generate.ext

Generates an artificial (NxH) external variable matrix.

Performing multiple-class cluster correspondence analysis(MCCCA). The main functions are create.MCCCAdata() to create a list to be applied to MCCCA, MCCCA() to apply MCCCA, and plot.mccca() for visualizing MCCCA result. Methods used in the
package refers to Mariko Takagishi and Michel van de Velden (2022)<doi:10.1080/10618600.2022.2035737>.

Mariko Takagishi

mccca

Visualizing Class Specific Heterogeneous Tendencies in
Categorical Data

generate.ext function

<dl><dt>N</dt>
<dd>The number of observation.</dd>
<dt>extcate.vec</dt>
<dd>A vector of length H, each element indicates the number of category for each H external variables.</dd>
<dt>unbala.cate</dt>
<dd>logical value. If TRUE, the proportion of categories in the external variable is unbalanced. The default is FALSE.</dd></dl>

Arguments

generates an artificial (NxH) external variable matrix. — generate.ext

<dl>

<dt>N</dt>
<dd>The number of observation.</dd>


<dt>extcate.vec</dt>
<dd>A vector of length H, each element indicates the number of category for each H external variables.</dd>


<dt>unbala.cate</dt>
<dd>logical value. If TRUE, the proportion of categories in the external variable is unbalanced. The default is FALSE.</dd>

</dl>

generate.ext: generates an artificial (NxH) external variable matrix.

Description

Usage

Value

Arguments

See Also

Examples