| mca {MASS} | R Documentation |
Computes a multiple correspondence analysis of a set of factors.
mca(df, nf = 2, abbrev = FALSE)
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.
|
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. |
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
predict.mca, plot.mca, corresp
farms.mca <- mca(farms, abbrev=TRUE) farms.mca plot(farms.mca)