e.cancer

Breslow and Day (1980) studied the effect of age, tobacco, and 
alcohol on esophageal cancer rates at Ile-et-Vilaine, France. Data 
are altered slightly to make the design balanced, and to allow enough degrees 
of freedom to perform a fully factorial three way ANOVA.

datasets

Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R.  CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.

Ken Aho

asbio

A Collection of Statistical Tools for Biologists

e.cancer function

The dataset contains four variables:<dl>
 <dt>age grp.</dt>
<dd>age group, a factor with four levels: <code>"25-34", "35-44", "45-54", "55-64"</code>, and <code>"65-74"</code>.</dd> <dt>alcohol</dt>
<dd>alcohol consumed (g/day).</dd>
	
 <dt>tobacco</dt>
<dd>tobacco consumed (g/day).</dd>
	
 <dt>cases</dt>
<dd>number of esophageal cancer cases.</dd> 
</dl>

Format

Esophageal cancer data modified slightly to create a balanced three-way 
factorial design — e.cancer

The dataset contains four variables:<dl>
 <dt>age grp.</dt>
<dd>age group, a factor with four levels: <code>"25-34", "35-44", "45-54", "55-64"</code>, and <code>"65-74"</code>.</dd>

 <dt>alcohol</dt>
<dd>alcohol consumed (g/day).</dd>
	
 <dt>tobacco</dt>
<dd>tobacco consumed (g/day).</dd>
	
 <dt>cases</dt>
<dd>number of esophageal cancer cases.</dd>

 
</dl>

e.cancer: Esophageal cancer data modified slightly to create a balanced three-way factorial design

Description

Usage

Arguments

Format