femsmoke

In 1972-74, a survey of one in six residents of Whickham, near Newcastle,
England was made. Twenty years later, this data recorded in a follow-up
study. Only women who are current smokers or who have never smoked are
included.

datasets

Books are "Linear Models with R" published 1st Ed. August 2004, 2nd Ed. July 2014 by CRC press, ISBN 9781439887332, and "Extending the Linear Model with R" published by CRC press in 1st Ed. December 2005 and 2nd Ed. March 2016, ISBN 9781584884248 and "Practical Regression and ANOVA in R" contributed documentation on CRAN (now very dated).

Julian Faraway

faraway

Functions and Datasets for Books by Julian Faraway

femsmoke function

A data frame with 28 observations on the following 4 variables.<dl>
<dt>y</dt>
<dd>observed count for given combination</dd>
 <dt>smoker</dt>
<dd>a
factor with levels <code>yes</code> <code>no</code></dd>
 <dt>dead</dt>
<dd>a factor with levels
<code>yes</code> <code>no</code></dd>
 <dt>age</dt>
<dd>a factor with agegroup levels <code>18-24</code>
<code>25-34</code> <code>35-44</code> <code>45-54</code> <code>55-64</code> <code>65-74</code> <code>75+</code></dd>
</dl>

Format

Mortality due to smoking according age group in women — femsmoke

A data frame with 28 observations on the following 4 variables.<dl>
<dt>y</dt>
<dd>observed count for given combination</dd>
 <dt>smoker</dt>
<dd>a
factor with levels <code>yes</code> <code>no</code></dd>
 <dt>dead</dt>
<dd>a factor with levels
<code>yes</code> <code>no</code></dd>
 <dt>age</dt>
<dd>a factor with agegroup levels <code>18-24</code>
<code>25-34</code> <code>35-44</code> <code>45-54</code> <code>55-64</code> <code>65-74</code> <code>75+</code></dd>


</dl>

femsmoke: Mortality due to smoking according age group in women

Description

Arguments

Format