Description Usage Arguments Details Value Author(s) References See Also Examples

Performs Multiple Factor Analysis, drawing on the work of Escoffier and Pages (1994). It allows the use of MCA variants (e.g. specific MCA or class specific MCA) as inputs.

1 |

`l_mca` |
a list of objects of class |

`ncp` |
number of dimensions kept in the results (default is 5) |

`compute.rv` |
whether RV coefficients should be computed or not (default is FALSE, which makes the function execute faster) |

This function binds individual coordinates from every MCA in `l_mca`

argument, weights them by the first eigenvalue,
and the resulting data frame is used as input for Principal Component Analysis (PCA).

Returns an object of class `'multiMCA'`

, i.e. a list:

`eig` |
a list of numeric vector for eigenvalues, percentage of variance and cumulative percentage of variance |

`var` |
a list of matrices with results for input MCAs components (coordinates, correlation between variables and axes, square cosine, contributions) |

`ind` |
a list of matrices with results for individuals (coordinates, square cosine, contributions) |

`call` |
a list with informations about input data |

`VAR` |
a list of matrices with results for categories and variables in the input MCAs (coordinates, square cosine, test-values, variances) |

`my.mca` |
lists the content of the objects in |

`RV` |
a matrix of RV coefficients |

Nicolas Robette

Escofier, B. and Pages, J. (1994) "Multiple Factor Analysis (AFMULT package)". *Computational Statistics and Data Analysis*, 18, 121-140.

`plot.multiMCA`

, `varsup`

, `speMCA`

, `csMCA`

, `MFA`

, `PCA`

1 2 3 4 5 6 7 8 9 10 | ```
## Performs a specific MCA on music variables of 'Taste' example data set,
## another one on movie variables of 'Taste' example data set,
## and then a Multiple Factor Analysis.
data(Taste)
getindexcat(Taste[,1:5])
mca1 <- speMCA(Taste[,1:5],excl=c(3,6,9,12,15))
getindexcat(Taste[,6:11])
mca2 <- speMCA(Taste[,6:11],excl=c(3,6,9,12,15,18))
mfa <- multiMCA(list(mca1,mca2))
plot.multiMCA(mfa)
``` |

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