Package mvpa :: Package measures :: Module anova :: Class OneWayAnova
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Class OneWayAnova

source code


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.

Nested Classes [hide private]

Inherited from misc.state.Stateful: __metaclass__

Instance Methods [hide private]
 
__init__(self, **kwargs)
Nothing special to do here.
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_call(self, dataset)
Computes featurewise f-scores.
source code

Inherited from base.FeaturewiseDatasetMeasure (private): _postcall

Inherited from base.DatasetMeasure: __call__, __str__

Inherited from misc.state.Stateful: __getattribute__, __repr__, __setattr__, reset

Inherited from object: __delattr__, __hash__, __new__, __reduce__, __reduce_ex__

Class Variables [hide private]
  _collections_template = {'states': <mvpa.misc.state.StateColle...

Inherited from base.FeaturewiseDatasetMeasure: base_sensitivities

Inherited from base.DatasetMeasure: __doc__, null_prob, raw_result

Inherited from misc.state.Stateful (private): _initargs

Properties [hide private]

Inherited from misc.state.Stateful: descr

Inherited from object: __class__

Method Details [hide private]

__init__(self, **kwargs)
(Constructor)

source code 
Nothing special to do here.
Parameters:
  • combiner - If _call returned value is 2d -- combines along 2nd dimension as well as sets base_sensitivities TODO change combiner's default
Overrides: object.__init__

_call(self, dataset)

source code 
Computes featurewise f-scores.
Overrides: base.DatasetMeasure._call

Class Variable Details [hide private]

_collections_template

Value:
{'states': <mvpa.misc.state.StateCollection object at 0x8cae08c>}