dplyr is on CRAN ()

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Hadley Wickham 2023-01-30 11:23:29 -06:00 committed by GitHub
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@ -37,7 +37,6 @@ Suggests:
knitr,
sessioninfo
Remotes:
tidyverse/dplyr,
tidyverse/tidyverse
Encoding: UTF-8
License: CC NC ND 3.0

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@ -25,11 +25,6 @@ Learning functional programming can easily veer into the abstract, but in this c
### Prerequisites
::: callout-important
This chapter relies on features only found in dplyr 1.1.0, which is still in development.
If you want to live life on the edge you can get the dev version with `devtools::install_github(c( "tidyverse/dplyr"))`.
:::
In this chapter, we'll focus on tools provided by dplyr and purrr, both core members of the tidyverse.
You've seen dplyr before, but [purrr](http://purrr.tidyverse.org/) is new.
We're just going to use a couple of purrr functions in this chapter, but it's a great package to explore as you improve your programming skills.

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@ -18,11 +18,6 @@ We'll finish off by covering the summary functions that pair well with `summariz
### Prerequisites
::: callout-important
This chapter relies on features only found in dplyr 1.1.0, which is still in development.
If you want to live on the edge, you can get the dev versions with `devtools::install_github("tidyverse/dplyr")`.
:::
This chapter mostly uses functions from base R, which are available without loading any packages.
But we still need the tidyverse because we'll use these base R functions inside of tidyverse functions like `mutate()` and `filter()`.
Like in the last chapter, we'll use real examples from nycflights13, as well as toy examples made with `c()` and `tribble()`.