editrules-package: An overview of the function of package `editrules`

Description

The editrules package aims to provide an environment to conveniently define, read and check recordwise data constraints including

Linear (in)equality constraints for numerical data

, Constraints on value combinations of categorical data Conditional constraints on numerical and/or mixed data

Arguments

code

editrules

pkg

deducorrect

I. Define edits

editrules provides several methods for creating edits from a character , expression, data.frame or a text file. ll{ editfile Read conditional numerical, numerical and categorical constraints from textfile editset Create conditional numerical, numerical and categorical constraints editmatrix Create a linear constraint matrix for numerical data editarray Create value combination constraints for categorical data }

II. Check and find errors in data

editrules provides several method for checking data.frames with edits ll{ violatedEdits Find out which record violates which edit. localizeErrors Localize erroneous fields using Fellegi and Holt's principle. errorLocalizer Low-level error localization function using B&B algorithm } Note that you can call plot, summary and print on results of these functions.

IV. Manipulate and check edits

editrules provides several methods for manipulating edits ll{ substValue Substitute a value in a set of rules eliminate Derive implied rules by variable elimination reduce Remove unconstraint variables isFeasible Check for contradictions duplicated Find duplicated rules blocks Decompose rules into independent blocks disjunct Decouple conditional edits into disjunct edit sets separate Decompose rules in blocks and decouple conditinal edits generateEdits Generate all nonredundant implicit edits (editarray only) }

V. Plot and coerce edits

editrules provides several methods for plotting and coercion. ll{ editrules.plotting Plot edit-variable connectivity graph as.igraph Coerce to edit-variable connectivity igraph object as.character Coerce edits to character representation as.data.frame Store character representation in data.frame }