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source: branches/StatisticalTesting/HeuristicLab.Analysis.Statistics/3.3/TTest.cs @ 10635

Last change on this file since 10635 was 9706, checked in by ascheibe, 11 years ago

#2031

  • added exponential fitting
  • added logarithmic fitting
  • refactored fitting code
  • updated license headers
File size: 1.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Linq;
24using HeuristicLab.Common;
25
26namespace HeuristicLab.Analysis.Statistics {
27  public class TTest {
28    public static double Test(double[] data1, double[] data2) {
29      double left, right, both;
30      alglib.studentttest2(data1, data1.Length, data2, data2.Length, out both, out left, out right);
31      return both;
32    }
33
34    public static double GetOptimalSampleSize(double[] data1, double[] data2, double conf = 0.95) {
35      double result = 0.0;
36      double t = alglib.invstudenttdistribution(data1.Length * 2 - 2, conf);
37
38      double m1 = data1.Average();
39      double m2 = data2.Average();
40      double s1 = data1.StandardDeviation();
41      double s2 = data2.StandardDeviation();
42
43      result = Math.Pow(t, 2) * (Math.Pow(s1, 2) + Math.Pow(s2, 2)) / Math.Pow(m1 - m2, 2);
44      return Math.Ceiling(result);
45    }
46  }
47}
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