Code and Datasets for "A simple mechanism for collective decision-making in the absence of payoff information"

This repository contains R code and datasets used for analyses in the paper: "A simple mechanism for collective decision-making in the absence of payoff information" Published in <em>Proceedings of the National Academy of Sciences of the United States of America</em> (PNAS) in 2023 by Daniele Carlesso, Justin M. McNab, Christopher J. Lustri, Simon Garnier, and Chris. R. Reid. <pre><code>✓ Ensure that all files are in the same folder for the code to run properly. ✓ the repository also includes a summary HTML file for easier visualisation. </code></pre> Datasets: <pre><code>• chain_growth.csv • cumsum_df.csv • growth_data.csv • GrowthMP.csv • JL_chaingrowth.csv • joining_distance.csv • leave_10.csv • leaving_positions.csv • timespent.csv • traffic_mean.csv </code></pre> Code: <pre><code>• Code.Rmd </code></pre> Markdown summary: <pre><code>• Code.html </code></pre>