mca | 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 |

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.

`predict.mca`

, `plot.mca`

, `corresp`

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

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