metadpy.sdt.scores#
- metadpy.sdt.scores(data: None, stimuli: Union[List[int], ndarray], responses: Union[List[int], ndarray]) Tuple[int, int, int, int][source]#
- metadpy.sdt.scores(data: DataFrame, stimuli: str, responses: str) Tuple[int, int, int, int]
Hits, misses, false alarms and correct rejection from stimuli and responses.
- Parameters
- data
Dataframe containing one stimuli and one response column.
- stimuli
If a string is provided, should be the name of the column used as stimuli. If a list or an array is provided, should contain the boolean vectors for stimuli.
- responses
If a string is provided, should be the name of the column used as responses. If a list or an array is provided, should contain the boolean vector for responses.
- Returns
- hits, misses, fas, crs
The number of hits, misees, false alarms and correct rejections.
- Raises
- ValueError:
If no valid data is provided.
Notes
If a
pandas.DataFrameis provided, the function will search for a stimuli`and a `responses column by default if no other column names are provided.