Create Messy Data from Clean Data Frames [R package messy version 0.1.0]

Nicola Rennie

messy: Create Messy Data from Clean Data Frames

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年12月03日

DOI: 10.32614/CRAN.package.messy

Author: Nicola Rennie ORCID iD [aut, cre, cph]

Maintainer: Nicola Rennie <nrennie35 at gmail.com>

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:

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