wafer

A full factorial experiment with four two-level predictors.

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

wafer function

A data frame with 16 observations on the following 5 variables.<dl>
<dt>x1</dt>
<dd>a factor with levels <code>-</code> <code>+</code></dd>
 <dt>x2</dt>
<dd>a
factor with levels <code>-</code> <code>+</code></dd>
 <dt>x3</dt>
<dd>a factor with levels
<code>-</code> <code>+</code></dd>
 <dt>x4</dt>
<dd>a factor with levels <code>-</code> <code>+</code></dd><dt>resist</dt>
<dd>Resistivity of the wafer</dd>
 
</dl>

Format

resitivity of wafer in semiconductor experiment — wafer

A data frame with 16 observations on the following 5 variables.<dl>
<dt>x1</dt>
<dd>a factor with levels <code>-</code> <code>+</code></dd>
 <dt>x2</dt>
<dd>a
factor with levels <code>-</code> <code>+</code></dd>
 <dt>x3</dt>
<dd>a factor with levels
<code>-</code> <code>+</code></dd>
 <dt>x4</dt>
<dd>a factor with levels <code>-</code> <code>+</code></dd>

<dt>resist</dt>
<dd>Resistivity of the wafer</dd>
 
</dl>

wafer: resitivity of wafer in semiconductor experiment

Description

Arguments

Format