mca
From MASS v7.3-18
by Brian Ripley
Multiple Correspondence Analysis
Computes a multiple correspondence analysis of a set of factors.
- Keywords
- multivariate, category
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 ifabbrev = TRUE
they are justlevel which will suffice if the factors have distinct levels.
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.
References
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
Examples
farms.mca <- mca(farms, abbrev=TRUE)
farms.mca
plot(farms.mca)
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