RooStats::HybridResult Class Reference

#include <HybridResult.h>

Inheritance diagram for RooStats::HybridResult:

List of all members.

Public Member Functions
	HybridResult (const char *name=0)
	Default constructor.
	HybridResult (const char *name, const std::vector< double > &testStat_sb_vals, const std::vector< double > &testStat_b_vals, bool sumLargerValues=true)
	Constructor for HybridResult.
virtual	~HybridResult ()
	Destructor of HybridResult.
void	SetDataTestStatistics (double testStat_data_val)
void	Add (HybridResult *other)
HybridPlot *	GetPlot (const char *name, const char *title, int n_bins)
void	PrintMore (const char *options)
std::vector< double >	GetTestStat_sb ()
	Get test statistics values for the sb model.
std::vector< double >	GetTestStat_b ()
	Get test statistics values for the b model.
double	GetTestStat_data ()
	Get test statistics value for data.
Double_t	NullPValue () const
Double_t	AlternatePValue () const
Double_t	CLbError () const
	The error on the "confidence level" of the null hypothesis.
Double_t	CLsplusbError () const
	The error on the "confidence level" of the alternative hypothesis.
Double_t	CLsError () const
	The error on the ratio CLs+b/CLb.
	HybridResult (const char *name=0)
	Default constructor.
	HybridResult (const char *name, const std::vector< double > &testStat_sb_vals, const std::vector< double > &testStat_b_vals, bool sumLargerValues=true)
	Constructor for HybridResult.
virtual	~HybridResult ()
	Destructor of HybridResult.
void	SetDataTestStatistics (double testStat_data_val)
void	Add (HybridResult *other)
HybridPlot *	GetPlot (const char *name, const char *title, int n_bins)
void	PrintMore (const char *options)
std::vector< double >	GetTestStat_sb ()
	Get test statistics values for the sb model.
std::vector< double >	GetTestStat_b ()
	Get test statistics values for the b model.
double	GetTestStat_data ()
	Get test statistics value for data.
Double_t	NullPValue () const
Double_t	AlternatePValue () const
Double_t	CLbError () const
	The error on the "confidence level" of the null hypothesis.
Double_t	CLsplusbError () const
	The error on the "confidence level" of the alternative hypothesis.
Double_t	CLsError () const
	The error on the ratio CLs+b/CLb.
Private Attributes
std::vector< double >	fTestStat_b
std::vector< double >	fTestStat_sb
double	fTestStat_data
bool	fComputationsNulDoneFlag
bool	fComputationsAltDoneFlag
bool	fSumLargerValues
std::vector< double >	fTestStat_b
std::vector< double >	fTestStat_sb

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Detailed Description

Definition at line 27 of file HybridResult.h.

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Constructor & Destructor Documentation

RooStats::HybridResult::HybridResult

(

const char *

name = 0

)

[explicit]

Default constructor.

RooStats::HybridResult::HybridResult	(	const char *	name,
		const std::vector< double > &	testStat_sb_vals,
		const std::vector< double > &	testStat_b_vals,
		bool	sumLargerValues = true
	)

Constructor for HybridResult.

virtual RooStats::HybridResult::~HybridResult

(

)

[virtual]

Destructor of HybridResult.

RooStats::HybridResult::HybridResult

(

const char *

name = 0

)

[explicit]

Default constructor.

RooStats::HybridResult::HybridResult	(	const char *	name,
		const std::vector< double > &	testStat_sb_vals,
		const std::vector< double > &	testStat_b_vals,
		bool	sumLargerValues = true
	)

Constructor for HybridResult.

virtual RooStats::HybridResult::~HybridResult

(

)

[virtual]

Destructor of HybridResult.

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Member Function Documentation

void RooStats::HybridResult::SetDataTestStatistics

(

double

testStat_data_val

)

void RooStats::HybridResult::Add

(

HybridResult *

other

)

HybridPlot* RooStats::HybridResult::GetPlot	(	const char *	name,
		const char *	title,
		int	n_bins
	)

void RooStats::HybridResult::PrintMore

(

const char *

options

)

std::vector<double> RooStats::HybridResult::GetTestStat_sb

(

)

[inline]

Get test statistics values for the sb model.

Definition at line 53 of file HybridResult.h.

References fTestStat_sb.

std::vector<double> RooStats::HybridResult::GetTestStat_b

(

)

[inline]

Get test statistics values for the b model.

Definition at line 56 of file HybridResult.h.

References fTestStat_b.

double RooStats::HybridResult::GetTestStat_data

(

)

[inline]

Get test statistics value for data.

Definition at line 59 of file HybridResult.h.

References fTestStat_data.

Double_t RooStats::HybridResult::NullPValue

(

)

const [virtual]

Reimplemented from RooStats::HypoTestResult.

Double_t RooStats::HybridResult::AlternatePValue

(

)

const [virtual]

Reimplemented from RooStats::HypoTestResult.

Double_t RooStats::HybridResult::CLbError

(

)

const

The error on the "confidence level" of the null hypothesis.

Reimplemented from RooStats::HypoTestResult.

Double_t RooStats::HybridResult::CLsplusbError

(

)

const

The error on the "confidence level" of the alternative hypothesis.

Reimplemented from RooStats::HypoTestResult.

Double_t RooStats::HybridResult::CLsError

(

)

const

The error on the ratio CLs+b/CLb.

Reimplemented from RooStats::HypoTestResult.

void RooStats::HybridResult::SetDataTestStatistics

(

double

testStat_data_val

)

void RooStats::HybridResult::Add

(

HybridResult *

other

)

HybridPlot* RooStats::HybridResult::GetPlot	(	const char *	name,
		const char *	title,
		int	n_bins
	)

void RooStats::HybridResult::PrintMore

(

const char *

options

)

std::vector<double> RooStats::HybridResult::GetTestStat_sb

(

)

[inline]

Get test statistics values for the sb model.

Definition at line 53 of file HybridResult.h.

References fTestStat_sb.

std::vector<double> RooStats::HybridResult::GetTestStat_b

(

)

[inline]

Get test statistics values for the b model.

Definition at line 56 of file HybridResult.h.

References fTestStat_b.

double RooStats::HybridResult::GetTestStat_data

(

)

[inline]

Get test statistics value for data.

Definition at line 59 of file HybridResult.h.

References fTestStat_data.

Double_t RooStats::HybridResult::NullPValue

(

)

const [virtual]

Reimplemented from RooStats::HypoTestResult.

Double_t RooStats::HybridResult::AlternatePValue

(

)

const [virtual]

Reimplemented from RooStats::HypoTestResult.

Double_t RooStats::HybridResult::CLbError

(

)

const

The error on the "confidence level" of the null hypothesis.

Reimplemented from RooStats::HypoTestResult.

Double_t RooStats::HybridResult::CLsplusbError

(

)

const

The error on the "confidence level" of the alternative hypothesis.

Reimplemented from RooStats::HypoTestResult.

Double_t RooStats::HybridResult::CLsError

(

)

const

The error on the ratio CLs+b/CLb.

Reimplemented from RooStats::HypoTestResult.

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Member Data Documentation

std::vector<double> RooStats::HybridResult::fTestStat_b [private]

Definition at line 78 of file HybridResult.h.

Referenced by GetTestStat_b().

std::vector<double> RooStats::HybridResult::fTestStat_sb [private]

Definition at line 79 of file HybridResult.h.

Referenced by GetTestStat_sb().

double RooStats::HybridResult::fTestStat_data [private]

Definition at line 80 of file HybridResult.h.

Referenced by GetTestStat_data().

bool RooStats::HybridResult::fComputationsNulDoneFlag [mutable, private]

Definition at line 82 of file HybridResult.h.

bool RooStats::HybridResult::fComputationsAltDoneFlag [mutable, private]

Definition at line 83 of file HybridResult.h.

bool RooStats::HybridResult::fSumLargerValues [private]

Definition at line 84 of file HybridResult.h.

std::vector<double> RooStats::HybridResult::fTestStat_b [private]

Definition at line 78 of file HybridResult.h.

std::vector<double> RooStats::HybridResult::fTestStat_sb [private]

Definition at line 79 of file HybridResult.h.

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

• include/RooStats/HybridResult.h
• roofit/roostats/inc/HybridResult.h

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