pedlr-derivatives
Repo to store all results originating from PEDLR experiment data.
Datalad
This is a datalad repository.
For more information on how to use datalad please see https://www.datalad.org/
Usage
For integration with the Github code repository (DOI: 10.5281/zenodo.10211239) clone the pedlr-main-data (DOI: 10.12751/g-node.9gm3lt) as data and this repository as derivatives into the code repository.
Data set structure
├── LICENSE # License file (CC BY-SA 4.0)
├── README.md # This file
├── analysis # Dir containing .html files of analysis notebooks
│ ├── data_quality.html # Data quality assessment
│ ├── demographic.html # Demographics summary
│ ├── results_01.html # Main results (behavior)
│ ├── results_02.html # Main results (modeling)
│ └── (...)
├── figures # Dir holding figures .pdf and data
│ └── (...)
├── model_fitting # Dir holding data for model fitting
│ ├── fit-09RI1ZH_sv-random.tsv # Example file: fit of all models to choice data (random starting-values)
│ ├── (...)
│ ├── modeldata-09RI1ZH_sv-random.tsv # Example file: Model choice proabability for each trial (random starting-values)
│ └── (...)
├── parameter_recovery # Dir holding analysis and data of model and parameter recovery
│ ├── analysis_model_recov.html # Results model recovery
│ ├── analysis_param_recov.html # Results parameter recovery
│ ├── modelrecov_base-09RI1ZH_model-rw_randips-TRUE_randbetas-FALSE_randsvs-TRUE_principle-TRUE.tsv # Example file: Fit of all models on data simulated by specified model (random parameters, fixed regression betas, random starting-values)
│ ├── (...)
│ ├── paramrecov_base-09RI1ZH_model-rw_randips-TRUE_randbetas-FALSE_randsvs-TRUE_principle-TRUE.tsv # Example file: Parameter recovery of all models on data simulated by specified model (random parameters, fixed regression betas, random starting-values)
│ ├── (...)
│ ├── recovdata_base-09RI1ZH_model-rw_randips-TRUE_randbetas-FALSE_randsvs-TRUE_principle-TRUE.tsv # Example file: Trialwise information on recovery (random parameters, fixed regression betas, random starting-values)
│ └── (...)
├── posterior_pred_checks # Dir holding analysis and data of posterior predictive checks
│ ├── analysis_posterior_pred_checks.html # Analysis notbook of post. pred. checks
│ ├── postpred-09RI1ZH_model-rw.tsv # Data for post. pred. check for specified model
│ ├── (...)
│ ├── windowrizepred-09RI1ZH.tsv # Data for post. pred. check (influence of surprise) for spec. model
│ └── (...)
└── simulation
└── (...)
