BinaryStatistic Class Reference

Commmon statistics that can be derived from two arrays of floats. More...

#include <BinaryStatistic.h>

Inheritance diagram for BinaryStatistic:

Public Member Functions
	BinaryStatistic (const std::string &name, const std::string &description)
	Construct with a name and description.
virtual double	get (const std::vector< double > &data1, const std::vector< double > &data2)=0
	Derived types define the value returned.
virtual BinaryStatistic *	clone () const =0
	Derived types must also define clone method.
void	set_file (FILE *f)
	Set the file to which auxiliary data will be printed.

Static Public Member Functions
static BinaryStatistic *	factory (const std::string &name)
	Create a new instance of BinaryStatistic based on name.
static const std::vector< BinaryStatistic * > &	children ()
	Returns a list of available BinaryStatistic children.

Protected Attributes
FILE *	fptr
	The file to which auxiliary data will be printed.

Detailed Description

Commmon statistics that can be derived from two arrays of floats.

Member Function Documentation

clone()

virtual BinaryStatistic * BinaryStatistic::clone ( ) const

pure virtual

Derived types must also define clone method.

Implemented in BinaryStatistics::GaussianMixtureProbabilityDensity, and BinaryStatistics::GeneralizedChiSquared.

References BinaryStatistic().

get()

virtual double BinaryStatistic::get ( const std::vector< double > & data1, const std::vector< double > & data2 )

pure virtual

Derived types define the value returned.

data1 and data2 must have been normalized such that a robust estimate of their variance is equal to unity

Implemented in BinaryStatistics::GaussianMixtureProbabilityDensity, and BinaryStatistics::GeneralizedChiSquared.

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

• BinaryStatistic.h
• BinaryStatistic.C