proactive strategy anova
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anova.py
4
anova.py
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@ -147,7 +147,9 @@ if __name__ == '__main__':
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result.drop('idx_scenario', 1, inplace=True)
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result.drop('idx_scenario', 1, inplace=True)
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df_oa = pd.read_csv("oa_with_exp.csv", index_col=None)
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df_oa = pd.read_csv("oa_with_exp.csv", index_col=None)
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result = pd.concat(
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result = pd.concat(
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[result.iloc[:, 0:10], df_oa.iloc[:, -4:], result.iloc[:, -2:]], axis=1)
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[result.iloc[:, 0:10],
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df_oa.iloc[:, -4:],
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result.iloc[:, -2:]], axis=1)
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result.to_csv('analysis\\experiment_result.csv')
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result.to_csv('analysis\\experiment_result.csv')
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# 9 factors (X), 4 for error (E), and 2 indicators (Y)
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# 9 factors (X), 4 for error (E), and 2 indicators (Y)
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