Measures

The measures module connects the lower-level statistics defined in the stats module with high-level analyses defined in the fr module. Each of the measures defined here takes table-format free-recall data, extracts information necessary for a given statistic, exports it to list format, calculates the statistic, and packages it within a results table for output.

Transition measure base class

TransitionMeasure(items_key, label_key[, ...])	Measure of free recall dataset with multiple subjects.
TransitionMeasure.split_lists(data, phase[, ...])	Get relevant fields and split by list.
TransitionMeasure.analyze(data)	Analyze a free recall dataset with multiple subjects.
TransitionMeasure.analyze_subject(subject, ...)	Analyze a single subject.

Transition measures

TransitionOutputs(list_length[, item_query, ...])	Measure recall probability by input and output position.
TransitionLag(list_length[, lag_key, ...])	Measure conditional response probability by lag.
TransitionLagRank([lag_key, item_query, ...])	Measure lag rank of transitions.
TransitionCategory(category_key[, ...])	Measure conditional response probability by category transition.
TransitionDistance(index_key, distances, edges)	Measure conditional response probability by distance.
TransitionDistanceRank(index_key, distances)	Measure transition rank by distance.