diallelMET

Multi-environment half-diallel dataset with six parentals, in five blocks and ten environments; the dataset is factitious and was obtained by Monte Carlo simulation.

datasets

Several service functions to be used to analyse datasets obtained from diallel experiments within the frame of linear models in R, as described in Onofri et al (2020) <DOI:10.1007/s00122-020-03716-8>.

Andrea Onofri

lmDiallel

Linear Fixed/Mixed Effects Models for Diallel Crosses

Niccolo Terzaroli

diallelMET function

A data.frame with 1050 observations on the following 5 variables.<dl>
 <dt><code>Env</code></dt>
<dd>environment, a factor with 10 levels</dd> <dt><code>Block</code></dt>
<dd>block, a factor with 5 levels</dd> <dt><code>Par1</code></dt>
<dd>male parent, a factor with 6 levels</dd> <dt><code>Par2</code></dt>
<dd>female parent, a factor with 6 levels</dd> <dt><code>Yield</code></dt>
<dd>yield, a numeric vector</dd> 
</dl>

Format

Andrea Onofri, Niccolo' Terzaroli, Luigi Russi

Author

Factitious dataset for Diallel analysis — diallelMET

A data.frame with 1050 observations on the following 5 variables.<dl>
 <dt><code>Env</code></dt>
<dd>environment, a factor with 10 levels</dd>

 <dt><code>Block</code></dt>
<dd>block, a factor with 5 levels</dd>

 <dt><code>Par1</code></dt>
<dd>male parent, a factor with 6 levels</dd>

 <dt><code>Par2</code></dt>
<dd>female parent, a factor with 6 levels</dd>

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

 
</dl>

diallelMET: Factitious dataset for Diallel analysis

Description

Usage

Arguments

Format

Author

References

Examples