Statistics

The stats module provides a set of functions for calculating statistics of study and recall sequences of individual participants.

Counting recalls by serial position and output position

count_outputs(list_length, pool_items, ...)

Count actual and possible recalls for each output position.

Counting transitions

count_lags(list_length, pool_items, recall_items)	Count actual and possible serial position lags.
count_lags_compound(list_length, pool_items, ...)	Count lags conditional on the lag of the previous transition.
count_category(pool_items, recall_items, ...)	Count within-category transitions.
count_distance(distances, edges, pool_items, ...)	Count transitions within distance bins.

Ranking transitions

percentile_rank(actual, possible)	Get percentile rank of a score compared to possible scores.
rank_lags(pool_items, recall_items[, ...])	Calculate rank of absolute lag for free recall lists.
rank_distance(distances, pool_items, ...[, ...])	Calculate percentile rank of transition distances.
rank_distance_shifted(distances, max_shift, ...)	Calculate percentile rank of shifted distances.