softEdits.editarray

Derive editmatrix with soft constraints based on boundaries of variables. This is a utility function that is used for 
constructing a mip/lp problem.

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

softEdits.editarray function

<dl><dt>E</dt>
<dd>normalized <code>editmatrix</code></dd>
<dt>prefix</dt>
<dd><code>character</code> used for naming dummy variables in matrix.</dd></dl>

Arguments

Derive editmatrix with soft constraints based on boundaries of variables. This is a utility function that is used for 
constructing a mip/lp problem. — softEdits.editarray

<dl>

<dt>E</dt>
<dd>normalized <code>editmatrix</code></dd>


<dt>prefix</dt>
<dd><code>character</code> used for naming dummy variables in matrix.</dd>

</dl>

softEdits.editarray: Derive editmatrix with soft constraints based on boundaries of variables. This is a utility function that is used for constructing a mip/lp problem.

Description

Usage

Arguments