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:

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

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

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

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

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

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

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

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

  10. depart: district, a factor with levels:

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 1.7-4 Index]