isFeasible

When variables are <code>eliminated</code> one by one
from a set of edits, eventually either no edits are left or an 
<code>obvious contradiction</code> is encountered.
In the case no records can obey all edits in the set which is therefore
<code>inFeasible</code>.

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

isFeasible function

<dl><dt>E</dt>
<dd>an <code>editmatrix</code>, <code>editarray</code> or <code>editset</code></dd>
<dt>warn</dt>
<dd>logical: should a warning be emitted when system is infeasible?</dd></dl>

Arguments

Check consistency of set of edits — isFeasible

<dl>

<dt>E</dt>
<dd>an <code>editmatrix</code>, <code>editarray</code> or <code>editset</code></dd>


<dt>warn</dt>
<dd>logical: should a warning be emitted when system is infeasible?</dd>

</dl>

isFeasible: Check consistency of set of edits

Description

Usage

Value

Arguments

See Also