1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Linq;
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24 | using HeuristicLab.Common;
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25 |
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26 | namespace HeuristicLab.Analysis.Statistics {
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27 | public class TTest {
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28 | public static double Test(double[] data1, double[] data2) {
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29 | double left, right, both;
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30 | alglib.studentttest2(data1, data1.Length, data2, data2.Length, out both, out left, out right);
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31 | return both;
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32 | }
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33 |
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34 | public static double GetOptimalSampleSize(double[] data1, double[] data2, double conf = 0.95) {
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35 | double result = 0.0;
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36 | double t = alglib.invstudenttdistribution(data1.Length * 2 - 2, conf);
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37 |
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38 | double m1 = data1.Average();
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39 | double m2 = data2.Average();
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40 | double s1 = data1.StandardDeviation();
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41 | double s2 = data2.StandardDeviation();
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42 |
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43 | result = Math.Pow(t, 2) * (Math.Pow(s1, 2) + Math.Pow(s2, 2)) / Math.Pow(m1 - m2, 2);
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44 | return Math.Ceiling(result);
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45 | }
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46 | }
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47 | }
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