make.df.for.varlabels

Helper function for the plot functions to add variable labels 
to the predictor and response variable axes

Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).

Mark de Rooij

lmap

Logistic Mapping

Frank Busing

Juan Claramunt Gonzalez

make.df.for.varlabels function

<dl><dt>BV</dt>
<dd>Concatention of matrices B (P x S) and V (R x S) or only V (R x S) from lpca</dd>
<dt>margins</dt>
<dd>a vector of length four indicating the margins of the plot</dd>
<dt>names</dt>
<dd>a vector with variable names</dd>
<dt>P</dt>
<dd>an integer indicating the number of predictor variables</dd>
<dt>R</dt>
<dd>an integer indicating the number of response variables</dd></dl>

Arguments

Helper function for the plot functions — make.df.for.varlabels

<dl>

<dt>BV</dt>
<dd>Concatention of matrices B (P x S) and V (R x S) or only V (R x S) from lpca</dd>


<dt>margins</dt>
<dd>a vector of length four indicating the margins of the plot</dd>


<dt>names</dt>
<dd>a vector with variable names</dd>


<dt>P</dt>
<dd>an integer indicating the number of predictor variables</dd>


<dt>R</dt>
<dd>an integer indicating the number of response variables</dd>

</dl>

make.df.for.varlabels: Helper function for the plot functions

Description

Usage

Value

Arguments