# mca

From MASS v7.3-16
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 if`abbrev = 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)
```

*Documentation reproduced from package MASS, version 7.3-16, License: GPL-2 | GPL-3*

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