source: trunk/yat/statistics/AveragerWeighted.cc @ 2451

Last change on this file since 2451 was 2451, checked in by Peter, 12 years ago

update copyright years

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1// $Id: AveragerWeighted.cc 2451 2011-03-28 23:16:14Z peter $
2
3/*
4  Copyright (C) 2004, 2005, 2006, 2007, 2008 Jari Häkkinen, Peter Johansson
5  Copyright (C) 2011 Peter Johansson
6
7  This file is part of the yat library, http://dev.thep.lu.se/yat
8
9  The yat library is free software; you can redistribute it and/or
10  modify it under the terms of the GNU General Public License as
11  published by the Free Software Foundation; either version 3 of the
12  License, or (at your option) any later version.
13
14  The yat library is distributed in the hope that it will be useful,
15  but WITHOUT ANY WARRANTY; without even the implied warranty of
16  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
17  General Public License for more details.
18
19  You should have received a copy of the GNU General Public License
20  along with yat. If not, see <http://www.gnu.org/licenses/>.
21*/
22
23#include "AveragerWeighted.h"
24#include "Averager.h"
25
26namespace theplu {
27namespace yat {
28namespace statistics {
29
30  AveragerWeighted::AveragerWeighted(void)
31    : w_(Averager()), wx_(Averager()), wwx_(0), wxx_(0)
32  {
33  }
34
35  AveragerWeighted::AveragerWeighted(const AveragerWeighted& a)
36    : w_(a.w_),
37      wx_(a.wx_),
38      wwx_(a.sum_wwx()),
39      wxx_(a.sum_wxx())
40  {
41  }
42
43  void AveragerWeighted::add(const double d, const double w)
44  {
45    if (!w)
46      return;
47    w_.add(w); wx_.add(w*d); wwx_+=w*w*d; wxx_+=w*d*d;
48  }
49
50  double AveragerWeighted::mean(void) const
51  {
52    return sum_wx()/sum_w();
53  }
54
55  double AveragerWeighted::n(void) const
56  {
57    return sum_w()*sum_w()/sum_ww();
58  }
59
60  void AveragerWeighted::rescale(double a)
61  {
62    wx_.rescale(a);
63    wwx_*=a;
64    wxx_*=a*a;
65  }
66
67  void AveragerWeighted::reset(void)
68  {
69    wx_.reset(); w_.reset(); wwx_=0; wxx_=0;
70  }
71
72  double AveragerWeighted::std(void) const
73  {
74    return sqrt(variance());
75  }
76
77  double AveragerWeighted::standard_error(void) const
78  {
79    return sqrt(sum_ww()/(sum_w()*sum_w()*sum_w()) * sum_xx_centered());
80  }
81
82  double AveragerWeighted::sum_w(void)  const
83  {
84    return w_.sum_x();
85  }
86
87  double AveragerWeighted::sum_ww(void) const
88  {
89    return w_.sum_xx();
90  }
91
92  double AveragerWeighted::sum_wwx(void) const
93  {
94    return wwx_;
95  }
96
97  double AveragerWeighted::sum_wwxx(void) const
98  {
99    return wx_.sum_xx();
100  }
101
102  double AveragerWeighted::sum_wx(void) const
103  {
104    return wx_.sum_x();
105  }
106
107  double AveragerWeighted::sum_wxx(void) const
108  {
109    return wxx_;
110  }
111
112  double AveragerWeighted::sum_xx_centered(void) const
113  {
114    return sum_wxx() - mean()*mean()*sum_w();
115  }
116
117  double AveragerWeighted::variance(const double m) const
118  {
119    return (sum_wxx()-2*m*sum_wx())/sum_w()+m*m;
120  }
121
122  double AveragerWeighted::variance(void) const
123  {
124    return sum_xx_centered()/sum_w();
125  }
126
127  const Averager& AveragerWeighted::wx(void) const
128  {
129    return wx_;
130  }
131
132  const Averager& AveragerWeighted::w(void) const
133  {
134    return w_;
135  }
136
137  const AveragerWeighted& AveragerWeighted::operator+=(const AveragerWeighted& a)
138  {
139    wx_+=a.wx(); w_+=a.w(); wwx_+=a.sum_wwx(); wxx_+=a.sum_wxx();
140    return *this;
141  }
142
143}}} // of namespace statistics, yat, and theplu
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