data16

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

data16 function

A data frame with 36 observations on the following 4 variables.<dl>
 <dt><code>treatment</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code></dd> <dt><code>period</code></dt>
<dd>a numeric vector</dd> <dt><code>animal</code></dt>
<dd>a numeric vector</dd> <dt><code>gain</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

data16: Sampaio (2010): page164 — data16

A data frame with 36 observations on the following 4 variables.<dl>
 <dt><code>treatment</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code></dd>

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

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

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

 
</dl>

data16: data16: Sampaio (2010): page164

Description

Usage

Arguments

Format

References

Examples