Cognitive maps in spatial and non-spatial domains: Similar but different

This git repo contains the data, code, and analyses used in Wu, Schulz, Garvert, Meder & Schuck (20202).

Data

• The data is located in experimentData/full.csv
• The script dataProcess.R provides functions for importing data in well formatted dataframes

Experiment

• experiment/gaborPatches.R contains the code used to generate the gabor stimuli
• experiment/roughEnvironment.json and experiment/smoothEnvironment.json contain the underlying payoff distributions used in the experiment

Analyses

• All analyses are described in one of three R notebooks, which provide a step-by-step guide of the functions, statistics, and plots used in the final paper
• The .Rmd files are located in docs/ and are separated into behavioral analyses, model results, and bonus round analyses
• Each of these R notebooks produces easy to read HTML files that are an accessible way to look at the precise analyses used in each statistical comparison or plot. So please check them out!
  • behavioral results notebook
  • model results notebook
  • bonus round notebook

There are also some helper files that are loaded in these notebooks or are explicitly mentioned (e.g., modelComparisonCV.R is used to generate the model estimates)

This is the first time I've ever invested the effort to put together interpretable R notebooks of the analyses in a paper. It wasn't a small amount of work, but I think it could be very useful for providing transparency to the scientific process. Let me know what you think!