1 | // $Id: Averager.h 138 2004-08-20 10:30:37Z peter $ |
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2 | |
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3 | #ifndef _theplu_cpptools_averager_ |
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4 | #define _theplu_cpptools_averager_ |
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5 | |
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6 | #include <cmath> |
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7 | #include "vector.h" |
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8 | |
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9 | namespace theplu{ |
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10 | namespace cpptools{ |
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11 | class ostream; |
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12 | /// |
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13 | /// Modified version of the Averager class written by Patrik Eden, |
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14 | /// Dept. Theoretical Physic, Lund University, Sweden |
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15 | /// |
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16 | class Averager |
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17 | { |
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18 | public: |
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19 | |
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20 | /// |
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21 | /// Default constructor |
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22 | /// |
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23 | Averager(void); |
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24 | |
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25 | /// |
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26 | /// Constructor taking the value of first data point. |
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27 | /// |
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28 | Averager(const double); |
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29 | |
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30 | /// |
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31 | /// Constructor taking sum of x, sum of squared x and number of |
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32 | /// samples. |
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33 | /// |
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34 | Averager(const double, const double, const long); |
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35 | |
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36 | /// |
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37 | /// Constructor taking gslapi::vector. |
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38 | /// |
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39 | Averager(const gslapi::vector&); |
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40 | |
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41 | /// |
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42 | /// Copy constructor |
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43 | /// |
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44 | Averager(const Averager&); |
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45 | |
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46 | /// |
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47 | /// adding n(default=1) number of data point(s) with value d. |
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48 | /// |
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49 | inline void add(const double d,const long n=1) |
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50 | {n_+=n; x_+=n*d; xx_+=n*d*d;} |
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51 | |
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52 | /// |
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53 | /// @return average |
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54 | /// |
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55 | inline double average(void) const {return mean();} |
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56 | |
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57 | /// |
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58 | /// @return sum of squared values \f$ \sum x_i^2 \f$ |
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59 | /// |
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60 | inline double average_sqr(void) const {return mean_sqr();} |
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61 | |
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62 | /// |
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63 | /// @return average \f$ \frac{\sum x_i}{n} \f$ |
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64 | /// |
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65 | inline double mean(void) const { return n_ ? x_/n_ : 0; } |
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66 | |
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67 | /// |
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68 | /// @return @return sum of squared values \f$ \sum x_i^2 \f$. |
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69 | /// |
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70 | inline double mean_sqr(void) const { return n_ ? xx_/n_ : 0; } |
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71 | |
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72 | /// |
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73 | /// @return number of data points |
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74 | /// |
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75 | inline double n(void) const { return n_; } |
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76 | |
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77 | /// |
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78 | /// resets everything to zero |
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79 | /// |
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80 | inline void reset(void) { n_=0; x_=xx_=0.0;} |
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81 | |
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82 | /// |
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83 | /// The standard deviation is defined as the square root of the |
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84 | /// variance. @return standard deviation |
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85 | /// |
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86 | inline double standard_deviation(void) const { return sqrt(variance()); } |
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87 | |
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88 | /// |
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89 | /// The standard deviation is defined as the square root of the |
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90 | /// variance. @return standard deviation |
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91 | /// |
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92 | inline double std(void) const { return sqrt(variance()); } |
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93 | |
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94 | /// |
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95 | /// @return standard error, i.e. standard deviation of the mean |
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96 | /// |
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97 | inline double standard_error(void) const { return sqrt(variance()/n_); } |
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98 | |
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99 | /// |
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100 | /// @return the sum of x |
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101 | /// |
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102 | inline double sum_x(void) const { return x_; } |
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103 | |
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104 | /// |
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105 | /// @return the sum of squares |
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106 | /// |
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107 | inline double sum_xsqr(void) const { return xx_; } |
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108 | |
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109 | /// |
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110 | ///The variance is calculated using the (n-1) correction, which |
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111 | ///means it is the best unbiased estimator of the variance \f$ |
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112 | ///\frac{1}{N-1}\sum_i (x_i-m)^2\f$, where \f$m\f$ is the |
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113 | ///mean@return variance |
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114 | /// |
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115 | inline double variance(void) const |
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116 | { return (n_>1) ? (xx_-x_*x_/n_)/(n_-1) : 0; } |
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117 | |
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118 | /// |
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119 | /// equality operator |
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120 | /// |
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121 | inline Averager operator=(const Averager& a) |
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122 | { n_=a.n_; x_=a.x_; xx_=a.xx_; return *this; } |
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123 | |
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124 | /// |
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125 | /// operator to add a double to the object |
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126 | /// |
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127 | inline Averager operator+=(double d) |
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128 | { add(d); return *this; } |
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129 | |
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130 | /// |
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131 | /// operator to add a "one" |
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132 | /// |
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133 | inline Averager operator++(void) |
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134 | { add(1); return *this; } |
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135 | |
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136 | /// |
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137 | /// Operator to rescale the object |
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138 | /// |
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139 | inline Averager operator*=(double d) |
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140 | { x_*=d; xx_*=d*d; return *this; } |
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141 | |
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142 | /// |
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143 | /// Operator to rescale the object |
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144 | /// |
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145 | inline Averager operator/=(double d) |
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146 | { return (*this)*=(1/d); } |
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147 | |
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148 | /// |
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149 | /// operator to add another Averager |
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150 | /// |
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151 | const Averager& operator+=(const Averager&); |
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152 | |
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153 | /// |
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154 | /// operator to multiply with an Averager. See code for details. |
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155 | /// |
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156 | const Averager& operator*=(const Averager&); |
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157 | |
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158 | /// |
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159 | /// operator to multiply with an Averager. See code for details. |
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160 | /// |
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161 | const Averager& operator/=(const Averager&); |
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162 | |
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163 | private: |
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164 | long n_; |
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165 | double x_, xx_; |
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166 | }; |
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167 | |
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168 | Averager operator*(double,const Averager&); |
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169 | |
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170 | /// |
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171 | /// The output operator |
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172 | /// |
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173 | std::ostream& operator<<( std::ostream&, const Averager&); |
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174 | |
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175 | |
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176 | }} // of namespace cpptools and namespace theplu |
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177 | |
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178 | #endif |
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