print.Clusters

Prints the <code>call</code> of the object of class '<code>Clusters</code>'
and also the <code>type</code> (or description) of the pattern).

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

print.Clusters function

<dl><dt>x</dt>
<dd>A <code>Clusters</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments for the S3 method '<code>print</code>'.</dd></dl>

Arguments

Print a Clusters object — print.Clusters

<dl>

<dt>x</dt>
<dd>A <code>Clusters</code> object.</dd>


<dt>...</dt>
<dd>Additional arguments for the S3 method '<code>print</code>'.</dd>

</dl>

print.Clusters: Print a `Clusters` object

Description

Usage

Value

Arguments

See Also

Examples