cells40

Indices of mesh cells for spherical numerical integration.

internal

We provide an R tool for computation and nonparametric plug-in estimation of Highest Density Regions (HDRs) and general level sets in the directional setting. Concretely, circular and spherical HDRs can be reconstructed from a data sample following Saavedra-Nieves and Crujeiras (2021) <doi:10.1007/s11634-021-00457-4>. This library also contains two real datasets in the circular and spherical settings. The first one concerns a problem from animal orientation studies and the second one is related to earthquakes occurrences.

Paula Saavedra-Nieves

HDiR

Directional Highest Density Regions

Rosa M Crujeiras

Andrés Prieto

Felicita Scapini

cells40 function

A data frame with 32000 rows where each one corresponds to the indices (rows) in the data set <code>points40</code> that characterizes a cell.<dl>
 <dt><code>V1</code></dt>
<dd>Index of the first cell vertex.</dd> <dt><code>V2</code></dt>
<dd>Index of the second cell vertex.</dd> <dt><code>V3</code></dt>
<dd>Index of the third cell vertex.</dd> 
</dl>

Format

Indices of mesh cells for spherical numerical integration — cells40

A data frame with 32000 rows where each one corresponds to the indices (rows) in the data set <code>points40</code> that characterizes a cell.<dl>
 <dt><code>V1</code></dt>
<dd>Index of the first cell vertex.</dd>

 <dt><code>V2</code></dt>
<dd>Index of the second cell vertex.</dd>

 <dt><code>V3</code></dt>
<dd>Index of the third cell vertex.</dd>

 
</dl>

cells40: Indices of mesh cells for spherical numerical integration

Description

Arguments

Format