53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
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# scipy-yli: Helpful SciPy utilities and recipes
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# Copyright © 2022 Lee Yingtong Li (RunasSudo)
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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#
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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from pytest import approx
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import pandas as pd
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import statsmodels.api as sm
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import yli
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def test_anova_oneway_ol8_2():
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"""Compare yli.anova_oneway for Ott & Longnecker (2016) example 8.2"""
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df = pd.DataFrame({
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'Method': [1]*8 + [2]*7 + [3]*9,
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'Score': [96, 79, 91, 85, 83, 91, 82, 87, 77, 76, 74, 73, 78, 71, 80, 66, 73, 69, 66, 77, 73, 71, 70, 74]
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})
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result = yli.anova_oneway(df, 'Score', 'Method')
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assert result.statistic == approx(545.316/18.4366, rel=0.001)
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assert result.dof1 == 2
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assert result.dof2 == 21
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assert result.pvalue < 0.001
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def test_regress_ftest_ol8_2():
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"""Compare ANOVA via yli.regress for Ott & Longnecker (2016) example 8.2"""
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df = pd.DataFrame({
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'Method': [1]*8 + [2]*7 + [3]*9,
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'Score': [96, 79, 91, 85, 83, 91, 82, 87, 77, 76, 74, 73, 78, 71, 80, 66, 73, 69, 66, 77, 73, 71, 70, 74]
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})
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result = yli.regress(sm.OLS, df, 'Score', 'C(Method)').ftest()
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assert result.statistic == approx(545.316/18.4366, rel=0.001)
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assert result.dof1 == 2
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assert result.dof2 == 21
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assert result.pvalue < 0.001
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