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Simple, flexible, assertions on data.frame or data.table objects with verbose output for vetting. While other assertion packages apply towards more general use-cases, assertable is tailored towards tabular data. It includes functions to check variable names and values, whether the dataset contains all combinations of a given set of unique identifiers, and whether it is a certain length. In addition, assertable includes utility functions to check the existence of target files and to efficiently import multiple tabular data files into one data.table.
Version: | 0.2.8 |
Depends: | R (≥ 3.1.0) |
Imports: | data.table, parallel |
Suggests: | knitr, rmarkdown |
Published: | 2021-01-27 |
DOI: | 10.32614/CRAN.package.assertable |
Author: | Grant Nguyen [aut, cre], Max Czapanskiy [ctb] |
Maintainer: | Grant Nguyen <grant.nguyen at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | assertable results |
Reference manual: | assertable.pdf |
Vignettes: |
assertable template assertable data assertion intro assertable file assertion intro |
Package source: | assertable_0.2.8.tar.gz |
Windows binaries: | r-devel: assertable_0.2.8.zip, r-release: assertable_0.2.8.zip, r-oldrel: assertable_0.2.8.zip |
macOS binaries: | r-release (arm64): assertable_0.2.8.tgz, r-oldrel (arm64): assertable_0.2.8.tgz, r-release (x86_64): assertable_0.2.8.tgz, r-oldrel (x86_64): assertable_0.2.8.tgz |
Old sources: | assertable archive |
Reverse imports: | ezmmek |
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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.