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 
[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 |
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