A Discrete-Event Network Simulator
API
Loading...
Searching...
No Matches
average.h
Go to the documentation of this file.
1/*
2 * Copyright (c) 2009 IITP RAS
3 *
4 * This program is free software; you can redistribute it and/or modify
5 * it under the terms of the GNU General Public License version 2 as
6 * published by the Free Software Foundation;
7 *
8 * This program is distributed in the hope that it will be useful,
9 * but WITHOUT ANY WARRANTY; without even the implied warranty of
10 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
11 * GNU General Public License for more details.
12 *
13 * You should have received a copy of the GNU General Public License
14 * along with this program; if not, write to the Free Software
15 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
16 *
17 * Authors: Pavel Boyko <boyko@iitp.ru>
18 * Corrections and extensions: Timo Bingmann <tbns@idlebox.net>
19 */
20
21#ifndef AVERAGE_H
22#define AVERAGE_H
23#include "ns3/basic-data-calculators.h"
24
25#include <cmath>
26#include <limits>
27#include <ostream>
28#include <stdint.h>
29
30namespace ns3
31{
32
40template <typename T = double>
42{
43 public:
45 : m_size(0),
46 m_min(std::numeric_limits<T>::max()),
47 m_max(0)
48 {
49 }
50
55 void Update(const T& x)
56 {
57 // Give the variance calculator the next value.
59
60 m_min = std::min(x, m_min);
61 m_max = std::max(x, m_max);
62 m_size++;
63 }
64
66 void Reset()
67 {
69
70 m_size = 0;
71 m_min = std::numeric_limits<T>::max();
72 m_max = 0;
73 }
74
75 // Sample statistics
81 {
82 return m_size;
83 }
84
89 T Min() const
90 {
91 return m_min;
92 }
93
98 T Max() const
99 {
100 return m_max;
101 }
102
107 double Avg() const
108 {
110 }
111
116 double Mean() const
117 {
118 return Avg();
119 }
120
125 double Var() const
126 {
128 }
129
134 double Stddev() const
135 {
136 return std::sqrt(Var());
137 }
138
154 double Error90() const
155 {
156 return 1.645 * std::sqrt(Var() / Count());
157 }
158
169 double Error95() const
170 {
171 return 1.960 * std::sqrt(Var() / Count());
172 }
173
185 double Error99() const
186 {
187 return 2.576 * std::sqrt(Var() / Count());
188 }
189
192 private:
197};
198
205template <typename T>
206std::ostream&
207operator<<(std::ostream& os, const Average<T>& x)
208{
209 if (x.Count() != 0)
210 {
211 os << x.Avg() << " (" << x.Stddev() << ") [" << x.Min() << ", " << x.Max() << "]";
212 }
213 else
214 {
215 os << "NA"; // not available
216 }
217 return os;
218}
219} // namespace ns3
220#endif /* AVERAGE_H */
#define max(a, b)
Definition: 80211b.c:42
Simple average, min, max and std.
Definition: average.h:42
T m_max
Maximum value observed.
Definition: average.h:195
double Error90() const
Margin of error of the mean for 90% confidence level.
Definition: average.h:154
double Avg() const
Sample average.
Definition: average.h:107
T Min() const
Sample minimum.
Definition: average.h:89
double Var() const
Sample unbiased nbiased estimate of variance.
Definition: average.h:125
T Max() const
Sample maximum.
Definition: average.h:98
uint32_t m_size
Number of sampled data.
Definition: average.h:193
T m_min
Minimum value observed.
Definition: average.h:194
void Reset()
Reset statistics.
Definition: average.h:66
void Update(const T &x)
Add new sample.
Definition: average.h:55
double Error95() const
Margin of error of the mean for 95% confidence level.
Definition: average.h:169
double Error99() const
Margin of error of the mean for 99% confidence level.
Definition: average.h:185
uint32_t Count() const
Sample size.
Definition: average.h:80
MinMaxAvgTotalCalculator< double > m_varianceCalculator
Variance calculator.
Definition: average.h:196
double Stddev() const
Sample standard deviation.
Definition: average.h:134
double Mean() const
Sample estimate of mean, alias to Avg.
Definition: average.h:116
Template class MinMaxAvgTotalCalculator.
void Reset()
Reinitializes all variables of MinMaxAvgTotalCalculator.
double getVariance() const override
Returns the current variance.
double getMean() const override
Returns the mean value.
void Update(const T i)
Updates all variables of MinMaxAvgTotalCalculator.
Every class exported by the ns3 library is enclosed in the ns3 namespace.
std::ostream & operator<<(std::ostream &os, const Angles &a)
Definition: angles.cc:129
STL namespace.