1 | // $Id: Fisher.cc 2919 2012-12-19 06:54:23Z peter $ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2004 Jari Häkkinen, Peter Johansson |
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5 | Copyright (C) 2005 Peter Johansson |
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6 | Copyright (C) 2006, 2007, 2008 Jari Häkkinen, Peter Johansson |
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7 | Copyright (C) 2009, 2010, 2011, 2012 Peter Johansson |
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8 | |
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9 | This file is part of the yat library, http://dev.thep.lu.se/yat |
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10 | |
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11 | The yat library is free software; you can redistribute it and/or |
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12 | modify it under the terms of the GNU General Public License as |
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13 | published by the Free Software Foundation; either version 3 of the |
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14 | License, or (at your option) any later version. |
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15 | |
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16 | The yat library is distributed in the hope that it will be useful, |
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17 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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18 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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19 | General Public License for more details. |
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20 | |
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21 | You should have received a copy of the GNU General Public License |
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22 | along with yat. If not, see <http://www.gnu.org/licenses/>. |
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23 | */ |
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24 | |
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25 | #include <config.h> |
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26 | |
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27 | #include "Fisher.h" |
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28 | #include "utility.h" |
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29 | |
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30 | #include "yat/utility/Exception.h" |
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31 | |
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32 | #include <gsl/gsl_cdf.h> |
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33 | #include <gsl/gsl_randist.h> |
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34 | |
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35 | #include <algorithm> |
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36 | #include <cassert> |
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37 | |
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38 | namespace theplu { |
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39 | namespace yat { |
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40 | namespace statistics { |
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41 | |
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42 | |
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43 | Fisher::Fisher() |
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44 | : a_(0), b_(0), c_(0), d_(0), minimum_size_(10), oddsratio_(1.0) |
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45 | { |
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46 | } |
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47 | |
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48 | |
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49 | Fisher::~Fisher() |
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50 | { |
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51 | } |
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52 | |
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53 | |
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54 | bool Fisher::calculate_p_exact(void) const |
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55 | { |
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56 | return ( a_<minimum_size_ || b_<minimum_size_ || |
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57 | c_<minimum_size_ || d_<minimum_size_); |
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58 | } |
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59 | |
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60 | double Fisher::Chi2() const |
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61 | { |
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62 | double a,b,c,d; |
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63 | expected(a,b,c,d); |
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64 | return (a-a_)*(a-a_)/a + (b-b_)*(b-b_)/b + |
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65 | (c-c_)*(c-c_)/c + (d-d_)*(d-d_)/d; |
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66 | } |
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67 | |
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68 | |
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69 | void Fisher::expected(double& a, double& b, double& c, double& d) const |
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70 | { |
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71 | // use floting point arithmetic to avoid overflow |
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72 | double a1 = a_; |
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73 | double b1 = b_; |
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74 | double c1 = c_; |
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75 | double d1 = d_; |
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76 | double N = a1 + b1 + c1 + d1; |
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77 | a =((a1+b1)*(a1+c1)) / N; |
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78 | b =((a1+b1)*(b1+d1)) / N; |
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79 | c =((c1+d1)*(a1+c1)) / N; |
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80 | d =((c1+d1)*(b1+d1)) / N; |
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81 | } |
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82 | |
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83 | |
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84 | unsigned int& Fisher::minimum_size(void) |
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85 | { |
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86 | return minimum_size_; |
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87 | } |
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88 | |
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89 | |
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90 | const unsigned int& Fisher::minimum_size(void) const |
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91 | { |
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92 | return minimum_size_; |
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93 | } |
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94 | |
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95 | |
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96 | double Fisher::oddsratio(const unsigned int a, |
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97 | const unsigned int b, |
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98 | const unsigned int c, |
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99 | const unsigned int d) |
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100 | { |
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101 | // If a column sum or a row sum is zero, the table is nonsense |
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102 | if ((a==0 || d==0) && (c==0 || b==0)){ |
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103 | throw utility::runtime_error("Table in Fisher is not valid\n"); |
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104 | } |
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105 | a_ = a; |
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106 | b_ = b; |
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107 | c_ = c; |
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108 | d_ = d; |
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109 | |
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110 | oddsratio_= (static_cast<double>(a) / static_cast<double>(b) * |
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111 | static_cast<double>(d) / static_cast<double>(c) ); |
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112 | return oddsratio_; |
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113 | } |
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114 | |
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115 | |
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116 | double Fisher::oddsratio(void) const |
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117 | { |
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118 | return oddsratio_; |
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119 | } |
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120 | |
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121 | |
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122 | double Fisher::p_value() const |
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123 | { |
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124 | if (calculate_p_exact()) |
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125 | return p_value_exact(); |
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126 | return p_value_approximative(); |
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127 | } |
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128 | |
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129 | |
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130 | double Fisher::p_value_one_sided() const |
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131 | { |
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132 | if (!calculate_p_exact()) { |
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133 | if (oddsratio_<1.0) |
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134 | return 1.0-p_value_approximative()/2.0; |
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135 | return p_value_approximative()/2.0; |
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136 | } |
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137 | // check for overflow |
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138 | assert(c_ <= c_+d_ && d_ <= c_+d_); |
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139 | assert(a_ <= a_+b_ && b_ <= a_+b_); |
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140 | assert(a_ <= a_+c_ && c_ <= a_+c_); |
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141 | |
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142 | return statistics::cdf_hypergeometric_P(c_, c_+d_, a_+b_, a_+c_); |
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143 | } |
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144 | |
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145 | |
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146 | double Fisher::p_value_approximative() const |
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147 | { |
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148 | return gsl_cdf_chisq_Q(Chi2(), 1.0); |
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149 | } |
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150 | |
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151 | double Fisher::p_value_exact() const |
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152 | { |
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153 | double res=0; |
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154 | double a, c, tmp; |
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155 | expected(a, tmp, c, tmp); |
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156 | // sum P(x) over x for which abs(x-E(a))>=abs(a-E(a)) |
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157 | |
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158 | // counting left tail |
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159 | int k = static_cast<int>(a - std::abs(a_-a)); |
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160 | if (k>=0) |
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161 | res = cdf_hypergeometric_P(k, a_+b_, c_+d_, a_+c_); |
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162 | // counting right tail |
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163 | k = static_cast<int>(c - std::abs(c_-c)); |
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164 | if (k>=0) |
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165 | res += cdf_hypergeometric_P(k, c_+d_, a_+b_, a_+c_); |
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166 | |
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167 | // avoid p>1 due to double counting middle one |
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168 | return std::min(1.0, res); |
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169 | } |
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170 | |
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171 | }}} // of namespace statistics, yat, and theplu |
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