cymr.fit.prepare_lists#
- cymr.fit.prepare_lists(data, study_keys=None, recall_keys=None, clean=True)#
Prepare study and recall data for simulation.
Return data information split by list. This format is similar to frdata structs used in EMBAM.
- Parameters:
data (pandas.DataFrame) – Free recall data in Psifr format.
study_keys (list of str, optional) – Columns to export for study list data. Default is: [‘input’, ‘item_index’]. Input position is assumed to be one-indexed.
recall_keys (list of str, optional) – Columns to export for recall list data. Default is: [‘input’, ‘item_index’]. Input position is assumed to be one-indexed.
clean (bool, optional) – If true, repeats and intrusions will be removed.
- Returns:
study (dict of (str: list of numpy.array)) – Study columns in list format.
recall (dict of (str: list of numpy.array)) – Recall columns in list format.