Multiple Correspondence Analysis

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,
  autodetect = FALSE
)

# 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.
autodetect: A logical scalar: should numeric variables be automatically removed (except sup_quanti)?

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.

Author

N. Frerebeau