parseCat

Parse a categorical edit expression

internal

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.

Edwin Jonge

editrules

Parsing, Applying, and Manipulating Data Cleaning Rules

parseCat function

<dl><dt>x</dt>
<dd>a valid R expression</dd>
<dt>val</dt>
<dd>logical (scalar)</dd>
<dt>edit</dt>
<dd>logical (vector)</dd>
<dt>sep</dt>
<dd>edit separator</dd>
<dt>useLogical</dt>
<dd>(logical), should logicals be treated as a factor or as a logical?</dd></dl>

Arguments

Parse a categorical edit expression — parseCat

<dl>

<dt>x</dt>
<dd>a valid R expression</dd>


<dt>val</dt>
<dd>logical (scalar)</dd>


<dt>edit</dt>
<dd>logical (vector)</dd>


<dt>sep</dt>
<dd>edit separator</dd>


<dt>useLogical</dt>
<dd>(logical), should logicals be treated as a factor or as a logical?</dd>

</dl>

parseCat: Parse a categorical edit expression

Description

Usage

Arguments