1 | // $Id: fisher.cc 3004 2013-03-24 00:51:14Z peter $ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2008, 2009, 2010, 2012 Peter Johansson |
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5 | |
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6 | This file is part of the yat library, http://dev.thep.lu.se/yat |
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7 | |
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8 | The yat library is free software; you can redistribute it and/or |
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9 | modify it under the terms of the GNU General Public License as |
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10 | published by the Free Software Foundation; either version 3 of the |
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11 | License, or (at your option) any later version. |
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12 | |
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13 | The yat library is distributed in the hope that it will be useful, |
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14 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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15 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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16 | General Public License for more details. |
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17 | |
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18 | You should have received a copy of the GNU General Public License |
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19 | along with yat. If not, see <http://www.gnu.org/licenses/>. |
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20 | */ |
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21 | |
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22 | #include <config.h> |
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23 | |
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24 | #include "Suite.h" |
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25 | |
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26 | #include "yat/statistics/Fisher.h" |
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27 | |
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28 | #include <climits> |
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29 | |
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30 | using namespace theplu::yat; |
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31 | void test_p_value(test::Suite&); |
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32 | void test_p_value_approximative(test::Suite&); |
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33 | void test_p_value_exact(test::Suite&); |
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34 | void test_large_numbers(test::Suite&); |
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35 | |
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36 | int main(int argc, char* argv[]) |
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37 | { |
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38 | test::Suite suite(argc, argv); |
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39 | |
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40 | statistics::Fisher f; |
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41 | if (!suite.equal(f.oddsratio(1,4,5,1), 0.05)) { |
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42 | suite.add(false); |
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43 | suite.err() << "oddsratio failed\n"; |
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44 | } |
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45 | double a, b, c, d; |
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46 | f.expected(a,b,c,d); |
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47 | if (!suite.equal(a, 30.0/11.0)) { |
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48 | suite.add(false); |
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49 | suite.err() << "expected a failed\n"; |
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50 | } |
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51 | if (!suite.equal(b, 25.0/11.0)) { |
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52 | suite.add(false); |
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53 | suite.err() << "expected b failed\n"; |
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54 | } |
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55 | if (!suite.equal(c, 36.0/11.0)) { |
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56 | suite.add(false); |
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57 | suite.err() << "expected c failed\n"; |
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58 | } |
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59 | if (!suite.equal(d, 30.0/11.0)) { |
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60 | suite.add(false); |
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61 | suite.err() << "expected d failed\n"; |
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62 | } |
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63 | if (!suite.equal(f.Chi2(), 4.4122222222222222222222)) { |
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64 | suite.add(false); |
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65 | suite.err() << "Chi2 failed\n"; |
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66 | } |
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67 | if (!suite.equal(f.minimum_size(),10)) { |
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68 | suite.add(false); |
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69 | suite.err() << "minimum_size failed\n"; |
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70 | } |
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71 | test_p_value(suite); |
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72 | test_large_numbers(suite); |
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73 | return suite.return_value(); |
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74 | } |
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75 | |
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76 | |
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77 | void test_large_numbers(test::Suite& suite) |
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78 | { |
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79 | // skip test if unsigned int is 16 bit |
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80 | if ((UINT_MAX >> 16) == 0) { |
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81 | suite.out() << "skipping test_large_numbers\n"; |
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82 | return; |
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83 | } |
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84 | |
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85 | statistics::Fisher f; |
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86 | double oddsratio = f.oddsratio(1166,63326825-1166,1095,66074759-1095); |
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87 | if (oddsratio<0.5 || oddsratio>2) { |
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88 | suite.err() << "oddsratio: " << oddsratio << "\n"; |
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89 | suite.err() << "expected ~ 1\n"; |
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90 | suite.add(false); |
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91 | } |
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92 | suite.add(suite.equal_fix(f.p_value(), 0.0123, 0.0001)); |
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93 | f.p_left(); |
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94 | f.p_right(); |
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95 | } |
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96 | |
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97 | |
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98 | void test_p_value(test::Suite& suite) |
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99 | { |
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100 | test_p_value_exact(suite); |
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101 | test_p_value_approximative(suite); |
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102 | } |
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103 | |
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104 | |
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105 | void test_p_value_approximative(test::Suite& suite) |
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106 | { |
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107 | suite.err() << "testing p_value_approximative\n"; |
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108 | statistics::Fisher f; |
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109 | f.minimum_size() = 0; |
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110 | f.oddsratio(10,20,20,50); |
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111 | // oddsratio 1.25 > 1 so p = 2*p_right |
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112 | suite.add(suite.equal(f.p_value(), 2*f.p_right())); |
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113 | f.oddsratio(10,20,10,20); |
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114 | suite.add(suite.equal(f.p_value(), 1.0)); |
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115 | suite.add(suite.equal(f.p_right(), 0.5)); |
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116 | suite.add(suite.equal(f.p_left(), 0.5)); |
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117 | } |
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118 | |
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119 | |
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120 | void test_p_value_exact(test::Suite& suite) |
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121 | { |
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122 | suite.err() << "test p_value_exact\n"; |
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123 | statistics::Fisher f; |
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124 | f.minimum_size() = 1000; |
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125 | f.oddsratio(10,20,10,20); |
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126 | suite.add(suite.equal(f.p_value(), 1.0)); |
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127 | |
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128 | f.oddsratio(10, 20, 20, 200); |
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129 | suite.add(suite.equal_fix(f.p_value(), 0.000811906062767622,1e-16)); |
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130 | suite.add(suite.equal_fix(f.p_right(), 0.000811906062767622,1e-16)); |
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131 | |
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132 | // testing symmetry |
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133 | statistics::Fisher f2; |
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134 | f2.minimum_size() = 1000; |
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135 | f2.oddsratio(20, 200, 10, 20); |
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136 | suite.add(suite.equal(f2.p_value(), f.p_value())); |
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137 | suite.add(suite.equal(f2.p_left(), f.p_right())); |
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138 | |
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139 | f.oddsratio(1, 1, 1, 2); |
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140 | suite.add(suite.equal(f.p_value(), 1.0, 2)); |
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141 | suite.add(suite.equal(f.p_right(), 0.7)); |
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142 | suite.add(suite.equal(f.p_left(), 0.9)); |
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143 | |
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144 | f.oddsratio(1, 1, 2, 1); |
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145 | suite.add(suite.equal(f.p_value(), 1.0, 2)); |
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146 | suite.add(suite.equal(f.p_right(), 0.9)); |
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147 | suite.add(suite.equal(f.p_left(), 0.7)); |
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148 | } |
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