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Multiple Correspondence Analysis

Source: R/AllGenerics.R, R/mca.R
mca.Rd

Computes a multiple correspondence analysis.

Usage

mca(object, ...)

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

# S4 method for class 'matrix'
mca(object, rank = NULL, sup_row = NULL, sup_col = NULL)

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.

Value

A MCA object.

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()

Author

N. Frerebeau