mca
From MASS v7.347
by Brian Ripley
Computes a multiple correspondence analysis of a set of factors.
 Keywords
 multivariate, category
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
nf
dimensions.
predict.mca
.
nf
dimensions.
References
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
Examples
library(MASS)
farms.mca < mca(farms, abbrev=TRUE)
farms.mca
plot(farms.mca)
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