simulabootstrat

This function allows to generate 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 total number of the original table.
Te adopted sampling scheme is stratified.

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

simulabootstrat function

<dl><dt>Xtable</dt>
<dd>The three-way data array. It must be an <code>R</code> object array.
When non-symmetrical analysis for one response variable is performed, the response mode is the row variable.</dd><dt>nboots</dt>
<dd>The number of bootstrap samples to generate when <code>boots = T</code>. By default <code>nboots = 0</code>.</dd><dt>resamptype</dt>
<dd>Set value of resamptype according to two methods: <code>resamptype=1</code> corresponds to multinomial distribution
and <code>resamptype=2</code> to Poisson distribution.</dd></dl>

Arguments

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

Author

Generation of parametric bootstrap samples — simulabootstrat

<dl>

<dt>Xtable</dt>
<dd>The three-way data array. It must be an <code>R</code> object array.
When non-symmetrical analysis for one response variable is performed, the response mode is the row variable.</dd>

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

<dt>resamptype</dt>
<dd>Set value of resamptype according to two methods: <code>resamptype=1</code> corresponds to multinomial distribution
and <code>resamptype=2</code> to Poisson distribution.</dd>

</dl>

simulabootstrat: Generation of parametric bootstrap samples

Description

Usage

Arguments

Author

References