poisons

The <code>poisons</code> data frame has 48 rows and 3 columns.
The data form a 3x4 factorial experiment, the factors being three poisons
and four treatments. Each combination of the two factors was used for
four animals, the allocation to animals having been completely randomized.

datasets

Functions and datasets for bootstrapping from the
book "Bootstrap Methods and Their Application" by A. C. Davison and
D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.

Brian Ripley

boot

Bootstrap Functions (Originally by Angelo Canty for S)

Angelo Canty

poisons function

This data frame contains the following columns:<dl>
<dt><code>time</code></dt>
<dd>The survival time of the animal in units of 10 hours.</dd><dt><code>poison</code></dt>
<dd>A factor with levels <code>1</code>, <code>2</code> and <code>3</code> giving the type of poison used.</dd><dt><code>treat</code></dt>
<dd>A factor with levels <code>A</code>, <code>B</code>, <code>C</code> and <code>D</code> giving the treatment.</dd></dl>

Format

Animal Survival Times — poisons

This data frame contains the following columns:<dl>
<dt><code>time</code></dt>
<dd>The survival time of the animal in units of 10 hours.</dd>

<dt><code>poison</code></dt>
<dd>A factor with levels <code>1</code>, <code>2</code> and <code>3</code> giving the type of poison used.</dd>

<dt><code>treat</code></dt>
<dd>A factor with levels <code>A</code>, <code>B</code>, <code>C</code> and <code>D</code> giving the treatment.</dd>

</dl>

poisons: Animal Survival Times

Description

Usage

Arguments

Format

References