data4

Two latin squares design for test four different treatments on hay intake of fattening steers

Perform analysis of variance and other important complementary
analyses.  The functions are easy to use.  Performs analysis in various
designs, with balanced and unbalanced data.

Emmanuel Arnhold

easyanova

Analysis of Variance and Other Important Complementary Analyses

data4 function

A data frame with 32 observations on the following 5 variables.<dl>
 <dt><code>diet</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code> <code>D</code></dd> <dt><code>square</code></dt>
<dd>a numeric vector</dd> <dt><code>steer</code></dt>
<dd>a numeric vector</dd> <dt><code>period</code></dt>
<dd>a numeric vector</dd> <dt><code>response</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

data4: Kaps and Lamberson (2009): page 349 — data4

A data frame with 32 observations on the following 5 variables.<dl>
 <dt><code>diet</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code> <code>D</code></dd>

 <dt><code>square</code></dt>
<dd>a numeric vector</dd>

 <dt><code>steer</code></dt>
<dd>a numeric vector</dd>

 <dt><code>period</code></dt>
<dd>a numeric vector</dd>

 <dt><code>response</code></dt>
<dd>a numeric vector</dd>

 
</dl>

data4: data4: Kaps and Lamberson (2009): page 349

Description

Usage

Arguments

Format

References

Examples