def test_compare_two_ttest():
results1 = st.compare_two(distr1, distr1, test=st.StatTests.ttest)
nt.ok_(np.isnan(results1.dist))
nt.ok_(np.isnan(results1.pvalue))
results2 = st.compare_two(distr1, distr2, test=st.StatTests.ttest)
nt.ok_(np.isinf(results2.dist))
nt.assert_almost_equal(results2.pvalue, 0.0, places=5)
def test_compare_two_ttest():
results1 = st.compare_two(distr1, distr1, test=st.StatTests.ttest)
assert np.isnan(results1.dist)
assert np.isnan(results1.pvalue)
results2 = st.compare_two(distr1, distr2, test=st.StatTests.ttest)
assert np.isinf(results2.dist)
assert_almost_equal(results2.pvalue, 0.0, decimal=5)
def test_compare_two_ttest():
results1 = st.compare_two(distr1, distr1, test=st.StatTests.ttest)
nt.ok_(np.isnan(results1.dist))
nt.ok_(np.isnan(results1.pvalue))
results2 = st.compare_two(distr1, distr2, test=st.StatTests.ttest)
nt.ok_(np.isinf(results2.dist))
nt.assert_almost_equal(results2.pvalue, 0.0, places=5)
def test_compare_two_ks():
results1 = st.compare_two(distr1, distr1, test=st.StatTests.ks)
nt.assert_almost_equal(results1.dist, 0.0, places=5)
nt.assert_almost_equal(results1.pvalue, 1.0, places=5)
results2 = st.compare_two(distr1, distr2, test=st.StatTests.ks)
nt.assert_almost_equal(results2.dist, 1.0, places=5)
nt.assert_almost_equal(results2.pvalue, 0.0, places=5)
def test_compare_two_ks():
results1 = st.compare_two(distr1, distr1, test=st.StatTests.ks)
assert_almost_equal(results1.dist, 0.0, decimal=5)
assert_almost_equal(results1.pvalue, 1.0, decimal=5)
results2 = st.compare_two(distr1, distr2, test=st.StatTests.ks)
assert_almost_equal(results2.dist, 1.0, decimal=5)
assert_almost_equal(results2.pvalue, 0.0, decimal=5)
def test_compare_two():
data = np.array([1., 1., 2., 2.])
data_same = np.array([1.0, 1.0, 2.0, 2.0])
data_close = np.array([1.02, 1.01, 2.001, 2.0003])
data_far = np.array([200., 100., 201])
results1 = st.compare_two(data, data_same, test=st.StatTests.ks)
assert_almost_equal(results1.dist, 0.0)
assert_almost_equal(results1.pvalue, 1.0)
results2 = st.compare_two(data, data_close, test=st.StatTests.ks)
assert_almost_equal(results2.dist, 0.5)
results3 = st.compare_two(data, data_far, test=st.StatTests.ks)
assert_almost_equal(results3.dist, 1.0)
def test_compare_two():
data = np.array([1., 1., 2., 2.])
data_same = np.array([1.0, 1.0, 2.0, 2.0])
data_close = np.array([1.02, 1.01, 2.001, 2.0003])
data_far = np.array([200., 100., 201])
results1 = st.compare_two(data, data_same, test=st.StatTests.ks)
nt.assert_almost_equal(results1.dist, 0.0)
nt.assert_almost_equal(results1.pvalue, 1.0)
results2 = st.compare_two(data, data_close, test=st.StatTests.ks)
nt.assert_almost_equal(results2.dist, 0.5)
nt.assert_almost_equal(results2.pvalue, 0.5344157, places=5)
results3 = st.compare_two(data, data_far, test=st.StatTests.ks)
nt.assert_almost_equal(results3.dist, 1.0)
nt.assert_almost_equal(results3.pvalue, 0.0205039, places=5)
def test_compare_two_error():
data = np.array([1., 1., 2., 2.])
data_same = np.array([1.0, 1.0, 2.0, 2.0])
results1 = st.compare_two(data, data_same, test='test')
def test_compare_two_wilcoxon():
results2 = st.compare_two(distr1, distr2, test=st.StatTests.wilcoxon)
nt.assert_almost_equal(results2.dist, 0.0, places=5)
nt.assert_almost_equal(results2.pvalue, 0.0, places=5)
def test_compare_two_error():
with pytest.raises(TypeError):
data = np.array([1., 1., 2., 2.])
data_same = np.array([1.0, 1.0, 2.0, 2.0])
results1 = st.compare_two(data, data_same, test='test')
def test_compare_two_wilcoxon():
results2 = st.compare_two(distr1, distr2, test=st.StatTests.wilcoxon)
assert_almost_equal(results2.dist, 0.0, decimal=5)
assert_almost_equal(results2.pvalue, 0.0, decimal=5)
