Multiple Correspondence Analysis
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.
|
Description
Computes a multiple correspondence analysis of a set of factors.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
predict.mca
, plot.mca
, corresp
Examples
data(farms)
farms.mca <- mca(farms, abbrev=TRUE)
farms.mca
plot(farms.mca)