dataExample_clmdu

datasets

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

dataExample_clmdu function

A data frame with 200 observations on the following variables:<dl>
 <dt><code>X1</code></dt>
<dd>Continuous variable 1.</dd> <dt><code>X2</code></dt>
<dd>Continuous variable 2.</dd> <dt><code>X3</code></dt>
<dd>Continuous variable 3.</dd> <dt><code>X4</code></dt>
<dd>Continuous variable 4.</dd> <dt><code>Y1</code></dt>
<dd>Discrete variable 1.</dd> <dt><code>Y2</code></dt>
<dd>Discrete variable 2.</dd> <dt><code>Y3</code></dt>
<dd>Discrete variable 3.</dd> <dt><code>Y4</code></dt>
<dd>Discrete variable 4.</dd> <dt><code>Y5</code></dt>
<dd>Discrete variable 5.</dd> 
</dl>

Format

Dummy data for clmdu example — dataExample_clmdu

A data frame with 200 observations on the following variables:<dl>
 <dt><code>X1</code></dt>
<dd>Continuous variable 1.</dd>

 <dt><code>X2</code></dt>
<dd>Continuous variable 2.</dd>

 <dt><code>X3</code></dt>
<dd>Continuous variable 3.</dd>

 <dt><code>X4</code></dt>
<dd>Continuous variable 4.</dd>

 <dt><code>Y1</code></dt>
<dd>Discrete variable 1.</dd>

 <dt><code>Y2</code></dt>
<dd>Discrete variable 2.</dd>

 <dt><code>Y3</code></dt>
<dd>Discrete variable 3.</dd>

 <dt><code>Y4</code></dt>
<dd>Discrete variable 4.</dd>

 <dt><code>Y5</code></dt>
<dd>Discrete variable 5.</dd>

 
</dl>

dataExample_clmdu: Dummy data for clmdu example

Description

Usage

Arguments

Format