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framecleaner: Clean Data Frames

Provides a friendly interface for modifying data frames with a sequence of piped commands built upon the 'tidyverse' Wickham et al., (2019) <doi:10.21105/joss.01686> . The majority of commands wrap 'dplyr' mutate statements in a convenient way to concisely solve common issues that arise when tidying small to medium data sets. Includes smart defaults and allows flexible selection of columns via 'tidyselect'.

Version:	0.2.1
Imports:	dplyr,stringr,tidyselect,purrr,janitor,rlang,lubridate,magrittr,tibble,rstudioapi,forcats,bit64,rio,readr,vroom,fs,rlist,fastDummies
Suggests:	knitr,rmarkdown,badger,readxl
Published:	2024-03-15
DOI:	10.32614/CRAN.package.framecleaner
Author:	Harrison Tietze [aut, cre]
Maintainer:	Harrison Tietze <Harrison4192 at gmail.com>
BugReports:	https://github.com/Harrison4192/framecleaner/issues
License:	MIT + fileLICENSE
URL:	https://harrison4192.github.io/framecleaner/,https://github.com/Harrison4192/framecleaner
NeedsCompilation:	no
Materials:	README,NEWS
CRAN checks:	framecleaner results

Documentation:

Reference manual:	framecleaner.html ,framecleaner.pdf
Vignettes:	cleanYourFrame (source,R code)

Downloads:

Package source:	framecleaner_0.2.1.tar.gz
Windows binaries:	r-devel:framecleaner_0.2.1.zip, r-release:framecleaner_0.2.1.zip, r-oldrel:framecleaner_0.2.1.zip
macOS binaries:	r-release (arm64):framecleaner_0.2.1.tgz, r-oldrel (arm64):framecleaner_0.2.1.tgz, r-release (x86_64):framecleaner_0.2.1.tgz, r-oldrel (x86_64):framecleaner_0.2.1.tgz
Old sources:	framecleaner archive

Reverse dependencies:

Reverse imports:

autostats,presenter,validata

Linking:

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