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Offers a comprehensive set of assertion tests to help users validate the integrity of their data. These tests can be used to check for specific conditions or properties within a dataset and help ensure that data is accurate and reliable. The package is designed to make it easy to add quality control checks to data analysis workflows and to aid in identifying and correcting any errors or inconsistencies in data.
Version: | 0.6.0 |
Imports: | checkmate, cli, dplyr, findR, janitor, kit, lubridate, magrittr, purrr, stats, stringr, tibble |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-02-26 |
DOI: | 10.32614/CRAN.package.vvauditor |
Author: | Tomer Iwan [aut, cre, cph] |
Maintainer: | Tomer Iwan <t.iwan at vu.nl> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | vvauditor results |
Reference manual: | vvauditor.pdf |
Vignettes: |
dataset-summary |
Package source: | vvauditor_0.6.0.tar.gz |
Windows binaries: | r-devel: vvauditor_0.6.0.zip, r-release: vvauditor_0.6.0.zip, r-oldrel: vvauditor_0.6.0.zip |
macOS binaries: | r-release (arm64): vvauditor_0.6.0.tgz, r-oldrel (arm64): vvauditor_0.6.0.tgz, r-release (x86_64): vvauditor_0.6.0.tgz, r-oldrel (x86_64): vvauditor_0.6.0.tgz |
Old sources: | vvauditor archive |
Please use the canonical form https://CRAN.R-project.org/package=vvauditor to link to this page.
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.