aniSNA

The goal of aniSNA is to provide easy to use functions for the ecologists aiming to perform social network analysis on the animal GPS telemetry data.

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Version

Install

install.packages('aniSNA')

Monthly Downloads

420

Version

1.1.1

License

MIT + file LICENSE

Maintainer

Prabhleen Kaur

Last Published

March 25th, 2024

Functions in aniSNA (1.1.1)

get_coordinates_in_radian

To convert latitude and longitude values from degrees to radians

regression_slope_analyze

To perform regression analysis for local network metrics

plot.bootstrapped_pvalue_matrix

To plot the results obtained from bootstrapped_difference_pvalues function

subsampled_network_metrics

To generate subsamples and obtain network metrics of the subsamples

global_CI

To obtain confidence intervals around the observed global network statistics

subsampled_permuted_network_metrics

To generate subsamples of the permuted networks and obtain network metrics of those subsamples

get_spatial_threshold

To obtain spatial threshold for calculating interactions from raw GPS observations. The threshold is obtained as the distance interval that captures maximum number of inter-individual interactions.

plot.list_correlation_matrices

To plot correlation analysis results

plot.Width_CI_matrix

To plot the results obtained from width_CI function

distance_radian_coordinates

Calculate distance between two pairs of radian coordinates

interacting_pairs

Function to obtain pairs of interacting animals

global_width_CI

To obtain width of confidence intervals for global network metrics using bootstrapped versions at each level of sub-sampling

correlation_analyze

To perform correlation analysis for node-level network metrics

obtain_permuted_network_versions

Function to obtain permuted networks from raw datastream

plot.Subsampled_Network_Metrics

To plot sub-sampling results

elk_interactions_2010

Dataset of interactions from elk_data_2010 using first mode as the spatial threshold

aniSNA

node_level_CI

To obtain confidence intervals for node-level network metrics

network_from_interactions

Function to obtain a network structure from interactions dataframe

get_network_summary

Calculates and prints network summary statistics

obtain_bootstrapped_samples

To obtain bootstrapped versions of a network's adjacency matrix

get_interactions

To obtain interactions from raw GPS observations

obtain_network_subsamples

To obtain sub-networks of the observed network

bootstrapped_difference_pvalues

To obtain two non-overlapping bootstrapped versions and obtain p-values for the significance of difference between them

elk_network_2010

An igraph object depicting the network obtained from elk_interactions_2010

elk_all_interactions_2010

Dataset of all possible interactions from elk_data_2010

elk_data_2010

Data to showcase functions in our package

elk_2010_permutations

A list of 100 igraph objects obtained by permuting the raw elk_data_2010 and obtaining network from those

plot.Subsampled_Permuted_Network_Metrics

To plot sub-sampling results of the original network and permuted networks

plot.list_regression_matrices

To plot regression analysis results

plot.list_permuted_networks

Function to plot the network metrics distribution of permuted networks

plot.list_node_level_CI

To plot the results for node-level confidence intervals

plot_network

Visualize Animal Network