def test__bootstrap__computation(self):
""" Result of bootstrap() equals expected result. """
# Computing bootstrap
result1 = statx.bootstrap(self.samples.temperature, [0], min_observations=1)
# Checking if lower percentile of result2 is correct
self.assertAlmostEqual(result1[0][2.5], 98.1220, 2)
# Checking if upper percentile of result2 is correct
self.assertAlmostEqual(result1[0][97.5], 98.3708, 2)
# Checking if no bootstrap data was passed
self.assertIsNone(result1[1])
# Defining data and computing bootstrap
zero_3 = np.array([0., 0., 0.])
one_3 = np.array([1., 1., 1.])
result2 = statx.bootstrap(zero_3, one_3, min_observations=3)
# Checking if lower percentile of result2 is correct
self.assertEqual(result2[0][2.5], -1.0)
# Checking if upper percentile of result2 is correct
self.assertEqual(result2[0][97.5], -1.0)
# Checking if no bootstrap data was passed
self.assertIsNone(result2[1])
# Defining data and computing bootstrap
sample1 = self.samples.temperature[self.samples.gender == 1]
sample2 = self.samples.temperature[self.samples.gender == 2]
result3 = statx.bootstrap(sample1, sample2)
# Checking if lower percentile of result3 is correct
self.assertAlmostEqual(result3[0][2.5], -0.53384615384615619)
# Checking if upper percentile of result3 is correct
self.assertAlmostEqual(result3[0][97.5], -0.049192307692299965)
# Checking if no bootstrap data was passed
self.assertIsNone(result3[1])
def test__bootstrap__computation(self):
""" Result of bootstrap() equals expected result. """
# Computing bootstrap
result1 = statx.bootstrap(self.samples.temperature, [0],
min_observations=1)
# Checking if lower percentile of result2 is correct
self.assertAlmostEqual(result1[0][2.5], 98.1220, 2)
# Checking if upper percentile of result2 is correct
self.assertAlmostEqual(result1[0][97.5], 98.3708, 2)
# Checking if no bootstrap data was passed
self.assertIsNone(result1[1])
# Defining data and computing bootstrap
zero_3 = np.array([0., 0., 0.])
one_3 = np.array([1., 1., 1.])
result2 = statx.bootstrap(zero_3, one_3, min_observations=3)
# Checking if lower percentile of result2 is correct
self.assertEqual(result2[0][2.5], -1.0)
# Checking if upper percentile of result2 is correct
self.assertEqual(result2[0][97.5], -1.0)
# Checking if no bootstrap data was passed
self.assertIsNone(result2[1])
# Defining data and computing bootstrap
sample1 = self.samples.temperature[self.samples.gender == 1]
sample2 = self.samples.temperature[self.samples.gender == 2]
result3 = statx.bootstrap(sample1, sample2)
# Checking if lower percentile of result3 is correct
self.assertAlmostEqual(result3[0][2.5], -0.53384615384615619)
# Checking if upper percentile of result3 is correct
self.assertAlmostEqual(result3[0][97.5], -0.049192307692299965)
# Checking if no bootstrap data was passed
self.assertIsNone(result3[1])