catdes {FactoMineR} | R Documentation |

## Categories description

### Description

Description of the categories of one factor by categorical variables and/or by quantitative variables

### Usage

`catdes(donnee,num.var,proba = 0.05, row.w = NULL, na.method="NA")`

### Arguments

`donnee` |
a data frame made up of at least one categorical variables and a set of quantitative variables and/or categorical variables |

`num.var` |
the indice of the variable to characterized |

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

`row.w` |
a vector of integers corresponding to an optional row weights (by default, a vector of 1 for uniform row weights) |

`na.method` |
a boolean that says how to manage missing values. If ; if na.method="NA" a new category is considered for the categorical variable; if na.method="na.omit" the missing values are deleted |

### Value

Returns a list including:

`test.chi` |
The categorical variables which characterized the factor are listed in ascending order (from the one which characterized the most
the factor to the one which significantly characterized with the proba |

`category` |
description of each category of the |

`quanti.var` |
the global description of the |

`quanti` |
the description of each category of the |

### Author(s)

Francois Husson francois.husson@institut-agro.fr

### References

Husson, F., Le, S. and Pages, J. (2010). Exploratory Multivariate Analysis by Example Using R, *Chapman and Hall*.
Lebart, L., Morineau, A. and Piron, M. (1995) Statistique exploratoire multidimensionnelle, *Dunod*.

### See Also

### Examples

```
data(wine)
catdes(wine, num.var=2)
```

*FactoMineR*version 2.11 Index]