FactoMineR (version 1.01)

CA: 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)

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

Value

• Returns a list including:
• eig
  a numeric vector containing all the eigenvalues
• 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.

References

BENZECRI, J.-P. (1992) Correspondence Analysis Handbook, New-York : Dekker BENZECRI, J.-P. (1980) L'analyse des donn�es 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

Examples

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