def test_kruskal(self):
"""Test function kruskal"""
x_nan = x.copy()
x_nan[10] = np.nan
df = pd.DataFrame({'DV': np.r_[x_nan, y, z],
'Group': np.repeat(['A', 'B', 'C'], 100)})
kruskal(data=df, dv='DV', between='Group')
summary = kruskal(data=df, dv='DV', between='Group')
# Compare with SciPy built-in function
H, p = scipy.stats.kruskal(x_nan, y, z, nan_policy='omit')
assert np.isclose(H, summary.at['Kruskal', 'H'])
assert np.allclose(p, summary.at['Kruskal', 'p-unc'])
def test_kruskal(self):
"""Test function kruskal"""
x[10] = np.nan
df = pd.DataFrame({'DV': np.r_[x, y, z],
'Group': np.repeat(['A', 'B', 'C'], 100)})
kruskal(data=df, dv='DV', between='Group')
summary = kruskal(data=df, dv='DV', between='Group',
export_filename='test_export.csv')
# Compare with SciPy built-in function
from scipy import stats
H, p = stats.kruskal(x, y, z, nan_policy='omit')
assert np.allclose(np.round(H, 3), summary['H']['Kruskal'])
assert np.allclose(p, summary['p-unc']['Kruskal'])
