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Computes a multiple correspondence analysis of a set of factors.
mca(df, nf = 2, abbrev = FALSE)
An object of class "mca", with components
"mca"
The coordinates of the rows, in nf dimensions.
nf
The coordinates of the column vertices, one for each level of each factor.
Weights for each row, used to interpolate additional factors in predict.mca.
predict.mca
The number of factors
The singular values for the nf dimensions.
The matched call.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
predict.mca, plot.mca, corresp
plot.mca
corresp
farms.mca <- mca(farms, abbrev=TRUE) farms.mca plot(farms.mca)
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