rectangular data from delimited files, such as comma-separated values (CSV) and tab-separated values (TSV).
It is designed to parse many types of data found in the wild, while providing an informative problem report when parsing leads to unexpected results.
-If you are new to readr, the best place to start is the [data import chapter](https://r4ds.had.co.nz/data-import.html) in R for Data Science.
+If you are new to readr, the best place to start is the [data import chapter](https://r4ds.hadley.nz/data-import) in R for Data Science.
## Installation
diff --git a/README.md b/README.md
index e1fd57bd..82a2540f 100644
--- a/README.md
+++ b/README.md
@@ -20,7 +20,7 @@ rectangular data from delimited files, such as comma-separated values
of data found in the wild, while providing an informative problem report
when parsing leads to unexpected results. If you are new to readr, the
best place to start is the [data import
-chapter](https://r4ds.had.co.nz/data-import.html) in R for Data Science.
+chapter](https://r4ds.hadley.nz/data-import) in R for Data Science.
## Installation
@@ -52,14 +52,16 @@ readr is part of the core tidyverse, so you can load it with:
``` r
library(tidyverse)
-#> ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
-#> ✔ ggplot2 3.4.1 ✔ purrr 1.0.1
-#> ✔ tibble 3.2.0 ✔ dplyr 1.1.0
-#> ✔ tidyr 1.3.0 ✔ stringr 1.5.0
-#> ✔ readr 2.1.4.9000 ✔ forcats 1.0.0
+#> ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
+#> ✔ dplyr 1.1.3 ✔ readr 2.1.4.9000
+#> ✔ forcats 1.0.0 ✔ stringr 1.5.0
+#> ✔ ggplot2 3.4.3 ✔ tibble 3.2.1
+#> ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
+#> ✔ purrr 1.0.2
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag() masks stats::lag()
+#> ℹ Use the conflicted package () to force all conflicts to become errors
```
Of course, you can also load readr as an individual package: