scipy-yli/tests/test_mannwhitney.py

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2022-10-13 13:14:51 +11:00
# scipy-yli: Helpful SciPy utilities and recipes
# Copyright © 2022 Lee Yingtong Li (RunasSudo)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
from pytest import approx
import numpy as np
import pandas as pd
import yli
def test_mannwhitney_ol6_6():
"""Compare yli.mannwhitney for Ott & Longnecker (2016) example 6.6"""
df = pd.DataFrame({
'Sample': ['Before'] * 12 + ['After'] * 12,
'Oxygen': [11.0, 11.2, 11.2, 11.2, 11.4, 11.5, 11.6, 11.7, 11.8, 11.9, 11.9, 12.1, 10.2, 10.3, 10.4, 10.6, 10.6, 10.7, 10.8, 10.8, 10.9, 11.1, 11.1, 11.3]
})
result = yli.mannwhitney(df, 'Oxygen', 'Sample', method='asymptotic', alternative='less')
assert result.pvalue == approx(0.00007, abs=0.00001)
expected_summary = ''' After Before
Median (IQR) 10.75 (10.5510.95) 11.55 (11.2011.83)
Median (range) 10.75 (11.0012.10) 11.55 (11.0012.10)
U = 6.0; p < 0.001*
r = 0.92, Before > After'''
assert result.summary() == expected_summary