orob2

A 2 x 2 factorial experiment comparing 2 types of seed and 2 root extracts (Crowder, 1978, Table 3). There are 5 or 6 replicates in each of the 4 treatment groups, and each replicate comprises a number of seeds varying between 4 and 81. The response variable is the proportion of seeds germinating in each replicate.

datasets

Provides functions to analyse overdispersed
counts or proportions.  These functions should be considered as
complements to more sophisticated methods such as generalized
estimating equations (GEE) or generalized linear mixed effect
models (GLMM). aods3 is an S3 re-implementation of the
deprecated S4 package aod.

Renaud Lancelot

aods3

Analysis of Overdispersed Data using S3 Methods

orob2 function

A data frame with 21 observations on the following 4 variables.<dl>
 <dt>seed</dt>
<dd>a factor with 2 levels: <code>O73</code> and <code>O75</code>.</dd> <dt>root</dt>
<dd>a factor with 2 levels <code>BEAN</code> and <code>CUCUMBER</code>.</dd> <dt>n</dt>
<dd>a numeric vector: the number of seeds exposed to germination.</dd> <dt>m</dt>
<dd>a numeric vector: the number of seeds which actually germinated.</dd> 
</dl>

Format

Germination Data — orob2

A data frame with 21 observations on the following 4 variables.<dl>
 <dt>seed</dt>
<dd>a factor with 2 levels: <code>O73</code> and <code>O75</code>.</dd>

 <dt>root</dt>
<dd>a factor with 2 levels <code>BEAN</code> and <code>CUCUMBER</code>.</dd>

 <dt>n</dt>
<dd>a numeric vector: the number of seeds exposed to germination.</dd>

 <dt>m</dt>
<dd>a numeric vector: the number of seeds which actually germinated.</dd>

 
</dl>

orob2: Germination Data

Description

Usage

Arguments

Format

References