Foraging Variability

This folder contains the scripts to run analysis for Stochastic choice drives variability in patch foraging decisions across species.

Datasets

• Le Heron et al. (2020): field-human data
• Contreras-Huerta et al. (2022): berry-human data
• Kane et al. (2019): rat data

Folder Structure

• data/: All data required to run the models and generate the figures from the paper
• figs/: All scripts to generate the figures and run relevant statistics
• models/: All scripts to calculate expected leaving times and variability, and model fitting and simulation scripts
• stats/: R script to run linear mixed effects models (Figure 1 and 5), and JASP HTML output for Bayes factors (paired comparisons)

Software

• MATLAB (2023b): Model code and figure generation
• R: Linear mixed models (session info in stats/ folder)
• JASP: Bayes factors for paired comparisons

---

For questions, contact: exs165@bham.ac.uk\