messy: Create Messy Data from Clean Data Frames (original) (raw)

For the purposes of teaching, it is often desirable to show examples of working with messy data and how to clean it. This R package creates messy data from clean, tidy data frames so that students have a clean example to work towards.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: dplyr, rlang, stringr
Suggests: lubridate, testthat (≥ 3.0.0)
Published: 2024-12-03
DOI: 10.32614/CRAN.package.messy
Author: Nicola Rennie ORCID iD [aut, cre, cph]
Maintainer: Nicola Rennie
BugReports: https://github.com/nrennie/messy/issues
License: CC BY 4.0
URL: https://nrennie.rbind.io/messy/, https://github.com/nrennie/messy
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: messy results

Documentation:

Reference manual: messy.html , <messy.pdf>

Downloads:

Package source: messy_0.1.0.tar.gz
Windows binaries: r-devel: messy_0.1.0.zip, r-release: messy_0.1.0.zip, r-oldrel: messy_0.1.0.zip
macOS binaries: r-release (arm64): messy_0.1.0.tgz, r-oldrel (arm64): messy_0.1.0.tgz, r-release (x86_64): messy_0.1.0.tgz, r-oldrel (x86_64): messy_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=messyto link to this page.