class TestANOVA(): """ Tests ANOVA difference in means """ def __init__(self): self.data = star98.load().exog[:30, 1:3] self.res1 = ANOVA([self.data[:, 0], self.data[:, 1]]) self.res2 = ANOVAResults() def test_anova(self): assert_almost_equal(self.res1.compute_ANOVA()[:2], self.res2.compute_ANOVA[:2], 4) assert_almost_equal(self.res1.compute_ANOVA()[2], self.res2.compute_ANOVA[2], 4) assert_almost_equal( self.res1.compute_ANOVA(return_weights=1)[3], self.res2.compute_ANOVA[3], 4)
class TestANOVA(): """ Tests ANOVA difference in means """ def __init__(self): self.data = star98.load().exog[:30, 1:3] self.res1 = ANOVA([self.data[:, 0], self.data[:, 1]]) self.res2 = ANOVAResults() def test_anova(self): assert_almost_equal(self.res1.compute_ANOVA()[:2], self.res2.compute_ANOVA[:2], 4) assert_almost_equal(self.res1.compute_ANOVA()[2], self.res2.compute_ANOVA[2], 4) assert_almost_equal(self.res1.compute_ANOVA(return_weights=1)[3], self.res2.compute_ANOVA[3], 4)
def setup_class(cls): cls.data = star98.load(as_pandas=False).exog[:30, 1:3] cls.res1 = ANOVA([cls.data[:, 0], cls.data[:, 1]]) cls.res2 = ANOVAResults()
def setup_class(cls): cls.data = np.asarray(star98.load().exog)[:30, 1:3] cls.res1 = ANOVA([cls.data[:, 0], cls.data[:, 1]]) cls.res2 = ANOVAResults()
def __init__(self): self.data = star98.load().exog[:30, 1:3] self.res1 = ANOVA([self.data[:, 0], self.data[:, 1]]) self.res2 = ANOVAResults()
def __init__(self): self.data = star98.load().exog[:30, 1:3] self.res1 = ANOVA([self.data[:, 0], self.data[:, 1]]) self.res2 = ANOVAResults()