1 | // $Id: Averager.cc 1290 2008-05-09 11:44:25Z jari $ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2004, 2005 Jari Häkkinen, Peter Johansson |
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5 | Copyright (C) 2006 Jari Häkkinen, Markus Ringnér |
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6 | Copyright (C) 2007, 2008 Jari Häkkinen, Peter Johansson |
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7 | |
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8 | This file is part of the yat library, http://trac.thep.lu.se/yat |
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9 | |
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10 | The yat library is free software; you can redistribute it and/or |
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11 | modify it under the terms of the GNU General Public License as |
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12 | published by the Free Software Foundation; either version 2 of the |
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13 | License, or (at your option) any later version. |
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14 | |
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15 | The yat library is distributed in the hope that it will be useful, |
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16 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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17 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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18 | General Public License for more details. |
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19 | |
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20 | You should have received a copy of the GNU General Public License |
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21 | along with this program; if not, write to the Free Software |
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22 | Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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23 | 02111-1307, USA. |
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24 | */ |
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25 | |
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26 | #include "Averager.h" |
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27 | |
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28 | #include <cassert> |
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29 | #include <limits> |
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30 | |
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31 | namespace theplu { |
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32 | namespace yat { |
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33 | namespace statistics { |
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34 | |
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35 | Averager::Averager(void) |
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36 | : n_(0), x_(0), xx_(0) |
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37 | { |
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38 | } |
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39 | |
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40 | Averager::Averager(double x, double xx, long n) |
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41 | : n_(n), x_(x), xx_(xx) |
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42 | { |
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43 | } |
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44 | |
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45 | Averager::Averager(const Averager& a) |
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46 | : n_(a.n_), x_(a.x_), xx_(a.xx_) |
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47 | { |
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48 | } |
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49 | |
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50 | void Averager::add(double d, long n) |
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51 | { |
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52 | assert(!std::isnan(d)); |
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53 | n_ += n; |
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54 | assert(n>-1); |
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55 | x_ += n*d; |
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56 | xx_ += n*d*d; |
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57 | } |
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58 | |
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59 | double Averager::cv(void) const |
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60 | { |
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61 | return std()/mean(); |
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62 | } |
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63 | |
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64 | double Averager::mean(void) const |
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65 | { |
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66 | return x_/n_; |
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67 | } |
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68 | |
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69 | long Averager::n(void) const |
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70 | { |
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71 | return n_; |
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72 | } |
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73 | |
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74 | void Averager::rescale(double a) |
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75 | { |
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76 | x_ *= a; |
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77 | xx_ *= a*a; |
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78 | } |
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79 | |
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80 | void Averager::reset(void) |
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81 | { |
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82 | n_=0; |
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83 | x_=xx_=0.0; |
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84 | } |
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85 | |
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86 | double Averager::standard_error(void) const |
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87 | { |
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88 | return sqrt(variance()/n_); |
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89 | } |
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90 | |
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91 | double Averager::std(void) const |
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92 | { |
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93 | return sqrt(variance()); |
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94 | } |
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95 | |
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96 | double Averager::std(double m) const |
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97 | { |
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98 | return sqrt(variance(m)); |
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99 | } |
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100 | |
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101 | double Averager::sum_x(void) const |
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102 | { |
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103 | return x_; |
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104 | } |
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105 | |
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106 | double Averager::sum_xx(void) const |
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107 | { |
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108 | return xx_; |
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109 | } |
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110 | |
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111 | double Averager::sum_xx_centered(void) const |
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112 | { |
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113 | return xx_-x_*x_/n_; |
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114 | } |
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115 | |
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116 | double Averager::variance(double m) const |
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117 | { |
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118 | return (xx_ - 2*m*x_ + m*m*n()) /n_; |
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119 | } |
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120 | |
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121 | double Averager::variance(void) const |
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122 | { |
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123 | return sum_xx_centered()/n_; |
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124 | } |
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125 | |
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126 | double Averager::variance_unbiased(void) const |
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127 | { |
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128 | return (n_>1) ? sum_xx_centered()/(n_-1) : |
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129 | std::numeric_limits<double>::quiet_NaN(); |
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130 | } |
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131 | |
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132 | const Averager& Averager::operator=(const Averager& a) |
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133 | { |
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134 | n_ = a.n_; |
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135 | x_ = a.x_; |
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136 | xx_ = a.xx_; |
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137 | return *this; |
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138 | } |
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139 | |
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140 | const Averager& Averager::operator+=(const Averager& a) |
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141 | { |
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142 | n_+=a.n_; |
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143 | x_+=a.x_; |
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144 | xx_+=a.xx_; |
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145 | return *this; |
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146 | } |
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147 | |
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148 | }}} // of namespace statistics, yat, and theplu |
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