Multiple Correspondence Analysis
Computes a multiple correspondence analysis of a set of factors.
mca(df, nf = 2, abbrev = FALSE)
- A data frame containing only factors
- The number of dimensions for the MCA. Rarely 3 might be useful.
- Should the vertex names be abbreviated? By default these are of the
abbrev = TRUEthey are just
levelwhich will suffice if the factors have distinct levels.
- An object of class
"mca", with components
rs The coordinates of the rows, in
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
p The number of factors d The singular values for the
call The matched call.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
farms.mca <- mca(farms, abbrev=TRUE) farms.mca plot(farms.mca)
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