print.summary.TriLines

Prints some information about the <code>object</code>

Contains the functions for construction and visualization of various families
of the proximity catch digraphs (PCDs), see (Ceyhan (2005) ISBN:978-3-639-19063-2),
for computing the graph invariants for testing the patterns of segregation and association against complete spatial randomness (CSR)
or uniformity in one, two and three dimensional cases.
The package also has tools for generating points from these spatial patterns.
The graph invariants used in testing spatial point data are the domination number (Ceyhan (2011)
<doi:10.1080/03610921003597211>) and arc density (Ceyhan et al. (2006) <doi:10.1016/j.csda.2005.03.002>;
Ceyhan et al. (2007) <doi:10.1002/cjs.5550350106>). The PCD families considered are Arc-Slice PCDs,
Proportional-Edge PCDs, and Central Similarity PCDs.

Elvan Ceyhan

pcds

Proximity Catch Digraphs and Their Applications

print.summary.TriLines function

<dl><dt>x</dt>
<dd>An <code>object</code> of class <code>"summary.TriLines"</code>,
generated by <code>summary.TriLines</code>.</dd>
<dt>...</dt>
<dd>Additional parameters for <code>print</code>.</dd></dl>

Arguments

Print a summary of a TriLines object — print.summary.TriLines

<dl>

<dt>x</dt>
<dd>An <code>object</code> of class <code>"summary.TriLines"</code>,
generated by <code>summary.TriLines</code>.</dd>


<dt>...</dt>
<dd>Additional parameters for <code>print</code>.</dd>

</dl>

print.summary.TriLines: Print a summary of a `TriLines` `object`

Description

Usage

Value

Arguments

See Also