onion_bacterial_blight

<p>Assessments of bacterial blight of onion at two dates. The experimental plot
was sown with naturally X. axonopodis pv. allii-contaminated onion (A. cepa
L. cv. Chateau-vieux) seed lot, with a contamination rate of about 0.04%.</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

onion_bacterial_blight function

<p>A data frame with 1134 rows and 5 variables:</p><table><tr><td>
    [, 1:2] </td>
<td> x,y </td>
<td> Grid spatial coordinates. </td>
</tr><tr><td>
    [, 3]   </td>
<td> t   </td>
<td> Date of disease assessments. </td>
</tr><tr><td>
    [, 4]   </td>
<td> i   </td>
<td> Disease incidence. 0: Healthy, 1: Diseased. </td>
</tr><tr><td>
    [, 5]   </td>
<td> n   </td>
<td> Sampling unit size. n = 1 means that the sampling
                          unit size is the plant. </td>
</tr></table>

onion_bacterial_blight: Incidence of bacterial blight of onion.

Description

Usage

Arguments

Format

[, 1:2]	x,y	Grid spatial coordinates.
[, 3]	t	Date of disease assessments.
[, 4]	i	Disease incidence. 0: Healthy, 1: Diseased.
[, 5]	n	Sampling unit size. n = 1 means that the sampling unit size is the plant.