Multiple Correspondence Analysis

DESCRIPTION:

Computes a multiple correspondence analysis of a set of factors.

USAGE:

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

REQUIRED ARGUMENTS:

df
A data frame containing only factors

OPTIONAL ARGUMENTS:

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=T 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.

SEE ALSO:

, ,

EXAMPLES:

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