Description Usage Format Details Source Examples

The `caterpillar`

dataset is extracted from a
1973 study on pine processionary caterpillars.
The response variable is the
log transform of the number of nests per unit.
There are *p=8* potential explanatory variables
and *n=33* areas.

1 |

A data frame with 33 observations on the following 9 variables.

`x1`

altitude (in meters)

`x2`

slope (in degrees)

`x3`

number of pine trees in the area

`x4`

height (in meters) of the tree sampled at the center of the area

`x5`

orientation of the area (from 1 if southbound to 2 otherwise)

`x6`

height (in meters) of the dominant tree

`x7`

number of vegetation strata

`x8`

mix settlement index (from 1 if not mixed to 2 if mixed)

`y`

logarithmic transform of the average number of nests of caterpillars per tree

This dataset is used in Chapter 3 on linear regression. It assesses the
influence of some forest settlement characteristics on the development of
caterpillar colonies. It was first published and studied in
Tomassone et al. (1993). The response variable is the
logarithmic transform of the average number of nests of caterpillars per tree
in an area of 500 square meters (which corresponds to the last column in
`caterpillar`

). There are *p=8* potential explanatory variables
defined on *n=33* areas.

Tomassone, R., Dervin, C., and Masson, J.P. (1993)
*Biometrie: modelisation de phenomenes biologiques*.
Dunod, Paris.

1 2 |

```
Loading required package: MASS
Loading required package: mnormt
Loading required package: gplots
Attaching package: 'gplots'
The following object is masked from 'package:stats':
lowess
Loading required package: combinat
Attaching package: 'combinat'
The following object is masked from 'package:utils':
combn
x1 x2 x3 x4 x5
Min. :1075 Min. :15.00 Min. : 0.00 Min. :2.400 Min. :1.100
1st Qu.:1228 1st Qu.:24.00 1st Qu.: 4.00 1st Qu.:3.700 1st Qu.:1.600
Median :1309 Median :28.00 Median : 8.00 Median :4.400 Median :1.700
Mean :1315 Mean :29.03 Mean :11.45 Mean :4.452 Mean :1.658
3rd Qu.:1396 3rd Qu.:34.00 3rd Qu.:18.00 3rd Qu.:5.300 3rd Qu.:1.800
Max. :1575 Max. :46.00 Max. :32.00 Max. :6.500 Max. :1.900
x6 x7 x8 y
Min. : 3.600 Min. :1.100 Min. :1.300 Min. :0.0300
1st Qu.: 5.900 1st Qu.:1.500 1st Qu.:1.600 1st Qu.:0.1800
Median : 7.200 Median :2.000 Median :1.800 Median :0.6700
Mean : 7.539 Mean :1.982 Mean :1.752 Mean :0.8112
3rd Qu.: 9.100 3rd Qu.:2.500 3rd Qu.:2.000 3rd Qu.:1.1300
Max. :13.700 Max. :2.900 Max. :2.000 Max. :3.0000
```

bayess documentation built on May 29, 2017, 9:39 p.m.

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