1 | // $Id: Histogram.cc 1271 2008-04-09 16:11:07Z peter $ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2004 Jari Häkkinen |
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5 | Copyright (C) 2005 Peter Johansson |
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6 | Copyright (C) 2006 Jari Häkkinen |
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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 "Histogram.h" |
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27 | |
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28 | #include <cmath> |
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29 | #include <fstream> |
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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 | |
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36 | Histogram::Histogram(void) |
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37 | : xmax_(0), xmin_(0), sum_all_(), sum_histogram_() |
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38 | { |
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39 | } |
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40 | |
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41 | |
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42 | Histogram::Histogram(const Histogram& b) |
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43 | { |
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44 | *this=b; |
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45 | } |
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46 | |
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47 | |
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48 | Histogram::Histogram(const double min, const double max, const size_t n) |
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49 | : histogram_(std::vector<double>(n,0.0)), |
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50 | xmax_(max), xmin_(min), |
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51 | sum_all_(), sum_histogram_() |
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52 | { |
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53 | } |
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54 | |
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55 | |
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56 | Histogram::~Histogram(void) |
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57 | { |
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58 | } |
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59 | |
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60 | |
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61 | int Histogram::add(const double x, const double w) |
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62 | { |
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63 | sum_all_.add(x,w); |
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64 | if (x<xmin_) |
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65 | return -1; |
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66 | else if (x>=xmax_) |
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67 | return 1; |
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68 | |
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69 | sum_histogram_.add(x,w); |
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70 | histogram_[bin(x)] += w; |
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71 | return 0; |
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72 | } |
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73 | |
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74 | |
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75 | const AveragerWeighted& Histogram::averager_all(void) const |
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76 | { |
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77 | return sum_all_; |
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78 | } |
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79 | |
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80 | |
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81 | const AveragerWeighted& Histogram::averager_histogram(void) const |
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82 | { |
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83 | return sum_histogram_; |
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84 | } |
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85 | |
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86 | |
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87 | size_t Histogram::bin(double d) |
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88 | { |
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89 | return (((d<xmin_) || (d>xmax_)) ? 0 : |
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90 | static_cast<size_t>(floor((d-xmin_)/spacing() ))); |
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91 | } |
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92 | |
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93 | |
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94 | size_t Histogram::nof_bins(void) const |
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95 | { |
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96 | return histogram_.size(); |
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97 | } |
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98 | |
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99 | |
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100 | void Histogram::normalize(bool choice) |
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101 | { |
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102 | double scale_factor; |
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103 | if (choice) |
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104 | scale_factor = sum_all_.sum_w(); |
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105 | else |
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106 | scale_factor = sum_all_.sum_w()*spacing(); |
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107 | for (size_t i=0; i<histogram_.size(); i++) |
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108 | histogram_[i]/=scale_factor; |
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109 | } |
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110 | |
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111 | |
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112 | double Histogram::observation_value(const size_t k) const |
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113 | { |
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114 | return xmin_+spacing()*(k+0.5); |
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115 | } |
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116 | |
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117 | |
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118 | void Histogram::reset(void) |
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119 | { |
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120 | for (size_t i=0; i<histogram_.size(); i++) |
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121 | histogram_[i]=0; |
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122 | sum_all_.reset(); |
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123 | sum_histogram_.reset(); |
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124 | } |
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125 | |
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126 | |
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127 | double Histogram::spacing(void) const |
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128 | { |
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129 | return (xmax_-xmin_)/nof_bins(); |
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130 | } |
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131 | |
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132 | |
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133 | double Histogram::xmax(void) const |
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134 | { |
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135 | return xmax_; |
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136 | } |
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137 | |
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138 | |
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139 | double Histogram::xmin(void) const |
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140 | { |
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141 | return xmin_; |
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142 | } |
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143 | |
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144 | |
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145 | double Histogram::operator[](size_t k) const |
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146 | { |
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147 | return histogram_[k]; |
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148 | } |
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149 | |
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150 | |
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151 | const Histogram& Histogram::operator=(const Histogram& b) |
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152 | { |
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153 | if (this==&b) |
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154 | return *this; |
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155 | histogram_=b.histogram_; |
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156 | xmax_=b.xmax_; |
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157 | xmin_=b.xmin_; |
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158 | sum_all_=b.sum_all_; |
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159 | sum_histogram_=b.sum_histogram_; |
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160 | return *this; |
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161 | } |
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162 | |
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163 | |
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164 | std::ostream& operator<<(std::ostream& s,const Histogram& histogram) |
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165 | { |
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166 | s << "# histogram min : " << histogram.xmin() << '\n'; |
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167 | s << "# histogram max : " << histogram.xmax() << '\n'; |
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168 | s << "# number of bins: " << histogram.nof_bins() << '\n'; |
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169 | s << "# nof points in histogram : " |
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170 | << histogram.averager_histogram().sum_w() << '\n'; |
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171 | s << "# nof points in total: " |
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172 | << histogram.averager_all().sum_w() << '\n'; |
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173 | s << "# column 1: center of observation bin\n" |
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174 | << "# column 2: frequency\n"; |
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175 | |
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176 | for (size_t i=0; i<histogram.nof_bins(); i++) { |
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177 | s.width(12); |
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178 | s << histogram.observation_value(i); |
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179 | s.width(12); |
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180 | s << histogram[i] << '\n'; |
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181 | } |
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182 | |
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183 | return s; |
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184 | } |
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185 | |
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186 | }}} // of namespace statistics, yat, and theplu |
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