checkDatamodel

an object of class <code><a href="/link/editset?package=editrules&version=2.7.2" rd-options="" data-mini-rdoc="editrules::editset">editset</a></code>,
  <code><a href="/link/editarray?package=editrules&version=2.7.2" rd-options="" data-mini-rdoc="editrules::editarray">editarray</a></code>, or <code><a href="/link/editmatrix?package=editrules&version=2.7.2" rd-options="" data-mini-rdoc="editrules::editmatrix">editmatrix</a></code>

vector of weigths for every variable of
  <code>dat</code> or an array of weight of the same dimensions
  as <code>dat</code>.

weight

arguments to be passed to or from other
  methods

Categorical variables in <code>dat</code> which also occur in
  <code>E</code> are checked against the datamodel for those
  variables. Numerical variables are checked against edits
  in <code>E</code> that contain only a single variable (e.g.
  $x > 0$). Values violating such edits as well as
  empty values are set to adapt.

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.

checkDatamodel: Check data against a datamodel

Description

Usage

Arguments

Value

See Also