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 + file LICENSE
URL:	https://harrison4192.github.io/framecleaner/, https://github.com/Harrison4192/framecleaner
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	framecleaner results

Documentation:

Reference manual:	framecleaner.pdf
Vignettes:	cleanYourFrame

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, tidybins, TidyConsultant, validata

Linking:

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