mca

From MASS v7.3-18 by Brian Ripley

Computes a multiple correspondence analysis of a set of factors.

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

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.

An object of class "mca", with components
rsThe coordinates of the rows, in nf dimensions.
csThe coordinates of the column vertices, one for each level of each factor.
fsWeights for each row, used to interpolate additional factors in predict.mca.
pThe number of factors
dThe singular values for the nf dimensions.
callThe matched call.

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

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

Documentation reproduced from package MASS, version 7.3-18, License: GPL-2 | GPL-3

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