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'.">

framecleaner: Clean Data Frames (original) (raw)

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

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