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Multivariate Pattern Analysis in Python |
FeaturewiseDatasetMeasure performing a univariate ANOVA.
The comprehensive API documentation for this module, including all technical details, is available in the Epydoc-generated API reference for mvpa.measures.anova (for developers).
Bases: mvpa.measures.base.FeaturewiseDatasetMeasure
FeaturewiseDatasetMeasure that performs a univariate ANOVA.
F-scores are computed for each feature as the standard fraction of between and within group variances. Groups are defined by samples with unique labels.
No statistical testing is performed, but raw F-scores are returned as a sensitivity map. As usual F-scores have a range of [0,inf] with greater values indicating higher sensitivity.
Nothing special to do here.
See also
Derived classes might provide additional methods via their base classes. Please refer to the list of base classes (if it exists) at the begining of the OneWayAnova documentation.
Full API documentation of OneWayAnova in module mvpa.measures.anova.