R: Statistical Network Analysis of Animal Social Networks

# Statistical Network Analysis of Animal Social Networks

## Documentation for package ‘aniSNA’ version 1.1.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

aniSNA | aniSNA
bootstrapped_difference_pvalues | To obtain two non-overlapping bootstrapped versions and obtain p-values for the significance of difference between them
correlation_analyze | To perform correlation analysis for node-level network metrics
distance_radian_coordinates | Calculate distance between two pairs of radian coordinates
elk_2010_permutations | A list of 100 igraph objects obtained by permuting the raw elk_data_2010 and obtaining network from those
elk_all_interactions_2010 | Dataset of all possible interactions from elk_data_2010
elk_data_2010 | Data to showcase functions in our package
elk_interactions_2010 | Dataset of interactions from elk_data_2010 using first mode as the spatial threshold
elk_network_2010 | An igraph object depicting the network obtained from elk_interactions_2010
get_coordinates_in_radian | To convert latitude and longitude values from degrees to radians
get_interactions | To obtain interactions from raw GPS observations
get_network_summary | Calculates and prints network summary statistics
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.
global_CI | To obtain confidence intervals around the observed global network statistics
global_width_CI | To obtain width of confidence intervals for global network metrics using bootstrapped versions at each level of sub-sampling
interacting_pairs | Function to obtain pairs of interacting animals
network_from_interactions | Function to obtain a network structure from interactions dataframe
node_level_CI | To obtain confidence intervals for node-level network metrics
obtain_bootstrapped_samples | To obtain bootstrapped versions of a network's adjacency matrix
obtain_network_subsamples | To obtain sub-networks of the observed network
obtain_permuted_network_versions | Function to obtain permuted networks from raw datastream
plot.bootstrapped_pvalue_matrix | To plot the results obtained from bootstrapped_difference_pvalues function
plot.list_correlation_matrices | To plot correlation analysis results
plot.list_node_level_CI | To plot the results for node-level confidence intervals
plot.list_permuted_networks | Function to plot the network metrics distribution of permuted networks
plot.list_regression_matrices | To plot regression analysis results
plot.Subsampled_Network_Metrics | To plot sub-sampling results
plot.Subsampled_Permuted_Network_Metrics | To plot sub-sampling results of the original network and permuted networks
plot.Width_CI_matrix | To plot the results obtained from width_CI function
plot_network | Visualize Animal Network
regression_slope_analyze | To perform regression analysis for local network metrics
subsampled_network_metrics | To generate subsamples and obtain network metrics of the subsamples
subsampled_permuted_network_metrics | To generate subsamples of the permuted networks and obtain network metrics of those subsamples