abrasion

The <code>composite</code> data frame has 16 rows and 4 columns.
 Four materials were fed into a wear testing machine
 and the amount of wear recorded. Four samples could be processed
 at the same time and the position of these samples may be important.
 A Latin square design was used.

datasets

Books are "Practical Regression and ANOVA in R" on CRAN, "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.

Julian Faraway

faraway

Functions and Datasets for Books by Julian Faraway

abrasion function

This data frame contains the following columns:<dl> <dt><code>run</code></dt>
<dd>The run number 1-4</dd>
 <dt><code>position</code></dt>
<dd>The position number 1-4</dd>
 <dt><code>material</code></dt>
<dd>The material A-D</dd>
 <dt><code>wear</code></dt>
<dd>The wear measured loss of weight in 0.1mm over testing period</dd></dl>

Format

Wear on materials according to type, run and position — abrasion

This data frame contains the following columns:<dl>

 <dt><code>run</code></dt>
<dd>The run number 1-4</dd>


 <dt><code>position</code></dt>
<dd>The position number 1-4</dd>


 <dt><code>material</code></dt>
<dd>The material A-D</dd>


 <dt><code>wear</code></dt>
<dd>The wear measured loss of weight in 0.1mm over testing period</dd>

</dl>

abrasion: Wear on materials according to type, run and position

Description

Usage

Arguments

Format