data6

Factorial in randomized block design

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

data6 function

A data frame with 16 observations on the following 4 variables.<dl>
 <dt><code>factor1</code></dt>
<dd>a numeric vector</dd> <dt><code>factor2</code></dt>
<dd>a numeric vector</dd> <dt><code>block</code></dt>
<dd>a numeric vector</dd> <dt><code>yield</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

data6: Pimentel Gomes and Garcia (2002): page 127 — data6

A data frame with 16 observations on the following 4 variables.<dl>
 <dt><code>factor1</code></dt>
<dd>a numeric vector</dd>

 <dt><code>factor2</code></dt>
<dd>a numeric vector</dd>

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

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

 
</dl>

data6: data6: Pimentel Gomes and Garcia (2002): page 127

Description

Usage

Arguments

Format

References

Examples