data10

Completely randomized design with a covariate.The effect of three diets on daily gain of steers was investigated. The design was
a completely randomized design. Weight at the beginning of the experiment (initial weight)
was recorded, but not used in the assignment of animals to diet.

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

data10 function

A data frame with 15 observations on the following 4 variables.<dl>
 <dt><code>Diets</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code></dd> <dt><code>Initial_weight</code></dt>
<dd>a numeric vector</dd> <dt><code>Repetitions</code></dt>
<dd>a numeric vector</dd> <dt><code>Gain</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

data10: Kaps and Lamberson (2009): page 395 — data10

A data frame with 15 observations on the following 4 variables.<dl>
 <dt><code>Diets</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code></dd>

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

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

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

 
</dl>

data10: data10: Kaps and Lamberson (2009): page 395

Description

Usage

Arguments

Format

References

Examples