haynes

Published data. Haynes. Mean area under the disease progress curve (AUDPC) for each of 16 potato clones evaluated at eight sites across the United States in 1996

datasets

Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.

Felipe Mendiburu

agricolae

Statistical Procedures for Agricultural Research

haynes function

A data frame with 16 observations on the following 9 variables.<dl>
 <dt><code>clone</code></dt>
<dd>a factor with levels <code>A84118-3</code> <code>AO80432-1</code> <code>AO84275-3</code> <code>AWN86514-2</code> <code>B0692-4</code> <code>B0718-3</code> <code>B0749-2F</code> <code>B0767-2</code> <code>Bertita</code> <code>Bzura</code> <code>C0083008-1</code> <code>Elba</code> <code>Greta</code> <code>Krantz</code> <code>Libertas</code> <code>Stobrawa</code></dd> <dt><code>FL</code></dt>
<dd>a numeric vector</dd> <dt><code>MI</code></dt>
<dd>a numeric vector</dd> <dt><code>ME</code></dt>
<dd>a numeric vector</dd> <dt><code>MN</code></dt>
<dd>a numeric vector</dd> <dt><code>ND</code></dt>
<dd>a numeric vector</dd> <dt><code>NY</code></dt>
<dd>a numeric vector</dd> <dt><code>PA</code></dt>
<dd>a numeric vector</dd> <dt><code>WI</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Data of AUDPC for nonparametrical stability analysis — haynes

A data frame with 16 observations on the following 9 variables.<dl>
 <dt><code>clone</code></dt>
<dd>a factor with levels <code>A84118-3</code> <code>AO80432-1</code> <code>AO84275-3</code> <code>AWN86514-2</code> <code>B0692-4</code> <code>B0718-3</code> <code>B0749-2F</code> <code>B0767-2</code> <code>Bertita</code> <code>Bzura</code> <code>C0083008-1</code> <code>Elba</code> <code>Greta</code> <code>Krantz</code> <code>Libertas</code> <code>Stobrawa</code></dd>

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

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

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

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

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

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

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

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

 
</dl>

haynes: Data of AUDPC for nonparametrical stability analysis

Description

Usage

Arguments

Format

References

Examples