This OSF project accompanies the manuscript:
Olschewski, S.\*, Spektor, M. S.\*, & Le Mens, G. (2024). Frequent winners explain apparent skewness preferences in experience-based decisions. *Proceedings of the National Academy of Sciences*, *121*(12), e2317751121. https://doi.org/10.1073/pnas.2317751121
The project is organized as follows:
1. **Analyses.ipynb**: A Jupyter (https://jupyter.org/) notebook that runs the main analyses reported in the manuscript and generates.
2. **Figure 1.ipynb** to **Figure 4.ipynb**: Jupyter (https://jupyter.org/) notebooks that create the respective figures in the manuscript. The Python package *matplotlib* needs to be set up to use *LaTeX*, otherwise the text will not render correctly.
3. **Modeling.ipynb**: A Jupyter (https://jupyter.org/) notebook containing the model-fitting procedure for all computational models reported in the manuscript. This notebook needs to be run before Figure 2 and Figure 4 can be created.
5. The folder **data** contains the anonymized data from each of the studies.
6. The folder **figures** contains all figures created by **Figure 1.ipynb** to **Figure 4.ipynb**.
7. The folder **temporary_files** is for temporary files required for the analysis pipeline. It contains *continuous_outs.csv* and *discrete_outs.csv* that are reproducible example sequences for Figure 1 and *trial_sampling.svg* which was created externally. All other necessary files will be created as part of the analysis pipeline.
8. The file **SkewnessPreferencesSI.pdf** contains the supplemental material for the manuscript.
Correspondence should be sent to Sebastian Olschewski ([sebastian.olschewski@unibas.ch][1]) or Mikhail Spektor ([mikhail@spektor.ch][2]).
[1]: mailto:sebastian.olschewski@unibas.ch
[2]: mailto:mikhail@spektor.ch
