mcafun: Classical multiple correspondence analysis

In MCAvariants: Multiple Correspondence Analysis Variants

Classical multiple correspondence analysis

Description

This function is used in the secondary function mcabasic when the input parameter of MCAvariants is catype="mca". It performs the singular value decomposition of the weighted super-indicator matrix and compute principal axes, coordinates, weights of rows and columns and total inertia.

Usage

mcafun(XO, Burt, np, idr, idc, nmod)

Arguments

XO	The super-indicator data table.
Burt	The Burt data table.
np	The number of categorical variables.
idr	The row labels of data table.
idc	The column labels of data table.
nmod	The category number of each variable.

Author(s)

Rosaria Lombardo

References

Lombardo R and Meulman JJ (2010) Journal of Classification, 27, 191-210.
Beh EJ Lombardo R (2014) Correspondence Analysis, Theory, Practice and New Strategies. Wiley

MCAvariants documentation built on Aug. 21, 2023, 5:09 p.m.