psifr.fr.spc

psifr.fr.spc(df)

Serial position curve.

Parameters:

df (pandas.DataFrame) – Merged study and recall data. See merge_lists.

Returns:

recall –

subjecthashable

Subject identifier.

inputint

Serial position in the list.

recallfloat

Recall probability for each serial position.

Return type:

pandas.DataFrame

See also

plot_spc

Plot serial position curve results.

pnr

Probability of nth recall.

Examples

>>> from psifr import fr
>>> raw = fr.sample_data('Morton2013')
>>> data = fr.merge_free_recall(raw)
>>> fr.spc(data)
     subject  input    recall
0          1    1.0  0.541667
1          1    2.0  0.458333
2          1    3.0  0.625000
3          1    4.0  0.333333
4          1    5.0  0.437500
..       ...    ...       ...
955       47   20.0  0.500000
956       47   21.0  0.770833
957       47   22.0  0.729167
958       47   23.0  0.895833
959       47   24.0  0.958333

[960 rows x 3 columns]