mca(df, nf=2, abbrev=F)
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=T they are just "level" which will
suffice if the factors have distinct levels.
|
"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. |
predict.mca
, plot.mca
, corresp
data(farms) farms.mca <- mca(farms, abbrev=T) farms.mca plot(farms.mca)