threewayboot

This function allows to generate non-parametric bootstrap samples in order to check the 
optimal dimension number of three-way correspondence analysis. The boostrap samples 
have the same marginal proportions and the total number of the original table.
Do nboots bootstrap on the indicator matrix X (observations x (rows+cols+tubs) categories).
From a three-way contingency table, it makes the indicator using <code>makeindicator</code>.
The output is a list of three-way tables.

internal

Provides four variants of three-way correspondence analysis (ca):
three-way symmetrical ca, three-way non-symmetrical ca, three-way ordered symmetrical ca
and three-way ordered non-symmetrical ca.

Rosaria Lombardo

CA3variants

Three-Way Correspondence Analysis Variants

threewayboot function

<dl><dt>Xdata</dt>
<dd>The three-way contingency array. It must be an <code>R</code> object array.</dd><dt>nboots</dt>
<dd>The number of bootstrap samples to generate when <code>boots = T</code>. By default <code>nboots = 0</code>.</dd></dl>

Arguments

Rosaria Lombardo, Michel van de Velden, Eric J Beh.

Author

Generation of non-parametric bootstrap samples — threewayboot

<dl>

<dt>Xdata</dt>
<dd>The three-way contingency array. It must be an <code>R</code> object array.</dd>

<dt>nboots</dt>
<dd>The number of bootstrap samples to generate when <code>boots = T</code>. By default <code>nboots = 0</code>.</dd>

</dl>

threewayboot: Generation of non-parametric bootstrap samples

Description

Usage

Arguments

Author

References