585dc138010729fbbd65231170096bac5e3aa5ed,examples/05_advanced/plot_localizer_mass_univariate_methods.py,,,#,29

Before Change

affine = get_affine(neg_log_pvals_anova_unmasked)
_, _, k_slice = coord_transform(0, 0, z_slice,
                                linalg.inv(affine))
k_slice = int(np.round(k_slice))

threshold = - np.log10(0.1)  // 10% corrected
vmax = min(np.amax(neg_log_pvals_permuted_ols),
           np.amax(neg_log_pvals_anova))

After Change

                        display_mode="z", cut_coords=[z_slice],
                        figure=fig, vmax=vmax, black_bg=True)

n_detections = (neg_log_pvals_permuted_ols_unmasked.get_data()
                > threshold).sum()
title = ("Negative $\log_{10}$ p-values"
         "\n(Non-parametric + max-type correction)"
         "\n%d detections") % n_detections

Instances