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-rw-r--r--gnu/packages/cran.scm40
1 files changed, 40 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index de6986d1eb..57c2ae5d15 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -28942,6 +28942,46 @@ novels, ready for text analysis. These novels are \"Sense and Sensibility\",
and \"Persuasion\".")
(license license:expat)))
+(define-public r-janitor
+ (package
+ (name "r-janitor")
+ (version "2.1.0")
+ (source (origin
+ (method url-fetch)
+ (uri (cran-uri "janitor" version))
+ (sha256
+ (base32
+ "09nqm957m2f54y2l30619b58x4i7gxwvr2lwg5kly5xy1ya1a1nn"))))
+ (properties `((upstream-name . "janitor")))
+ (build-system r-build-system)
+ (propagated-inputs
+ (list r-dplyr
+ r-lifecycle
+ r-lubridate
+ r-magrittr
+ r-purrr
+ r-rlang
+ r-snakecase
+ r-stringi
+ r-stringr
+ r-tidyr
+ r-tidyselect))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/sfirke/janitor")
+ (synopsis "Simple tools for examining and cleaning dirty data")
+ (description
+ "The main janitor functions can: perfectly format @code{data.frame column}
+names; provide quick counts of variable combinations (i.e., frequency tables
+and crosstabs); and isolate duplicate records. Other janitor functions nicely
+format the tabulation results. These tabulate-and-report functions
+approximate popular features of SPSS and Excel. This package follows the
+principles of the \"tidyverse\" and works well with the pipe function
+@code{%>%}. janitor was built with beginning-to-intermediate R users in mind
+and is optimized for user-friendliness. Advanced R users can already do
+everything covered here, but with janitor they can do it faster and save their
+thinking for the fun stuff.")
+ (license license:expat)))
+
(define-public r-tokenizers
(package
(name "r-tokenizers")