threshold

This function transforms the current numeric vector or <code>intensity</code> data
set into a "simplified black and white image" of this same data set: every
value of disease intensity below and above a given threshold is given the
value 0 and 1, respectively.

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

threshold function

<dl><dt>data</dt>
<dd>A numeric vector or an <code>intensity</code> object.</dd>
<dt>value</dt>
<dd>All the intensity values lower or equal to this value are set
to 0. The other values are set to 1.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to other methods.</dd></dl>

Arguments

To go to higher level in the hierarchy. — threshold

<dl>

<dt>data</dt>
<dd>A numeric vector or an <code>intensity</code> object.</dd>


<dt>value</dt>
<dd>All the intensity values lower or equal to this value are set
to 0. The other values are set to 1.</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to other methods.</dd>

</dl>

threshold: To go to higher level in the hierarchy.

Description

Usage

Value

Arguments

Details

Examples