pick.min.max

This function finds and returns the <code>k</code> smallest and <code>k</code> largest distances in a distance matrix or distance object,
and also provides pairs of objects these distances correspond to.
The code is adapted from 
<a href="http://people.stat.sc.edu/Hitchcock/chapter1_R_examples.txt">http://people.stat.sc.edu/Hitchcock/chapter1_R_examples.txt</a>.

Contains the functions for testing the spatial patterns (of segregation, spatial symmetry,
association, disease clustering, species correspondence, and reflexivity) based on nearest neighbor relations,
especially using contingency tables such as
nearest neighbor contingency tables (Ceyhan (2010) <doi:10.1007/s10651-008-0104-x> and
Ceyhan (2017) <doi:10.1016/j.jkss.2016.10.002> and references therein),
nearest neighbor symmetry contingency tables (Ceyhan (2014) <doi:10.1155/2014/698296>),
species correspondence contingency tables and reflexivity contingency tables (Ceyhan (2018)
<doi:10.2436/20.8080.02.72> for two (or higher) dimensional data.
The package also contains functions for generating patterns of segregation, association,
uniformity in a multi-class setting (Ceyhan (2014) <doi:10.1007/s00477-013-0824-9>),
and various non-random labeling patterns for disease clustering
in two dimensional cases (Ceyhan (2014)
<doi:10.1002/sim.6053>), and for visualization of all these patterns
for the two dimensional data.
The tests are usually (asymptotic) normal z-tests or chi-square tests.

Elvan Ceyhan

nnspat

Nearest Neighbor Methods for Spatial Patterns

pick.min.max function

<dl><dt>ds</dt>
<dd>A distance matrix or a distance object</dd>
<dt>k</dt>
<dd>A positive integer representing the number of (min and max) distances to be presented, default is \(k=1\)</dd></dl>

Arguments

Author

This function finds and returns the <code>k</code> smallest and <code>k</code> largest distances in a distance matrix or distance object,
and also provides pairs of objects these distances correspond to.
The code is adapted from 
<a href='http://people.stat.sc.edu/Hitchcock/chapter1_R_examples.txt'>http://people.stat.sc.edu/Hitchcock/chapter1_R_examples.txt</a>.

Smallest and Largest Distances in a Distance Matrix — pick.min.max

<dl>

<dt>ds</dt>
<dd>A distance matrix or a distance object</dd>


<dt>k</dt>
<dd>A positive integer representing the number of (min and max) distances to be presented, default is \(k=1\)</dd>

</dl>

pick.min.max: Smallest and Largest Distances in a Distance Matrix

Description

Usage

Value

Arguments

Author

See Also

Examples