bone

Neter et al. (1996) described an experiment in which researchers investigated the confounding effect of gender and bone development on growth hormone therapy for prepubescent children. Gender had two levels: "M" and "F". 
The bone development factor had three levels indicating the severity of growth impediment before therapy: 1 = severely depressed, 2 = moderately depressed, and 3 = mildly depressed. 
At the start of the experiment 3 children were assigned to each of the six treatment combinations. However 4 of the children were unable to complete the experiment, resulting in an unbalanced design.

datasets

Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R.  CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.

Ken Aho

asbio

A Collection of Statistical Tools for Biologists

bone function

A data frame with 14 observations on the following 3 variables.<dl>
 <dt><code>gender</code></dt>
<dd>A factor with levels <code>F</code> <code>M</code></dd> <dt><code>devel</code></dt>
<dd>A factor with levels <code>1</code> <code>2</code> <code>3</code></dd> <dt><code>growth</code></dt>
<dd>A numeric vector descibing the growth difference before and after hormone therapy</dd> 
</dl>

Format

Bone development data — bone

A data frame with 14 observations on the following 3 variables.<dl>
 <dt><code>gender</code></dt>
<dd>A factor with levels <code>F</code> <code>M</code></dd>

 <dt><code>devel</code></dt>
<dd>A factor with levels <code>1</code> <code>2</code> <code>3</code></dd>

 <dt><code>growth</code></dt>
<dd>A numeric vector descibing the growth difference before and after hormone therapy</dd>

 
</dl>

bone: Bone development data

Description

Usage

Arguments

Format