[9950] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[11375] | 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[9950] | 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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[11673] | 22 | using System;
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[9950] | 23 | using HeuristicLab.Analysis.Statistics;
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| 24 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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| 25 |
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| 26 | namespace Statistics.UnitTests {
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| 27 | [TestClass]
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| 28 | public class BonferroniHolmUnitTest {
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| 29 | [TestMethod]
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[11673] | 30 | public void BonferroniHolmUnitTest1() {
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[9950] | 31 | /* example taken from
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| 32 | * http://www.mathworks.com/matlabcentral/fileexchange/28303-bonferroni-holm-correction-for-multiple-comparisons
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| 33 | *
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[10017] | 34 | * p = 0.56, 0.22, 0.001, 0.04, 0.01
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| 35 | * a = 0.05
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| 36 | * cor_p = 0.560, 0.440, 0.005, 0.120, 0.040
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[9950] | 37 | * h = 0, 0, 1, 0, 1
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| 38 | *
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| 39 | */
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| 40 |
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| 41 | double[] correctedPValues = new double[] { 0.56, 0.44, 0.005, 0.12, 0.04 };
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| 42 | double[] pVals = new[] { 0.56, 0.22, 0.001, 0.04, 0.01 };
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| 43 | bool[] h = new bool[] { false, false, true, false, true };
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| 44 | bool[] decision;
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| 45 |
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| 46 | var result = BonferroniHolm.Calculate(0.05, pVals, out decision);
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| 47 |
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| 48 | for (int i = 0; i < pVals.Length; i++) {
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| 49 | Assert.AreEqual(correctedPValues[i], result[i]);
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| 50 | Assert.AreEqual(h[i], decision[i]);
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| 51 | }
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| 52 | }
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| 53 |
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| 54 | [TestMethod]
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[11673] | 55 | public void BonferroniHolmUnitTest2() {
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[9950] | 56 | /* example taken from
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| 57 | * http://en.wikipedia.org/wiki/Holm-Bonferroni_method#Example
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| 58 | *
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[10017] | 59 | * p = 0.01, 0.04, 0.03, 0.005
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| 60 | * a = 0.05
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| 61 | * cor_p = 0.03, 0.06, 0.06, 0.02
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[9950] | 62 | * h = 1, 0, 0, 1
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| 63 | *
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| 64 | */
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| 65 |
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[9951] | 66 | double[] correctedPValues = new double[] { 0.03, 0.06, 0.06, 0.02 };
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[9950] | 67 | double[] pVals = new[] { 0.01, 0.04, 0.03, 0.005 };
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| 68 | bool[] h = new bool[] { true, false, false, true };
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| 69 | bool[] decision;
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| 70 |
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[9951] | 71 | var result = BonferroniHolm.Calculate(0.05, pVals, out decision);
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[9950] | 72 |
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| 73 | for (int i = 0; i < pVals.Length; i++) {
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[9951] | 74 | Assert.AreEqual(correctedPValues[i], result[i]);
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[9950] | 75 | Assert.AreEqual(h[i], decision[i]);
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| 76 | }
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| 77 | }
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[11673] | 78 |
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| 79 | [TestMethod]
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| 80 | public void BonferroniHolmUnitTest3() {
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| 81 | // comparison with R's p.adjust(p, "holm") method
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| 82 | double[] correctedPValues = new double[] { 0.23262159, 0.05204139 };
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| 83 | double[] pVals = new[] { 0.232621592948806, 0.0260206949805373 };
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| 84 | bool[] decision;
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| 85 |
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| 86 | var result = BonferroniHolm.Calculate(0.05, pVals, out decision);
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| 87 |
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| 88 | for (int i = 0; i < pVals.Length; i++) {
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| 89 | Assert.AreEqual(correctedPValues[i], Math.Round(result[i], 8));
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| 90 | }
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| 91 | }
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| 92 |
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| 93 | [TestMethod]
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| 94 | public void BonferroniHolmUnitTest4() {
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| 95 | // comparison with R's p.adjust(p, "holm") method
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| 96 | double[] correctedPValues = new double[] { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
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| 97 | double[] pVals = new[] { 0.1108139, 0.1241641, 0.2805913, 0.3715633, 0.3967397, 0.6165547, 0.7272018, 0.8774432, 0.9495787, 0.9755199 };
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| 98 | bool[] decision;
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| 99 |
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| 100 | var result = BonferroniHolm.Calculate(0.05, pVals, out decision);
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| 101 |
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| 102 | for (int i = 0; i < pVals.Length; i++) {
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| 103 | Assert.AreEqual(correctedPValues[i], Math.Round(result[i], 8));
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| 104 | }
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| 105 | }
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| 106 |
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| 107 | [TestMethod]
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| 108 | public void BonferroniHolmUnitTest5() {
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| 109 | // comparison with R's p.adjust(p, "holm") method
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| 110 | double[] correctedPValues = new double[] { 1.389563e-05, 7.293675e-05, 2.330999e-04, 2.330999e-04, 4.370736e-04, 5.539326e-04 };
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| 111 | double[] pVals = new[] { 2.315938e-06, 1.458735e-05, 5.827497e-05, 7.166659e-05, 2.185368e-04, 5.539326e-04 };
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| 112 | bool[] decision;
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| 113 |
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| 114 | var result = BonferroniHolm.Calculate(0.05, pVals, out decision);
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| 115 |
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| 116 | for (int i = 0; i < pVals.Length; i++) {
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| 117 | Assert.AreEqual(Math.Round(correctedPValues[i], 10), Math.Round(result[i], 10));
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| 118 | }
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| 119 | }
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[9950] | 120 | }
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| 121 | }
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[11673] | 122 |
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