tobacco_viruses

<p>Experimental plot consisted of 75 sampling units with 40 tobacco plants in
each one.</p>

datasets

A toolbox to make it easy to analyze plant disease epidemics. It
provides a common framework for plant disease intensity data recorded over
time and/or space. Implemented statistical methods are currently mainly
focused on spatial pattern analysis (e.g., aggregation indices, Taylor and
binary power laws, distribution fitting, SADIE and mapcomp methods). See
Madden LV, Hughes G, van den Bosch F (2007, ISBN: 978-089054-354-2) for
further information on these methods. Several data sets that were mainly
published in plant disease epidemiology literature are also included in this
package.

Christophe Gigot

epiphy

Analysis of Plant Disease Epidemics

tobacco_viruses function

<p>A data frame with 75 rows and 2 variables:</p><table><tr><td>
    [, 1] </td>
<td> i </td>
<td> Number of diseased plants (from 0 to 40). </td>
</tr><tr><td>
    [, 2] </td>
<td> n </td>
<td> Sampling unit size. Here, n = 40 plants per sampling
                      unit. </td>
</tr></table>

tobacco_viruses: Incidence of tobacco plants infected with viruses.

Description

Usage

Arguments

Format

[, 1]	i	Number of diseased plants (from 0 to 40).
[, 2]	n	Sampling unit size. Here, n = 40 plants per sampling unit.