This function is designed to point out the variables and the categories that are the most characteristic according
to each dimension obtained by a Factor Analysis.

1 | ```
dimdesc(res, axes = 1:3, proba = 0.05)
``` |

`res` |
an object of class PCA, MCA, CA, MFA or HMFA |

`axes` |
a vector with the dimensions to describe |

`proba` |
the significance threshold considered to characterized the dimension (by default 0.05) |

Returns a list including:

`quanti` |
the description of the dimensions by the quantitative variables. The variables are sorted. |

`quali` |
the description of the dimensions by the categorical variables |

Francois Husson Francois.Husson@agrocampus-ouest.fr

Husson, F., Le, S. and Pages, J. (2010). Exploratory Multivariate Analysis by Example Using R, *Chapman and Hall*.

`PCA`

, `CA`

, `MCA`

, `MFA`

, `HMFA`

,

Video showing how to use this function

1 2 3 |

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