make.dfs.for.X

Helper function for the plot functions to add variable markers and labels 
to the predictor 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.dfs.for.X function

<dl><dt>Xo</dt>
<dd>Original predictor matrix</dd>
<dt>P</dt>
<dd>an integer indicating the number of predictor variables</dd>
<dt>B</dt>
<dd>matrix (P x S) with weights</dd>
<dt>xnames</dt>
<dd>a vector with variable names</dd>
<dt>mx</dt>
<dd>averages of the original predictor matrix</dd>
<dt>sdx</dt>
<dd>standard deviations of the original predictor matrix</dd></dl>

Arguments

Helper function for the plot functions — make.dfs.for.X

<dl>

<dt>Xo</dt>
<dd>Original predictor matrix</dd>


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


<dt>B</dt>
<dd>matrix (P x S) with weights</dd>


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


<dt>mx</dt>
<dd>averages of the original predictor matrix</dd>


<dt>sdx</dt>
<dd>standard deviations of the original predictor matrix</dd>

</dl>

make.dfs.for.X: Helper function for the plot functions

Description

Usage

Value

Arguments