validate: Data Validation Infrastructure

Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity.

Version: 0.2.0
Depends: R (≥ 3.1.3), methods
Imports: graphics, settings, yaml
Suggests: testthat, knitr, rmarkdown
Enhances: lumberjack
Published: 2017-08-07
Author: Mark van der Loo [cre, aut], Edwin de Jonge [aut], Paul Hsieh [ctb]
Maintainer: Mark van der Loo <mark.vanderloo at gmail.com>
BugReports: https://github.com/data-cleaning/validate/issues
License: GPL-3
URL: https://github.com/data-cleaning/validate
NeedsCompilation: yes
Materials: NEWS
CRAN checks: validate results

Downloads:

Reference manual: validate.pdf
Vignettes: 02_Indicators
01_Introduction
Rules in text files
Package source: validate_0.2.0.tar.gz
Windows binaries: r-devel: validate_0.2.0.zip, r-release: validate_0.2.0.zip, r-oldrel: validate_0.2.0.zip
OS X El Capitan binaries: r-release: validate_0.2.0.tgz
OS X Mavericks binaries: r-oldrel: validate_0.2.0.tgz
Old sources: validate archive

Reverse dependencies:

Reverse depends: errorlocate, validatetools
Reverse imports: dcmodify, deductive, rspa

Linking:

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