soup

Data from the dry mix soup experiment in chapter 6 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

soup function

A data frame with 16 observations on the following 6 variables.<dl>
 <dt><code>A</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd> <dt><code>B</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>	<dt><code>C</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>	<dt><code>D</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>	<dt><code>E</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>
	
 <dt><code>y</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

dry mix soup experiment — soup

A data frame with 16 observations on the following 6 variables.<dl>
 <dt><code>A</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>

 <dt><code>B</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>

	<dt><code>C</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>

	<dt><code>D</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>

	<dt><code>E</code></dt>
<dd>a factor with levels <code>-1</code> <code>1</code></dd>
	
 <dt><code>y</code></dt>
<dd>a numeric vector</dd>

 
</dl>

soup: dry mix soup experiment

Description

Usage

Arguments

Format

Examples