def test_no_significance1(self):
val = rat.approximate_randomization_test(self.tree1L,
self.tree1L,
self.tree1L,
self.measure,
0.01)
self.assertFalse(val)
def test_no_significance2(self):
# this test uses random trees, so it occasionally fails...
val = rat.approximate_randomization_test(self.randomTree1L,
self.randomTree1L,
self.randomTree2L,
self.measure,
0.01)
self.assertFalse(val)
def test_significance2(self):
# the significance level estimated here is approx 0.5!
# needs more data for more significance, I suppose.
val = rat.approximate_randomization_test(self.tree1L,
self.tree1L,
self.tree2L,
self.measure,
0.6)
self.assertTrue(val)