CA {FactoMineR}R Documentation

Correspondence Analysis (CA)

Description

Performs Correspondence Analysis (CA) including supplementary row and/or column points.

Usage

CA(X, ncp = 5, row.sup = NULL, col.sup = NULL, graph = TRUE,
    axes = c(1,2), row.w = NULL)

Arguments

X a data frame with n rows and p columns, i.e. a contingency table
ncp number of dimensions kept in the results (by default 5)
row.sup a vector indicating the indexes of the supplementary rows
col.sup a vector indicating the indexes of the supplementary columns
graph boolean, if TRUE a graph is displayed
axes a length 2 vector specifying the components to plot
row.w an optional row weights (by default, uniform row weights)

Value

Returns a list including:

eig a matrix containing all the eigenvalues, the percentage of variance and the cumulative percentage of variance
col a list of matrices with all the results for the column variable (coordinates, square cosine, contributions)
row a list of matrices with all the results for the row variable (coordinates, square cosine, contributions)
col.sup a list of matrices containing all the results for the supplementary column points (coordinates, square cosine)
row.sup a list of matrices containing all the results for the supplementary row points (coordinates, square cosine)
call a list with some statistics


Returns the row and column points factor map.

Author(s)

Jeremy Mazet, Francois Husson Francois.Husson@agrocampus-ouest.fr

References

BENZECRI, J.-P. (1992) Correspondence Analysis Handbook, New-York : Dekker
BENZECRI, J.-P. (1980) L'analyse des données tome 2 : l'analyse des correspondances, Paris : Bordas
GREENACRE, M.J. (1993) Correspondence Analysis in Practice, London : Academic Press

See Also

print.CA, plot.CA, dimdesc

Examples

data(children)
res.ca <- CA (children, col.sup = 6:8, row.sup = 15:18)

[Package FactoMineR version 1.10 Index]