def _welch_anova(self, dv=None, between=None, export_filename=None):
"""Return one-way Welch ANOVA."""
aov = welch_anova(data=self,
dv=dv,
between=between,
export_filename=export_filename)
return aov
def test_welch_anova(self):
"""Test function welch_anova."""
# Pain dataset
df_pain = read_dataset('anova')
aov = welch_anova(dv='Pain threshold', between='Hair color',
data=df_pain, export_filename='test_export.csv')
# Compare with R oneway.test function
assert aov.loc[0, 'ddof1'] == 3
assert np.allclose(aov.loc[0, 'ddof2'], 8.330)
assert np.allclose(aov.loc[0, 'F'], 5.890)
assert np.allclose(np.round(aov.loc[0, 'p-unc'], 4), .0188)
def test_welch_anova(self):
"""Test function welch_anova."""
# Pain dataset
df_pain = read_dataset('anova')
aov = welch_anova(dv='Pain threshold', between='Hair color',
data=df_pain).round(4)
# Compare with JASP
assert aov.at[0, 'ddof1'] == 3
assert aov.at[0, 'ddof2'] == 8.3298
assert aov.at[0, 'F'] == 5.8901
assert aov.at[0, 'p-unc'] == .0188
assert aov.at[0, 'np2'] == 0.5760
