metadpy.utils.responseSimulation#
- metadpy.utils.responseSimulation(d: float = 1.0, metad: float = 2.0, c: float = 0, nRatings: int = 4, nTrials: int = 500, nSubjects: int = 1) DataFrame[source]#
Simulate response and confidence ratings for one or a group of participants.
- Parameters
- d
Type 1 task performance (d prime).
- metadfloat
Type 2 sensitivity in units of type 1 dprime.
- c
Type 1 task bias (criterion).
- nRatings
Number of ratings.
- nTrials
Set the number of trials performed.
- nSubjects
Specify the number of subject who performed the task.
- Returns
- output_df
A DataFrame (nRows==`nTrials`) containing the responses and confidence rating for one or many participants given the provided parameters.
See also
References
This function is adapted from the Matlab cpc_metad_sim function from: metacoglab/HMeta-d