proactive strategy anova
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							|  | @ -147,10 +147,10 @@ if __name__ == '__main__': | ||||||
|     result.drop('idx_scenario', 1, inplace=True) |     result.drop('idx_scenario', 1, inplace=True) | ||||||
|     df_oa = pd.read_csv("oa_with_exp.csv", index_col=None) |     df_oa = pd.read_csv("oa_with_exp.csv", index_col=None) | ||||||
|     result = pd.concat( |     result = pd.concat( | ||||||
|         [result.iloc[:, 0:9], df_oa.iloc[:, -4:], result.iloc[:, -2:]], axis=1) |         [result.iloc[:, 0:10], df_oa.iloc[:, -4:], result.iloc[:, -2:]], axis=1) | ||||||
|     result.to_csv('analysis\\experiment_result.csv') |     result.to_csv('analysis\\experiment_result.csv') | ||||||
| 
 | 
 | ||||||
|     # 9 factors (X), 4 for error (E), and 2 indicators (Y) |     # 9 factors (X), 4 for error (E), and 2 indicators (Y) | ||||||
|     the_lst_col_seg = [9, 4, 2] |     the_lst_col_seg = [10, 3, 2] | ||||||
|     the_n_level = 3 |     the_n_level = 3 | ||||||
|     anova(the_lst_col_seg, the_n_level, "oa25.txt", result, 0.1) |     anova(the_lst_col_seg, the_n_level, "oa25.txt", result, 0.1) | ||||||
|  |  | ||||||
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