MASS (version 7.3-18)

mca: Multiple Correspondence Analysis

Description

Computes a multiple correspondence analysis of a set of factors.

Usage

mca(df, nf = 2, abbrev = FALSE)

Arguments

df

A data frame containing only factors

nf

The number of dimensions for the MCA. Rarely 3 might be useful.

abbrev

Should the vertex names be abbreviated? By default these are of the form factor.level but if abbrev = TRUE they are just level which will suffice if the factors have distinct levels.

Value

• An object of class "mca", with components
• rs
  The coordinates of the rows, in nf dimensions.
• cs
  The coordinates of the column vertices, one for each level of each factor.
• fs
  Weights for each row, used to interpolate additional factors in predict.mca.
• p
  The number of factors
• d
  The singular values for the nf dimensions.
• call
  The matched call.

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

See Also

predict.mca, plot.mca, corresp

Examples

farms.mca <- mca(farms, abbrev=TRUE)
farms.mca
plot(farms.mca)