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.


News

version 0.1.5

  • The '.' is now used to reference the validated data set as whole.
  • Small change in output of 'compare' to match the table in van den Broek et al. (2013)

version 0.1.4

  • 'confront' now emits a warining when variable name conflicts with name of a reference data set
  • Deprecated 'validate_reset', in favour of the shorter 'reset' (use 'validate::reset' in case of ambiguity)
  • Deprecated 'validate_options' in favour of the shorter 'voptions'
  • New option na.value with default value NA, controlling the output when a rule evaluates to NA.
  • Added rules from the ESSnet on validation (deliverable 17) to automated tests.
  • added 'grepl' to allowed validation syntax (suggested by Dusan Sovic)
  • exported a few functions w/ keywords internal for extensibility
  • Bugfix: blocks sometimes reported wrong nr of blocks (in case of a single connected block.)
  • Bugfix: macro expansion failed when macros were reused in other macros.
  • Bugfix: certain nonlinear relations were recognized as linear
  • Bugfix: rules that use (anonymous) function definitions raised error when printed.

version 0.1.3

  • initial release

Reference manual

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install.packages("validate")

0.1.7 by Mark van der Loo, 3 months ago


https://github.com/data-cleaning/validate


Report a bug at https://github.com/data-cleaning/validate/issues


Browse source code at https://github.com/cran/validate


Authors: Mark van der Loo [cre, aut], Edwin de Jonge [aut], Paul Hsieh [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports graphics, settings, yaml

Depends on methods

Suggests testthat, knitr


Imported by deductive, rspa.

Depended on by errorlocate.


See at CRAN