generate.cate.list

Generate an (NxJ) categorical data matrix given by prop.J.list and true cluster allocation.

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.cate.list function

<dl><dt>N</dt>
<dd>The number of observations.</dd>
<dt>prop.list</dt>
<dd>a list length J, each of which is a vector of length qj giving the proportion for each categories.</dd></dl>

Arguments

Generate (NxJ) categorical data matrix. — generate.cate.list

<dl>

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


<dt>prop.list</dt>
<dd>a list length J, each of which is a vector of length qj giving the proportion for each categories.</dd>

</dl>

generate.cate.list: Generate (NxJ) categorical data matrix.

Description

Usage

Value

Arguments