chem

Data from the Chemical process experiment in chapter 3 of Design and Analysis
of Experiments with R

datasets

Contains Data frames and functions used in the book "Design and Analysis of Experiments with R", Lawson(2015) ISBN-13:978-1-4398-6813-3.

John Lawson

daewr

Design and Analysis of Experiments with R

Gerhard Krennrich

Ruben Amoros

chem function

A data frame with 16 observations on the following 4 variables.<dl>
 <dt><code>A</code></dt>
<dd>a numeric vector containing the coded (-1,1) levels of factor A</dd>	<dt><code>B</code></dt>
<dd>a numeric vector containing the coded (-1,1) levels of factor B</dd>	<dt><code>C</code></dt>
<dd>a numeric vector containing the coded (-1,1) levels of factor C</dd>	<dt><code>D</code></dt>
<dd>a numeric vector containing the coded (-1,1) levels of factor D</dd> <dt><code>y</code></dt>
<dd>a numeric vector containing the response</dd> 
</dl>

Format

Chemical process experiment data from Chapter 3 — chem

A data frame with 16 observations on the following 4 variables.<dl>
 <dt><code>A</code></dt>
<dd>a numeric vector containing the coded (-1,1) levels of factor A</dd>

	<dt><code>B</code></dt>
<dd>a numeric vector containing the coded (-1,1) levels of factor B</dd>

	<dt><code>C</code></dt>
<dd>a numeric vector containing the coded (-1,1) levels of factor C</dd>

	<dt><code>D</code></dt>
<dd>a numeric vector containing the coded (-1,1) levels of factor D</dd>

 <dt><code>y</code></dt>
<dd>a numeric vector containing the response</dd>

 
</dl>

chem: Chemical process experiment data from Chapter 3

Description

Usage

Arguments

Format

Examples