quail 0.2.2

A python toolbox for analyzing and plotting free recall data

Quail is a Python package that facilitates analyses of behavioral data from memory experiments. (The current focus is on free recall experiments.) Key features include:

• Serial position curves (probability of recalling items presented at each presentation position)

• Probability of Nth recall curves (probability of recalling items at each presentation position as the Nth recall in the recall sequence)

• Lag-Conditional Response Probability curves (probability of transitioning between items in the recall sequence, as a function of their relative presentation positions)

• Clustering metrics (e.g. single-number summaries of how often participants transition from recalling a word to another related word, where “related” can be user-defined.)

• Many nice plotting functions

• Convenience functions for loading in data

• Automatically parse speech data (audio files) using wrappers for the Google Cloud Speech to Text API

The intended user of this toolbox is a memory researcher who seeks an easy way to analyze and visualize data from free recall psychology experiments.