dimensio (version 0.9.0)

mca: Multiple Correspondence Analysis

Description

Computes a multiple correspondence analysis.

Usage

mca(object, ...)
# S4 method for data.frame
mca(object, rank = NULL, sup_row = NULL, sup_col = NULL, sup_quanti = NULL)
# S4 method for matrix
mca(object, rank = NULL, sup_row = NULL, sup_col = NULL)

Value

A MCA object.

Arguments

object

A \(m \times p\) numeric matrix or a data.frame.

...

Currently not used.

rank

An integer value specifying the maximal number of components to be kept in the results. If NULL (the default), \(min(m, p) - 1\) components will be returned.

sup_row

A vector specifying the indices of the supplementary rows.

sup_col

A vector specifying the indices of the supplementary categorical columns.

sup_quanti

A vector specifying the indices of the supplementary quantitative columns.

Author

N. Frerebeau

References

Lebart, L., Piron, M. and Morineau, A. Statistique exploratoire multidimensionnelle: visualisation et inférence en fouille de données. Paris: Dunod, 2006.

See Also

svd(), cdt()

Other multivariate analysis: ca(), pca(), pcoa(), predict()