data19

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

data19 function

A data frame with 32 observations on the following 5 variables.<dl>
 <dt><code>treatments</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code> <code>D</code></dd> <dt><code>squares</code></dt>
<dd>a factor with levels <code>1</code> <code>2</code></dd> <dt><code>rows</code></dt>
<dd>a factor with levels <code>1</code> <code>2</code> <code>3</code> <code>4</code></dd> <dt><code>columns</code></dt>
<dd>a factor with levels <code>1</code> <code>2</code> <code>3</code> <code>4</code></dd> <dt><code>response</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

data19: Sampaio (2010): page 155 — data19

A data frame with 32 observations on the following 5 variables.<dl>
 <dt><code>treatments</code></dt>
<dd>a factor with levels <code>A</code> <code>B</code> <code>C</code> <code>D</code></dd>

 <dt><code>squares</code></dt>
<dd>a factor with levels <code>1</code> <code>2</code></dd>

 <dt><code>rows</code></dt>
<dd>a factor with levels <code>1</code> <code>2</code> <code>3</code> <code>4</code></dd>

 <dt><code>columns</code></dt>
<dd>a factor with levels <code>1</code> <code>2</code> <code>3</code> <code>4</code></dd>

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

 
</dl>

data19: data19: Sampaio (2010): page 155

Description

Usage

Arguments

Format

References

Examples