Take real or simulated data and salt it with errors commonly found in the wild, such as pseudo-OCR errors, Unicode problems, numeric fields with nonsensical punctuation, bad dates, etc.
Version: | 0.1.0 |
Depends: | R (≥ 2.10) |
Imports: | assertthat, purrr, stringr |
Suggests: | charlatan, testthat (≥ 2.0.0), tibble, covr |
Published: | 2018-09-17 |
Author: | Matthew Lincoln [aut, cre] |
Maintainer: | Matthew Lincoln <matthew.d.lincoln at gmail.com> |
BugReports: | https://github.com/mdlincoln/salty/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/mdlincoln/salty |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | salty results |
Reference manual: | salty.pdf |
Package source: | salty_0.1.0.tar.gz |
Windows binaries: | r-devel: salty_0.1.0.zip, r-release: salty_0.1.0.zip, r-oldrel: salty_0.1.0.zip |
macOS binaries: | r-release: salty_0.1.0.tgz, r-oldrel: salty_0.1.0.tgz |
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