Parsing, Applying, and Manipulating Data Cleaning Rules

Please note: active development has moved to packages 'validate' and 'errorlocate'. Facilitates reading and manipulating (multivariate) data restrictions (edit rules) on numerical and categorical data. Rules can be defined with common R syntax and parsed to an internal (matrix-like format). Rules can be manipulated with variable elimination and value substitution methods, allowing for feasibility checks and more. Data can be tested against the rules and erroneous fields can be found based on Fellegi and Holt's generalized principle. Rules dependencies can be visualized with using the 'igraph' package.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("editrules")

2.9.6 by Edwin de Jonge, 10 months ago


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


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


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


Authors: Edwin de Jonge [aut, cre] (ORCID: , Mark van der Loo [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports lpSolveAPI

Depends on igraph

Suggests testthat


Depended on by deducorrect.

Suggested by rspa.


See at CRAN