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# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
import numpy as np
from nipy.neurospin.group.permutation_test import permutation_test_onesample
# Get group data
f = np.load('data/offset_002.npz')
data, vardata, xyz = f['mat'], f['var'], f['xyz']
# Create one-sample permutation test instance
ptest = permutation_test_onesample(data, xyz, stat_id='wilcoxon')
# Cluster definition: (threshold, diameter)
# Note that a list of definitions can be passed to ptest.calibrate
cluster_def = (ptest.height_threshold(0.01), None)
print cluster_def
# Multiple calibration
# To get accurate pvalues, don't pass nperms (default is 1e4)
# Yet it will take longer to run
voxel_res, cluster_res, region_res = ptest.calibrate(nperms=100, clusters=[cluster_def])
# Simulated Zmax values for FWER correction
simu_zmax = ptest.zscore(voxel_res['perm_maxT_values'])
# Output regions
clusters = cluster_res[0] ## This is a list because several cluster definitions can be accepted
sizes = clusters['size_values']
clusters_Pcorr = clusters['size_Corr_p_values']
# Simulated cluster sizes
simu_s = clusters['perm_size_values']
simu_smax = clusters['perm_maxsize_values']
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