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src/n/i/nipy-0.3.0/nipy/labs/spatial_models/parcel_io.py   nipy(Download)
    # 2. perform one-sample test
    # computation
    from ..utils.reproducibility_measures import ttest
    prfx = ttest(test_data)
 

src/n/i/nipy-0.3.0/nipy/labs/spatial_models/hierarchical_parcellation.py   nipy(Download)
    caveat: assumes that the functional dimension is 1
    """
    from ..utils.reproducibility_measures import ttest
    # permutations for the assesment of the results
    prfx0 = []
        pdata = pcl.make_feature('functional',
                                 np.rollaxis(np.array(ldata), 1, 0))
        prfx = ttest(np.squeeze(pdata))
        if verbose:
            print q, prfx.max(0)