Computes a multiple correspondence analysis of a set of factors.
Usage
mca(df, nf = 2, abbrev = FALSE)
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.
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.
References
Venables, W. N. and Ripley, B. D. (2002)
Modern Applied Statistics with S. Fourth edition. Springer.