#include <statistics.hpp>

Public Member Functions
double	b0Estimation (const std::vector< double > &x, const std::vector< double > &y)

double	b1Estimation (const std::vector< double > &x, const std::vector< double > &y)

double	mean (const std::vector< double > &x)

double	median (std::vector< double > x)

std::vector< double >	mode (const std::vector< double > &x)

double	range (const std::vector< double > &x)

double	midrange (const std::vector< double > &x)

double	absAvgDeviation (const std::vector< double > &x)

double	standardDeviation (const std::vector< double > &x)

double	variance (const std::vector< double > &x)

double	covariance (const std::vector< double > &x, const std::vector< double > &y)

double	correlation (const std::vector< double > &x, const std::vector< double > &y)

double	R2 (const std::vector< double > &x, const std::vector< double > &y)

double	chebyshevIneq (const double k)

double	weightedMean (const std::vector< double > &x, const std::vector< double > &weights)

double	geometricMean (const std::vector< double > &x)

double	harmonicMean (const std::vector< double > &x)

double	RMS (const std::vector< double > &x)

double	powerMean (const std::vector< double > &x, const double p)

double	lehmerMean (const std::vector< double > &x, const double p)

double	weightedmean_lehmer (const std::vector< double > &x, const std::vector< double > &weights, const double p)

double	contramean_harmonic (const std::vector< double > &x)

double	heronianMean (const double A, const double B)

double	heinzMean (const double A, const double B, const double x)

double	neumanSandorMean (const double a, const double b)

double	stolarskyMean (const double x, const double y, const double p)

double	identricMean (const double x, const double y)

double	logMean (const double x, const double y)

std::tuple< bool, double >	chiSquareTest (std::vector< double > observed, std::vector< double > expected)

Detailed Description

Definition at line 43 of file statistics.hpp.

Member Function Documentation

◆ absAvgDeviation()

double gpmp::ml::Stats::absAvgDeviation ( const std::vector< double > & x )

◆ b0Estimation()

double gpmp::ml::Stats::b0Estimation	(	const std::vector< double > &	x,
		const std::vector< double > &	y
	)

◆ b1Estimation()

double gpmp::ml::Stats::b1Estimation	(	const std::vector< double > &	x,
		const std::vector< double > &	y
	)

◆ chebyshevIneq()

double gpmp::ml::Stats::chebyshevIneq ( const double k )

◆ chiSquareTest()

std::tuple<bool, double> gpmp::ml::Stats::chiSquareTest	(	std::vector< double >	observed,
		std::vector< double >	expected
	)

◆ contramean_harmonic()

double gpmp::ml::Stats::contramean_harmonic ( const std::vector< double > & x )

◆ correlation()

double gpmp::ml::Stats::correlation	(	const std::vector< double > &	x,
		const std::vector< double > &	y
	)

◆ covariance()

double gpmp::ml::Stats::covariance	(	const std::vector< double > &	x,
		const std::vector< double > &	y
	)

◆ geometricMean()

double gpmp::ml::Stats::geometricMean ( const std::vector< double > & x )

◆ harmonicMean()

double gpmp::ml::Stats::harmonicMean ( const std::vector< double > & x )

◆ heinzMean()

double gpmp::ml::Stats::heinzMean	(	const double	A,
		const double	B,
		const double	x
	)

◆ heronianMean()

double gpmp::ml::Stats::heronianMean	(	const double	A,
		const double	B
	)

◆ identricMean()

double gpmp::ml::Stats::identricMean	(	const double	x,
		const double	y
	)

◆ lehmerMean()

double gpmp::ml::Stats::lehmerMean	(	const std::vector< double > &	x,
		const double	p
	)

◆ logMean()

double gpmp::ml::Stats::logMean	(	const double	x,
		const double	y
	)

◆ mean()

double gpmp::ml::Stats::mean ( const std::vector< double > & x )

◆ median()

double gpmp::ml::Stats::median ( std::vector< double > x )

◆ midrange()

double gpmp::ml::Stats::midrange ( const std::vector< double > & x )

◆ mode()

std::vector<double> gpmp::ml::Stats::mode ( const std::vector< double > & x )

◆ neumanSandorMean()

double gpmp::ml::Stats::neumanSandorMean	(	const double	a,
		const double	b
	)

◆ powerMean()

double gpmp::ml::Stats::powerMean	(	const std::vector< double > &	x,
		const double	p
	)

◆ R2()

double gpmp::ml::Stats::R2	(	const std::vector< double > &	x,
		const std::vector< double > &	y
	)

◆ range()

double gpmp::ml::Stats::range ( const std::vector< double > & x )

◆ RMS()

double gpmp::ml::Stats::RMS ( const std::vector< double > & x )

◆ standardDeviation()

double gpmp::ml::Stats::standardDeviation ( const std::vector< double > & x )

◆ stolarskyMean()

double gpmp::ml::Stats::stolarskyMean	(	const double	x,
		const double	y,
		const double	p
	)

◆ variance()

double gpmp::ml::Stats::variance ( const std::vector< double > & x )

◆ weightedMean()

double gpmp::ml::Stats::weightedMean	(	const std::vector< double > &	x,
		const std::vector< double > &	weights
	)

◆ weightedmean_lehmer()

double gpmp::ml::Stats::weightedmean_lehmer	(	const std::vector< double > &	x,
		const std::vector< double > &	weights,
		const double	p
	)

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

include/openGPMP/ml/statistics.hpp

Public Member Functions