cardioception.reports.group_level_preprocessing#

cardioception.reports.group_level_preprocessing(results: Union[PathLike, DataFrame], variables: List[str] = ['participant_id', 'Modality'], additional_variables=[], behavioural_indices: bool = True, psychophysical_indices: bool = True, metacognitive_indices: bool = True) → DataFrame[source]#

Extrat all relevant indices from large result data frames.

Note

This function concatenate the results from {ref}`cardioception.stats.psychophysics`, {ref}`cardioception.stats.behaviours` and {ref}`cardioception.stats.metacognition`, see the documentation of thoses functions for more details on the indices.

Parameters

results: The data frame merging the individual result data frames. Multiple variables / condition can be specifyed using separate columns with the variables argument.
variables: The variables coding for group / repeated measures. The default is participant_id and Modality.
additional_variables: Additional variables for group / repeated measures.
behavioural_indices: Whether to extract the behavioural indices. Defaults to True.
psychophysical_indices: Whether to extract the psychophysical indices. Defaults to True.
metacognitive_indices: Whether to extract the metacognitive indices. Defaults to True.

Returns