1 | // $Id: AveragerPair.cc 1487 2008-09-10 08:41:36Z 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, Peter Johansson, 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://dev.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 3 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 yat. If not, see <http://www.gnu.org/licenses/>. |
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22 | */ |
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23 | |
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24 | #include "AveragerPair.h" |
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25 | #include "Averager.h" |
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26 | |
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27 | #include <cassert> |
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28 | #include <utility> |
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29 | |
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30 | namespace theplu { |
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31 | namespace yat { |
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32 | namespace statistics { |
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33 | |
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34 | AveragerPair::AveragerPair(void) |
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35 | : x_(Averager()), y_(Averager()), xy_(0.0) |
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36 | { |
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37 | } |
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38 | |
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39 | AveragerPair::AveragerPair(const AveragerPair& a) |
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40 | : x_(a.x_averager()), y_(a.y_averager()), xy_(a.sum_xy()) |
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41 | { |
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42 | } |
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43 | |
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44 | void AveragerPair::add(const double x, const double y, const long n) |
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45 | { |
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46 | x_.add(x,n); y_.add(y,n); xy_ += n*x*y; |
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47 | } |
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48 | |
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49 | double AveragerPair::ccc(void) const |
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50 | { |
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51 | return ((2*covariance()) / |
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52 | ((x_.variance()+y_.variance()) + |
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53 | (x_.mean()-y_.mean())*(x_.mean()-y_.mean()))); |
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54 | } |
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55 | |
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56 | double AveragerPair::correlation(void) const |
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57 | { return covariance() / std::sqrt(x_.variance()*y_.variance()); |
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58 | } |
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59 | |
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60 | double AveragerPair::covariance(void) const |
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61 | { |
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62 | return (xy_ - x_.sum_x()*y_.mean()) / n(); |
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63 | } |
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64 | |
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65 | double AveragerPair::mean_xy(void) const |
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66 | { |
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67 | return xy_/n(); |
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68 | } |
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69 | |
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70 | double AveragerPair::msd(void) const |
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71 | { |
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72 | return sum_squared_deviation()/n(); |
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73 | } |
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74 | |
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75 | long AveragerPair::n(void) const |
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76 | { |
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77 | return x_.n(); |
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78 | } |
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79 | |
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80 | void AveragerPair::reset(void) |
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81 | { |
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82 | x_.reset(); y_.reset(); xy_=0.0; |
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83 | } |
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84 | |
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85 | const AveragerPair& AveragerPair::operator=(const AveragerPair& a) |
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86 | { |
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87 | x_=a.x_; y_=a.y_; xy_=a.xy_; |
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88 | return *this; |
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89 | } |
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90 | |
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91 | double AveragerPair::sum_squared_deviation(void) const |
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92 | { |
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93 | return x_averager().sum_xx()+y_averager().sum_xx()-2*sum_xy() ; |
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94 | } |
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95 | |
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96 | double AveragerPair::sum_xy(void) const |
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97 | { |
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98 | return xy_; |
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99 | } |
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100 | |
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101 | double AveragerPair::sum_xy_centered(void) const |
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102 | { |
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103 | return xy_-x_.sum_x()*y_.mean(); |
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104 | } |
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105 | |
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106 | const Averager& AveragerPair::x_averager(void) const |
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107 | { |
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108 | return x_; |
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109 | } |
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110 | |
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111 | const Averager& AveragerPair::y_averager(void) const |
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112 | { |
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113 | return y_; |
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114 | } |
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115 | |
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116 | const AveragerPair& AveragerPair::operator+=(const AveragerPair& a) |
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117 | { |
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118 | x_+=a.x_averager(); |
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119 | y_+=a.y_averager(); |
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120 | xy_+=a.sum_xy(); |
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121 | return *this; |
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122 | } |
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123 | |
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124 | }}} // of namespace statistics, yat, and theplu |
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