Simple average, min, max and std. More...

#include "average.h"

Inheritance diagram for ns3::Average< T >:

Collaboration diagram for ns3::Average< T >:

Public Member Functions
	Average ()

double	Avg () const
	Sample average.

uint32_t	Count () const
	Sample size.

T	Max () const
	Sample maximum.

double	Mean () const
	Sample estimate of mean, alias to Avg.

T	Min () const
	Sample minimum.

void	Reset ()
	Reset statistics.

double	Stddev () const
	Sample standard deviation.

void	Update (const T &x)
	Add new sample.

double	Var () const
	Sample unbiased nbiased estimate of variance.

Error of the mean estimates
double	Error90 () const
	Margin of error of the mean for 90% confidence level.

double	Error95 () const
	Margin of error of the mean for 95% confidence level.

double	Error99 () const
	Margin of error of the mean for 99% confidence level.

Private Attributes
T	m_max
	Maximum value observed.

T	m_min
	Minimum value observed.

uint32_t	m_size
	Number of sampled data.

MinMaxAvgTotalCalculator< double >	m_varianceCalculator
	Variance calculator.

Detailed Description

template<typename T = double>
class ns3::Average< T >

Simple average, min, max and std.

deviation calculator

Definition at line 41 of file average.h.

Constructor & Destructor Documentation

◆ Average()

template<typename T = double>

ns3::Average< T >::Average ( )

inline

Definition at line 44 of file average.h.

Member Function Documentation

◆ Avg()

template<typename T = double>

double ns3::Average< T >::Avg ( ) const

inline

Sample average.

Returns: the average of the sample

Definition at line 107 of file average.h.

References ns3::MinMaxAvgTotalCalculator< T >::getMean(), and ns3::Average< T >::m_varianceCalculator.

Referenced by ns3::Average< T >::Mean(), and ns3::Ping::PrintReport().

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◆ Count()

template<typename T = double>

uint32_t ns3::Average< T >::Count ( ) const

inline

Sample size.

Returns: the sample size

Definition at line 80 of file average.h.

References ns3::Average< T >::m_size.

Referenced by OneIntegerAverageTestCase::DoRun(), FiveIntegersAverageTestCase::DoRun(), FiveDoublesAverageTestCase::DoRun(), ns3::Average< T >::Error90(), ns3::Average< T >::Error95(), ns3::Average< T >::Error99(), ns3::Ping::PrintReport(), and ns3::Ping::Send().

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◆ Error90()

template<typename T = double>

double ns3::Average< T >::Error90 ( ) const

inline

Margin of error of the mean for 90% confidence level.

Note that estimates are valid for

uncorrelated measurements,
normal distribution and
large enough sample size.

Returns: Margin of error of the mean for 90% confidence level

Definition at line 154 of file average.h.

References ns3::Average< T >::Count(), and ns3::Average< T >::Var().

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◆ Error95()

template<typename T = double>

double ns3::Average< T >::Error95 ( ) const

inline

Margin of error of the mean for 95% confidence level.

Note that estimates are valid for

uncorrelated measurements,
normal distribution and
large enough sample size.

Returns: Margin of error of the mean for 95% confidence level

Definition at line 169 of file average.h.

References ns3::Average< T >::Count(), and ns3::Average< T >::Var().

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◆ Error99()

template<typename T = double>

double ns3::Average< T >::Error99 ( ) const

inline

Margin of error of the mean for 99% confidence level.

Note that estimates are valid for

uncorrelated measurements,
normal distribution and
large enough sample size.

Returns: Margin of error of the mean for 99% confidence level

Definition at line 185 of file average.h.

References ns3::Average< T >::Count(), and ns3::Average< T >::Var().

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◆ Max()

template<typename T = double>

T ns3::Average< T >::Max ( ) const

inline

Sample maximum.

Returns: the maximum of the sample

Definition at line 98 of file average.h.

References ns3::Average< T >::m_max.

Referenced by OneIntegerAverageTestCase::DoRun(), FiveIntegersAverageTestCase::DoRun(), FiveDoublesAverageTestCase::DoRun(), ns3::Ping::PrintReport(), and ns3::Ping::Send().

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◆ Mean()

template<typename T = double>

double ns3::Average< T >::Mean ( ) const

inline

Sample estimate of mean, alias to Avg.

Returns: the average of the sample

Definition at line 116 of file average.h.

References ns3::Average< T >::Avg().

Referenced by OneIntegerAverageTestCase::DoRun(), FiveIntegersAverageTestCase::DoRun(), and FiveDoublesAverageTestCase::DoRun().

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◆ Min()

template<typename T = double>

T ns3::Average< T >::Min ( ) const

inline

Sample minimum.

Returns: the minimum of the sample

Definition at line 89 of file average.h.

References ns3::Average< T >::m_min.

Referenced by OneIntegerAverageTestCase::DoRun(), FiveIntegersAverageTestCase::DoRun(), FiveDoublesAverageTestCase::DoRun(), and ns3::Ping::PrintReport().

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◆ Reset()

template<typename T = double>

void ns3::Average< T >::Reset ( )

inline

Reset statistics.

Definition at line 66 of file average.h.

References ns3::Average< T >::m_max, ns3::Average< T >::m_min, ns3::Average< T >::m_size, ns3::Average< T >::m_varianceCalculator, and ns3::MinMaxAvgTotalCalculator< T >::Reset().

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◆ Stddev()

template<typename T = double>

double ns3::Average< T >::Stddev ( ) const

inline

Sample standard deviation.

Returns: the standard deviation

Definition at line 134 of file average.h.

References ns3::Average< T >::Var().

Referenced by OneIntegerAverageTestCase::DoRun(), FiveIntegersAverageTestCase::DoRun(), FiveDoublesAverageTestCase::DoRun(), and ns3::Ping::PrintReport().

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◆ Update()

template<typename T = double>

void ns3::Average< T >::Update ( const T & x )

inline

Add new sample.

Parameters

x	The sample

Definition at line 55 of file average.h.

References ns3::Average< T >::m_max, ns3::Average< T >::m_min, ns3::Average< T >::m_size, ns3::Average< T >::m_varianceCalculator, and ns3::MinMaxAvgTotalCalculator< T >::Update().

Referenced by OneIntegerAverageTestCase::DoRun(), FiveIntegersAverageTestCase::DoRun(), FiveDoublesAverageTestCase::DoRun(), and ns3::Ping::Receive().

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◆ Var()

template<typename T = double>

double ns3::Average< T >::Var ( ) const

inline

Sample unbiased nbiased estimate of variance.

Returns: the unbiased nbiased estimate of variance

Definition at line 125 of file average.h.

References ns3::MinMaxAvgTotalCalculator< T >::getVariance(), and ns3::Average< T >::m_varianceCalculator.

Referenced by OneIntegerAverageTestCase::DoRun(), FiveIntegersAverageTestCase::DoRun(), FiveDoublesAverageTestCase::DoRun(), ns3::Average< T >::Error90(), ns3::Average< T >::Error95(), ns3::Average< T >::Error99(), and ns3::Average< T >::Stddev().

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Member Data Documentation

◆ m_max

template<typename T = double>

T ns3::Average< T >::m_max

private

Maximum value observed.

Definition at line 195 of file average.h.

Referenced by ns3::Average< T >::Max(), ns3::Average< T >::Reset(), and ns3::Average< T >::Update().

◆ m_min

template<typename T = double>

T ns3::Average< T >::m_min

private

Minimum value observed.

Definition at line 194 of file average.h.

Referenced by ns3::Average< T >::Min(), ns3::Average< T >::Reset(), and ns3::Average< T >::Update().

◆ m_size

template<typename T = double>

uint32_t ns3::Average< T >::m_size

private

Number of sampled data.

Definition at line 193 of file average.h.

Referenced by ns3::Average< T >::Count(), ns3::Average< T >::Reset(), and ns3::Average< T >::Update().

◆ m_varianceCalculator

template<typename T = double>

MinMaxAvgTotalCalculator<double> ns3::Average< T >::m_varianceCalculator

private

Variance calculator.

Definition at line 196 of file average.h.

Referenced by ns3::Average< T >::Avg(), ns3::Average< T >::Reset(), ns3::Average< T >::Update(), and ns3::Average< T >::Var().

The documentation for this class was generated from the following file:

src/stats/model/average.h

Public Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ Average()

Member Function Documentation

◆ Avg()

◆ Count()

◆ Error90()

◆ Error95()

◆ Error99()

◆ Max()

◆ Mean()

◆ Min()

◆ Reset()

◆ Stddev()

◆ Update()

◆ Var()

Member Data Documentation

◆ m_max

◆ m_min

◆ m_size

◆ m_varianceCalculator