randomize.mca: Create a randomized mca on the basis of an existing mca

In Rsoc/soc.ca: Specific Correspondence Analysis for the Social Sciences

Create a randomized mca on the basis of an existing mca

Description

We sample from each of the active variables independently removing the original correlations but retaining the frequencies of the categories. This function is useful to see the extent to which the mca solution reflects the correlations between variables or the frequency distribution between the active categories. Passive categories are inherited from the original analysis.

Usage

randomize.mca(r, replace = FALSE)

Arguments

r	a result object from soc.mca
replace

Value

a soc.mca object

Examples

example(soc.mca)
randomize.mca(result)

Rsoc/soc.ca documentation built on March 7, 2024, 8:59 p.m.