isSubset

An edit defines a subregion of the space of all possible value combinations 
of a record. Records in this region are interpreted as invalid. An edit rule
which defines a region equal to or contained in the region defined by another
edit is redundant. (In data editing literature, this is often referred to as 
a domination relation.)

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

isSubset function

<dl><dt>E</dt>
<dd><code>editarray</code></dd></dl>

Arguments

Check which edits are dominated by other ones. — isSubset

<dl>

<dt>E</dt>
<dd><code>editarray</code></dd>

</dl>

isSubset: Check which edits are dominated by other ones.

Description

Usage

Value

Arguments