network_from_interactions

Function to obtain a network structure from interactions dataframe

Obtain network structures from animal GPS telemetry observations and
statistically analyse them to assess their adequacy for social network analysis. Methods include
pre-network data permutations, bootstrapping techniques to obtain confidence intervals
for global and node-level network metrics, and correlation and regression analysis of the local network metrics.

Prabhleen Kaur

aniSNA

Statistical Network Analysis of Animal Social Networks

Michael Salter-Townshend

network_from_interactions function

<dl><dt>species_raw</dt>
<dd>A dataframe consisting of raw GPS observations.
It should have at least four columns namely "animal_id", "datetime", "latitude|_rad", and "longitude_rad". 
"latitude|_rad", and "longitude_rad" are latitude and longitude values in radians respectively. See function "get_coordinates_in_radian"
to get these values.</dd>
<dt>interactions</dt>
<dd>A dataframe of interactions obtained from raw GPS observations using the function "get_interactions"</dd>
<dt>n_cores</dt>
<dd>Number of cores for parallel processing, default is 1</dd></dl>

Arguments

Function to obtain a network structure from interactions dataframe — network_from_interactions

<dl>

<dt>species_raw</dt>
<dd>A dataframe consisting of raw GPS observations.
It should have at least four columns namely "animal_id", "datetime", "latitude|_rad", and "longitude_rad". 
"latitude|_rad", and "longitude_rad" are latitude and longitude values in radians respectively. See function "get_coordinates_in_radian"
to get these values.</dd>


<dt>interactions</dt>
<dd>A dataframe of interactions obtained from raw GPS observations using the function "get_interactions"</dd>


<dt>n_cores</dt>
<dd>Number of cores for parallel processing, default is 1</dd>

</dl>

network_from_interactions: Function to obtain a network structure from interactions dataframe

Description

Usage

Value

Arguments

Examples