pyWitness Documentation
pyWitness is a python package to manipulate, process, model, fit eyewitness recognition memory data, and create simulations. It is written in python, but by employing reticulate, you can use it with R too.
- Licence & Disclaimer
- Authorship
- Installation
- Using pyWitness from R
- Introduction
- Tutorials
- Python
- Loading raw experimental data
- Checking and exploring loaded data
- Processing raw experimental data
- Plotting ROC curves
- Plotting CAC curves
- Collapsing the categorical data
- Collapsing (binning) continuous data
- Calculating pAUC and performing statistical tests
- Plotting RAC curves
- Fitting signal detection-based models to data
- Setting initial fit parameters
- Plotting fit and models
- d-prime calculation
- Writing results to file
- Designated innocent suspect in target absent (TA) lineups
- Advanced tutorials
- Bootstrapping uncertainties/confidence limits
- Loading raw data excel format
- Transforming data into common format
- Processing data for two conditions
- Statistical (pAUC) comparision between two conditions
- Loading processed data
- Using instances of raw data, processed data and model fits
- Overlaying plots
- Generating data from signal detection model
- Power analysis
- Developer tutorials
- Results
- Module Contents
- Support