sig_noc

<code>sig_noc</code> return the significant, non-overlapping
zones order from most significant to least significant.

Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, which were first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.

Joshua French

smerc

Statistical Methods for Regional Counts

Mohammad Meysami

sig_noc function

<dl><dt>tobs</dt>
<dd>The vector of observed test statistics for each zone</dd>
<dt>zones</dt>
<dd>A list of zones</dd>
<dt>pvalue</dt>
<dd>The p-value associated with each test statistic</dd>
<dt>alpha</dt>
<dd>The significance level of the test.</dd>
<dt>order_by</dt>
<dd>Either <code>'tobs'</code> or <code>'pvalue'</code>,
indicating the argument by which to order <code>zones</code>.</dd></dl>

Arguments

Return most significant, non-overlapping zones — sig_noc

<dl>

<dt>tobs</dt>
<dd>The vector of observed test statistics for each zone</dd>


<dt>zones</dt>
<dd>A list of zones</dd>


<dt>pvalue</dt>
<dd>The p-value associated with each test statistic</dd>


<dt>alpha</dt>
<dd>The significance level of the test.</dd>


<dt>order_by</dt>
<dd>Either <code>'tobs'</code> or <code>'pvalue'</code>,
indicating the argument by which to order <code>zones</code>.</dd>

</dl>

sig_noc: Return most significant, non-overlapping zones

Description

Usage

Value

Arguments

Examples