pneumo

The data for this example contains the number of coal miners classified by
radiological examination into one of three categories of
pneumonoultramicroscopicosilicovolcanoconiosis (known as pneumonoconiosis
for short) and by number of years spent working at the coal face divided
into eight categories.

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

pneumo function

A data frame with 24 observations on the following 3 variables.<dl>
<dt>Freq</dt>
<dd>number of miners</dd><dt>status</dt>
<dd>pneumoconiosis status - a factor with levels
<code>mild</code> <code>normal</code> <code>severe</code></dd>
 <dt>year</dt>
<dd>number of years
service (midpoint of interval)</dd>
 
</dl>

Format

Pneumonoconiosis in coal miners — pneumo

A data frame with 24 observations on the following 3 variables.<dl>
<dt>Freq</dt>
<dd>number of miners</dd>

<dt>status</dt>
<dd>pneumoconiosis status - a factor with levels
<code>mild</code> <code>normal</code> <code>severe</code></dd>
 <dt>year</dt>
<dd>number of years
service (midpoint of interval)</dd>
 
</dl>

pneumo: Pneumonoconiosis in coal miners

Description

Arguments

Format