Multiple Correspondence Analysis

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.

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

[Package MASS version 7.3-51.4 Index]