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: 0.1.0
Imports: dplyr, stringr, stringi, tidyselect, purrr, janitor, rlang, lubridate, magrittr, tibble, rstudioapi, tidyr, forcats, bit64, rio, readr, vroom, readxl, fs, rlist, printr
Suggests: knitr, rmarkdown, badger
Published: 2021-10-03
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://github.com/Harrison4192/framecleaner, https://harrison4192.github.io/framecleaner/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: framecleaner results

Downloads:

Reference manual: framecleaner.pdf
Vignettes: cleanYourFrame
Package source: framecleaner_0.1.0.tar.gz
Windows binaries: r-devel: framecleaner_0.1.0.zip, r-release: framecleaner_0.1.0.zip, r-oldrel: framecleaner_0.1.0.zip
macOS binaries: r-release (arm64): framecleaner_0.1.0.tgz, r-release (x86_64): framecleaner_0.1.0.tgz, r-oldrel: framecleaner_0.1.0.tgz

Reverse dependencies:

Reverse imports: presenter, tidybins, validata

Linking:

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