data8

Split-plot Design. Main Plots in Randomized Blocks. An experiment was conducted in order to investigate four different treatments of
pasture and two mineral supplements on milk yield. The total number of cows available was
24. The experiment was designed as a split-plot, with pasture treatments (factor A) assigned
to the main plots and mineral supplements (factor B) assigned to split-plots. The experiment
was replicated in three blocks.

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

data8 function

A data frame with 24 observations on the following 4 variables.<dl>
 <dt><code>pasture</code></dt>
<dd>a factor with levels <code>p1</code> <code>p2</code> <code>p3</code> <code>p4</code></dd> <dt><code>block</code></dt>
<dd>a numeric vector</dd> <dt><code>mineral</code></dt>
<dd>a factor with levels <code>m1</code> <code>m2</code></dd> <dt><code>milk</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

data8: Kaps and Lamberson (2009): page 386 — data8

A data frame with 24 observations on the following 4 variables.<dl>
 <dt><code>pasture</code></dt>
<dd>a factor with levels <code>p1</code> <code>p2</code> <code>p3</code> <code>p4</code></dd>

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

 <dt><code>mineral</code></dt>
<dd>a factor with levels <code>m1</code> <code>m2</code></dd>

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

 
</dl>

data8: data8: Kaps and Lamberson (2009): page 386

Description

Usage

Arguments

Format

References

Examples