The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 2024-12-03
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.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 form https://CRAN.R-project.org/package=messy 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.
Health stats visible at Monitor.