| Multivariate Pattern Analysis in Python

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This content refers to the previous stable release of PyMVPA. Please visit www.pymvpa.org for the most recent version of PyMVPA and its documentation.

# measures.corrcoef

## Module: `measures.corrcoef`

Inheritance diagram for `mvpa.measures.corrcoef`:

FeaturewiseDatasetMeasure of correlation with the labels.

## `CorrCoef`

class `mvpa.measures.corrcoef.``CorrCoef`(pvalue=False, attr='labels', **kwargs)

  Bases: `mvpa.measures.base.FeaturewiseDatasetMeasure`

  FeaturewiseDatasetMeasure that performs correlation with labels

  XXX: Explain me!

  Note

  Available state variables:

  - base_sensitivities: Stores basic sensitivities if the sensitivity relies on combining multiple ones
  - null_prob+: State variable
  - null_t: State variable
  - raw_results: Computed results before applying any transformation algorithm

  (States enabled by default are listed with +)

  See also

  Please refer to the documentation of the base class for more information:

  `FeaturewiseDatasetMeasure`

  Initialize

  Parameters:

  - pvalue (bool) – Either to report p-value of pearsons correlation coefficient instead of pure correlation coefficient
  - attr (basestring) – What attribut to correlate with
  - enable_states (None or list of basestring) – Names of the state variables which should be enabled additionally to default ones
  - disable_states (None or list of basestring) – Names of the state variables which should be disabled
  - combiner (Functor) – The combiner is only applied if the computed featurewise dataset measure is more than one-dimensional. This is different from a transformer, which is always applied. By default, the sum of absolute values along the second axis is computed.
  - transformer (Functor) – This functor is called in __call__() to perform a final processing step on the to be returned dataset measure. If None, nothing is called
  - null_dist (instance of distribution estimator) – The estimated distribution is used to assign a probability for a certain value of the computed measure.

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