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

<p>This repository contains R code and datasets used for analyses in the paper:</p> <p>&quot;A simple mechanism for collective decision-making in the absence of payoff information&quot;</p> <p>Published in <em>Proceedings of the National Academy of Sciences of the United States of America</em> (PNAS) in 2023</p> <p>by Daniele Carlesso, Justin M. McNab, Christopher J. Lustri, Simon Garnier, and Chris. R. Reid.</p> <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> <p>Datasets:</p> <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> <p>Code:</p> <pre><code>• Code.Rmd </code></pre> <p>Markdown summary:</p> <pre><code>• Code.html </code></pre>