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salty: Turn Clean Data into Messy Data

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 ORCID iD [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

Documentation:

Reference manual: salty.pdf

Downloads:

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 (arm64): salty_0.1.0.tgz, r-oldrel (arm64): salty_0.1.0.tgz, r-release (x86_64): salty_0.1.0.tgz, r-oldrel (x86_64): salty_0.1.0.tgz

Linking:

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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.