This content refers to an unreleased development version of PyMVPA
To provide the most recent news and documentation www.pymvpa.org reflects the development 0.6 series of PyMVPA. If you are interested in the documentation of the previous stable 0.4 series of PyMVPA, please visit v04.pymvpa.org.

mvpa.measures.corrcoefΒΆ

FeaturewiseMeasure of correlation with the labels.

Inheritance diagram of mvpa.measures.corrcoef

Functions

pearsonr(x, y) Calculates a Pearson correlation coefficient and the p-value for testing

Classes

CorrCoef(**kwargs[, pvalue, attr]) FeaturewiseMeasure that performs correlation with labels
Dataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
FeaturewiseMeasure(**kwargs) A per-feature-measure computed from a Dataset (base class).

NeuroDebian

NITRC-listed