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 | 
| 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 | 
| Reference manual: | messy.html , messy.pdf | 
| 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 | 
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