# Poison data

### Description

The data give the survival times (in hours) in a 3 x 4 factorial experiment, the factors being (a) three poisons and (b) four treatments. Each combination of the two factors is used for four animals. The allocation to animals is completely randomized.

### Usage

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### Format

A data frame with 48 observations on the following 3 variables.

`Poison`

type of poison (1, 2, or 3)

`Treatment`

manner of treatment (1, 2, 3, or 4)

`Time`

time until death (hours)

### Source

These data are also available from OzDASL, the Australian Data and Story Library (http://www.statsci.org). (Note: The time measurements of the data at OzDASL are in units of tens of hours.)

### References

Box, G. E. P., and Cox, D. R. (1964). An analysis of transformations (with Discussion). J. R. Statist. Soc. B, 26, 211-252.

Aitkin, M. (1987). Modelling variance heterogeneity in normal regression using GLIM. Appl. Statist., 36, 332-339.

Smyth, G. K., and Verbyla, A. P. (1999). Adjusted likelihood methods for modelling dispersion in generalized linear models. Environmetrics 10, 696-709. http://www.statsci.org/smyth/pubs/ties98tr.html.

### Examples

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