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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 + 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:

Please use the canonical form https://CRAN.R-project.org/package=framecleaner to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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