README.md

In compete: Analyzing Social Hierarchies

compete

Analyzing head-to-head competitive interaction data

Author: James P. Curley,

Contributions: Jiayi Fu, Ke Shen & Ziheng Huang

Maintainer: James P. Curley

email: jc3181 AT columbia DOT edu

Installation

devtools::install_github('jalapic/compete')

Citation

Even though this package is in development, if you do use it in published research please cite it as:

Curley, J.P. 2016, compete: Analyzing competitive interaction data: R package version 0.1

Functions

• get_wl_matrix - turns edgelist into Win-Loss Sociomatrix
• get_di_matrix - turns Win-Loss Sociomatrix into Binary Win-Loss Sociomatrix

• org_matrix - organize Sociomatrix

• dci - Directional Consistency of Sociomatrix

• phi - Phi Skew-Symmetry Coefficient of Sociomatrix
• dc_test - Randomization Test of Directional Consistency and Phi Skew-Symmetry
• devries - Modified Landau's h' of Sociomatrix and randomization test
• ttri - Triangle Transitivity of Sociomatrix
• ttri_test - Randomization Test of Triangle Transitivity of Sociomatrix
• isi98 - I&SI ranking of Sociomatrix (see documentation)
• isi13 - I&SI ranking of Sociomatrix using updated algorithm (see documentation)
• ds - get David's Scores of Sociomatrix

Published papers

This package was used in the following papers:

So, N. et al. 2015, A Social Network Approach Reveals Associations between Mouse Social Dominance and Brain Gene Expression, PLOS ONE

Curley JP, 2016, Temporal Pairwise-Correlation Analysis Provides Empirical Support for Attention Hierarchies in Mice, Biology Letters

Williamson C, Lee W & Curley JP, 2016, Temporal Dynamics of Social Hierarchy Formation and Maintenance in Male Mice., Animal Behaviour.

compete documentation built on May 29, 2017, 1:39 p.m.