pyrethrum_ray_blight

<p>An assessment of the incidence of ray blight disease of pyrethrum in 62
sampling units, containing 6 plants each.</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
Laurence V. Madden, Gareth Hughes, Franck van den Bosch (2007)
<doi:10.1094/9780890545058> 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

Adam H. Sparks

Katrin Leinweber

pyrethrum_ray_blight function

<p>A data frame with 62 rows and 2 variables:</p><table class="table">
<tr><td>[, 1]</td><td>i</td><td>Number of diseased plants (from 0 to 6).</td></tr>
<tr><td>[, 2]</td><td>n</td><td>Sampling unit size. Here, n = 6 plants per sampling
                      unit.</td></tr>
</table><p></p><p></p>

Format

Incidence of ray blight disease of pyrethrum. — pyrethrum_ray_blight

<p>A data frame with 62 rows and 2 variables:</p><table class='table'>
<tr><td>[, 1]</td><td>i</td><td>Number of diseased plants (from 0 to 6).</td></tr>
<tr><td>[, 2]</td><td>n</td><td>Sampling unit size. Here, n = 6 plants per sampling
                      unit.</td></tr>
</table>



pyrethrum_ray_blight: Incidence of ray blight disease of pyrethrum.

Description

Usage

Arguments

Format

[, 1]	i	Number of diseased plants (from 0 to 6).
[, 2]	n	Sampling unit size. Here, n = 6 plants per sampling unit.