{"Package":"purrr","Title":"Functional Programming Tools","Version":"1.0.2","Authors@R":"c(\nperson(\"Hadley\", \"Wickham\", , \"hadley@rstudio.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-4757-117X\")),\nperson(\"Lionel\", \"Henry\", , \"lionel@rstudio.com\", role = \"aut\"),\nperson(\"RStudio\", role = c(\"cph\", \"fnd\"))\n)","Description":"A complete and consistent functional programming toolkit for\nR.","License":"MIT + file LICENSE","URL":"https://purrr.tidyverse.org/, https://github.com/tidyverse/purrr","BugReports":"https://github.com/tidyverse/purrr/issues","Depends":"R (>= 3.5.0)","Imports":"cli (>= 3.6.1), lifecycle (>= 1.0.3), magrittr (>= 1.5.0),\nrlang (>= 1.1.1), vctrs (>= 0.6.3)","Suggests":"covr, dplyr (>= 0.7.8), httr, knitr, lubridate, rmarkdown,\ntestthat (>= 3.0.0), tibble, tidyselect","LinkingTo":"cli","VignetteBuilder":"knitr","Biarch":"true","Config/Needs/website":"tidyverse/tidytemplate, tidyr","Config/testthat/edition":"3","Encoding":"UTF-8","RoxygenNote":"7.2.3","NeedsCompilation":"yes","Packaged":"2023-08-08 16:13:31 UTC; hadleywickham","Author":"Hadley Wickham [aut, cre] (),\nLionel Henry [aut],\nRStudio [cph, fnd]","Maintainer":"Hadley Wickham ","Repository":"CRAN","Date/Publication":"2023-08-10 08:20:07 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/purrr_1.0.2.tar.gz","jsonAuthors":[{"name":"Hadley Wickham","email":"hadley@rstudio.com","maintainer":true},{"name":"Lionel Henry","email":"lionel@rstudio.com","maintainer":false},{"name":"RStudio ","email":null,"maintainer":false}],"readme":"\n\n\n# purrr

\n\n\n\n[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/purrr)](https://cran.r-project.org/package=purrr)\n[![Codecov test\ncoverage](https://codecov.io/gh/tidyverse/purrr/branch/master/graph/badge.svg)](https://app.codecov.io/gh/tidyverse/purrr?branch=master)\n[![R build\nstatus](https://github.com/tidyverse/purrr/workflows/R-CMD-check/badge.svg)](https://github.com/tidyverse/purrr/actions)\n\n\n## Overview\n\npurrr enhances R’s functional programming (FP) toolkit by providing a\ncomplete and consistent set of tools for working with functions and\nvectors. If you’ve never heard of FP before, the best place to start is\nthe family of `map()` functions which allow you to replace many for\nloops with code that is both more succinct and easier to read. The best\nplace to learn about the `map()` functions is the [iteration\nchapter](https://r4ds.had.co.nz/iteration.html) in R for data science.\n\n## Installation\n\n``` r\n# The easiest way to get purrr is to install the whole tidyverse:\ninstall.packages(\"tidyverse\")\n\n# Alternatively, install just purrr:\ninstall.packages(\"purrr\")\n\n# Or the the development version from GitHub:\n# install.packages(\"remotes\")\nremotes::install_github(\"tidyverse/purrr\")\n```\n\n## Cheatsheet\n\n

\n\n## Usage\n\nThe following example uses purrr to solve a fairly realistic problem:\nsplit a data frame into pieces, fit a model to each piece, compute the\nsummary, then extract the R².\n\n``` r\nlibrary(purrr)\n\nmtcars |> \n split(mtcars$cyl) |> # from base R\n map(\\(df) lm(mpg ~ wt, data = df)) |> \n map(summary) %>%\n map_dbl(\"r.squared\")\n#> 4 6 8 \n#> 0.5086326 0.4645102 0.4229655\n```\n\nThis example illustrates some of the advantages of purrr functions over\nthe equivalents in base R:\n\n- The first argument is always the data, so purrr works naturally with\n the pipe.\n\n- All purrr functions are type-stable. They always return the advertised\n output type (`map()` returns lists; `map_dbl()` returns double\n vectors), or they throw an error.\n\n- All `map()` functions accept functions (named, anonymous, and lambda),\n character vector (used to extract components by name), or numeric\n vectors (used to extract by position).","jobInfo":{"package":"purrr","version":"1.0.2","parsingStatus":"success","parserVersion":2,"parsedAt":"2023-08-10T10:30:31+0000"}}

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