data3

Latin square 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

data3 function

A data frame with 16 observations on the following 4 variables.<dl class="dl-horizontal">
 <dt><code>treatment</code></dt><dd>a factor with levels <code>A</code> <code>B</code> <code>C</code> <code>D</code></dd>
 <dt><code>period</code></dt><dd>a factor with levels <code>p1</code> <code>p2</code> <code>p3</code> <code>p4</code></dd>
 <dt><code>steer</code></dt><dd>a factor with levels <code>a1</code> <code>a2</code> <code>a3</code> <code>a4</code></dd>
 <dt><code>response</code></dt><dd>a numeric vector</dd>
 </dl>

Format

data3: Kaps and Lamberson (2009): page 347 — data3

A data frame with 16 observations on the following 4 variables.<dl class='dl-horizontal'>
 <dt><code>treatment</code></dt><dd>a factor with levels <code>A</code> <code>B</code> <code>C</code> <code>D</code></dd>
 <dt><code>period</code></dt><dd>a factor with levels <code>p1</code> <code>p2</code> <code>p3</code> <code>p4</code></dd>
 <dt><code>steer</code></dt><dd>a factor with levels <code>a1</code> <code>a2</code> <code>a3</code> <code>a4</code></dd>
 <dt><code>response</code></dt><dd>a numeric vector</dd>
 </dl>

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data3: data3: Kaps and Lamberson (2009): page 347

Description

Usage

Arguments

Format

References

Examples