ours {ade4} | R Documentation

## A table of Qualitative Variables

### Description

The `ours` (bears) data frame has 38 rows, areas of the "Inventaire National Forestier", and 10 columns.

### Usage

    data(ours)

### Format

This data frame contains the following columns:

1. altit: importance of the altitudinal area inhabited by bears, a factor with levels:

   - `1` less than 50% of the area between 800 and 2000 meters

   - `2` between 50 and 70%

   - `3` more than 70%

2. deniv: importance of the average variation in level by square of 50 km2, a factor with levels:

   - `1` less than 700m

   - `2` between 700 and 900 m

   - `3` more than 900 m

3. cloiso: partitioning of the massif, a factor with levels:

   - `1` a great valley or a ridge isolates at least a quarter of the massif

   - `2` less than a quarter of the massif is isolated

   - `3` the massif has no split

4. domain: importance of the national forests on contact with the massif, a factor with levels:

   - `1` less than 400 km2

   - `2` between 400 and 1000 km2

   - `3` more than 1000 km2

5. boise: rate of afforestation, a factor with levels:

   - `1` less than 30%

   - `2` between 30 and 50%

   - `3` more than 50%

6. hetra: importance of plantations and mixed forests, a factor with levels:

   - `1` less than 5%

   - `2` between 5 and 10%

   - `3` more than 10% of the massif

7. favor: importance of favorable forests, plantations, mixed forests, fir plantations, a factor with levels:

   - `1` less than 5%

   - `2` between 5 and 10%

   - `3` more than 10% of the massif

8. inexp: importance of unworked forests, a factor with levels:

   - `1` less than 4%

   - `2` between 4 and 8%

   - `3` more than 8% of the total area

9. citat: presence of the bear before its disappearance, a factor with levels:

   - `1` no quotation since 1840

   - `2` 1 to 3 quotations before 1900 and none after

   - `3` 4 quotations before 1900 and none after

   - `4` at least 4 quotations before 1900 and at least 1 quotation between 1900 and 1940

10. depart: district, a factor with levels:

    - `AHP` Alpes-de-Haute-Provence

    - `AM` Alpes-Maritimes

    - `D` Drôme

    - `HP` Hautes-Alpes

    - `HS` Haute-Savoie

    - `I` Isère

    - `S` Savoie

### Source

Erome, G. (1989) L'ours brun dans les Alpes françaises. Historique de sa disparition. Centre Ornithologique Rhône-Alpes, Villeurbanne. 120 p.

### Examples

    data(ours)
    if(adegraphicsLoaded()) {
      s1d.boxplot(dudi.acm(ours, scan = FALSE)$l1[, 1], ours)
    } else {
      boxplot(dudi.acm(ours, scan = FALSE))
    }

[Package ade4 version 1.7-13 Index]