Quail: A python toolbox for analyzing free recall experiments and plotting the results

Quail is a library for analyzing and visualizing free recall data in Python. It is built on top of matplotlib and seaborn. For sample Jupyter notebooks, click Examples and to read the paper, click Paper.

Some key features of Quail are:

• A simple data structure for encoding and recall data (eggs).

• A set of functions for analyzing data: accuracy, serial position curves, p(first recall), lag-crp and memory fingerprints!

• Simple API for customizing plot styles.

• Set of powerful tools for importing data, automatically transcribing audio files and more.

Contents:

• Installation
  • Requirements
• How to use the Quail package
  • The Egg data object
  • Basic analysis and plotting
  • More advanced plotting
  • Setting up speech decoding
  • What is a “memory fingerprint”?
  • Example datasets
• Gallery of Examples
• API reference
  • Egg class
  • FriedEgg class
  • Fingerprint class
  • Optimal Presenter class
  • Load example data
  • Load egg
  • Analyze
  • Plot
  • Decode speech
  • Stack eggs
  • Crack egg
  • Convert recall matrix to egg