mcabasic: Classical multiple correspondence analysis

In MCAvariants: Multiple Correspondence Analysis Variants

Classical multiple correspondence analysis

Description

This function is used in the main function MCAvariants when the input parameter is catype="mca".

Usage

mcabasic(xo, np, nmod, tmod, rows, idr, idc, idcv)

Arguments

xo	The starting table of variables in reduced code.
np	The column number of the starting table (coincident with the variable number).
nmod	The number of variable catgories of each variable.
tmod	The total number of variable catgories.
rows	The row number of the starting table (coincident with the individual number).
idr	The row labels of the data table.
idc	The column labels of the data table.
idcv	The labels of the categories of each variable.

Note

This function belongs to the R object class called mcabasicresults.

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.