Collection of analysis scripts used for the journal submission of adaptive computation.
The main reports used in the submission are located under reports/. These are organized by manuscript section.
These reports use some preprocessing scripts (e.g., parsing human responses) located under scripts/.
This also includes scripts to create some of the figures.
The human and model data can be downloaded as a tar.gz archive here.
To extract the dataset run tar -xzf data.tar.gz.
The result should be a folder called data/ with three sections corresponding to the manuscript layout (the probes, effort, and accuracy experiments).
The main reports used in the submission depend on any recent version of R-studio, in particular the tidyverse and ksmooth packages.
A docker enviroment used for the submission is provided at Dockerfile under the project root.
The raw behavioral data (collected via https://github.com/CNCLgithub/mot-psiturk) can be parsed by scripts/parsed_db_exp_[probes|effort].py. These will require a python environment with the following dependencies:
numpy
pandas
sqlalchemy