data9

Factorial design to evaluate egg quality according to the lineage of chicken, packaging and storage time.

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

data9 function

A data frame with 120 observations on the following 5 variables.<dl>
 <dt><code>lineage</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code></dd> <dt><code>packing</code></dt>
<dd>a factor with levels <code>Ce</code> <code>Co</code> <code>S</code></dd> <dt><code>time</code></dt>
<dd>a numeric vector</dd> <dt><code>repetitions</code></dt>
<dd>a numeric vector</dd> <dt><code>response</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

data9: Sampaio (2010): page 67 — data9

A data frame with 120 observations on the following 5 variables.<dl>
 <dt><code>lineage</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code></dd>

 <dt><code>packing</code></dt>
<dd>a factor with levels <code>Ce</code> <code>Co</code> <code>S</code></dd>

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

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

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

 
</dl>

data9: data9: Sampaio (2010): page 67

Description

Usage

Arguments

Format

References

Examples