HypoTestResult is a base class for results from hypothesis tests.

Any tool inheriting from HypoTestCalculator can return a HypoTestResult. As such, it stores a p-value for the null-hypothesis (eg. background-only) and an alternate hypothesis (eg. signal+background). The p-values can also be transformed into confidence levels (CLb, CLsplusb) in a trivial way. The ratio of the CLsplusb to CLb is often called CLs, and is considered useful, though it is not a probability. Finally, the p-value of the null can be transformed into a number of equivalent Gaussian sigma using the Significance method.

The p-value of the null for a given test statistic is rigorously defined and this is the starting point for the following conventions.

Conventions used in this class

The p-value for the null and alternate are on the same side of the observed value of the test statistic. This is the more standard convention and avoids confusion when doing inverted tests.

For exclusion, we also want the formula CLs = CLs+b / CLb to hold which therefore defines our conventions for CLs+b and CLb. CLs was specifically invented for exclusion and therefore all quantities need be related through the assignments as they are for exclusion: CLs+b = p_{s+b}; CLb = p_b. This is derived by considering the scenarios of a powerful and not powerful inverted test, where for the not so powerful test, CLs must be close to one.

For results of Hypothesis tests, CLs has no similar direct interpretation as for exclusion and can be larger than one.

Definition at line 70 of file HypoTestResult.h.

Public Member Functions
	HypoTestResult (const char *name=0)
	default constructor More...

	HypoTestResult (const HypoTestResult &other)
	copy constructo More...

	HypoTestResult (const char *name, Double_t nullp, Double_t altp)
	constructor from name, null and alternate p values More...

virtual	~HypoTestResult ()
	destructor More...

HypoTestResult &	operator= (const HypoTestResult &other)
	assignment operator More...

virtual void	Append (const HypoTestResult *other)
	add values from another HypoTestResult More...

virtual Double_t	NullPValue () const
	Return p-value for null hypothesis. More...

virtual Double_t	AlternatePValue () const
	Return p-value for alternate hypothesis. More...

virtual Double_t	CLb () const
	Convert NullPValue into a "confidence level". More...

virtual Double_t	CLsplusb () const
	Convert AlternatePValue into a "confidence level". More...

virtual Double_t	CLs () const
	CLs is simply CLs+b/CLb (not a method, but a quantity) More...

virtual Double_t	Significance () const
	familiar name for the Null p-value in terms of 1-sided Gaussian significance More...

SamplingDistribution *	GetNullDistribution (void) const

SamplingDistribution *	GetAltDistribution (void) const

RooDataSet *	GetNullDetailedOutput (void) const

RooDataSet *	GetAltDetailedOutput (void) const

RooDataSet *	GetFitInfo (void) const

Double_t	GetTestStatisticData (void) const

const RooArgList *	GetAllTestStatisticsData (void) const

Bool_t	HasTestStatisticData (void) const

void	SetAltDistribution (SamplingDistribution *alt)

void	SetNullDistribution (SamplingDistribution *null)

void	SetAltDetailedOutput (RooDataSet *d)

void	SetNullDetailedOutput (RooDataSet *d)

void	SetFitInfo (RooDataSet *d)

void	SetTestStatisticData (const Double_t tsd)

void	SetAllTestStatisticsData (const RooArgList *tsd)

void	SetPValueIsRightTail (Bool_t pr)

Bool_t	GetPValueIsRightTail (void) const

void	SetBackgroundAsAlt (Bool_t l=kTRUE)

Bool_t	GetBackGroundIsAlt (void) const

Double_t	CLbError () const
	The error on the "confidence level" of the null hypothesis. More...

Double_t	CLsplusbError () const
	The error on the "confidence level" of the alternative hypothesis. More...

Double_t	CLsError () const
	The error on the ratio CLs+b/CLb. More...

Double_t	NullPValueError () const
	The error on the Null p-value. More...

Double_t	SignificanceError () const
	The error on the significance, computed from NullPValueError via error propagation. More...

void	Print (const Option_t *="") const

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TString &name, const TString &title)

	TNamed (const TNamed &named)

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator. More...

virtual	~TNamed ()

virtual void	Clear (Option_t *option="")
	Set name and title to empty strings (""). More...

virtual TObject *	Clone (const char *newname="") const
	Make a clone of an object using the Streamer facility. More...

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects. More...

virtual void	Copy (TObject &named) const
	Copy this to obj. More...

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer. More...

virtual const char *	GetName () const
	Returns name of object. More...

virtual const char *	GetTitle () const
	Returns title of object. More...

virtual ULong_t	Hash () const
	Return hash value for this object. More...

virtual Bool_t	IsSortable () const

virtual void	SetName (const char *name)
	Change (i.e. More...

virtual void	SetNameTitle (const char name, const char title)
	Change (i.e. set) all the TNamed parameters (name and title). More...

virtual void	SetTitle (const char *title="")
	Change (i.e. set) the title of the TNamed. More...

virtual void	ls (Option_t *option="") const
	List TNamed name and title. More...

virtual void	Print (Option_t *option="") const
	Print TNamed name and title. More...

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject. More...

Public Member Functions inherited from TObject
	TObject ()

	TObject (const TObject &object)
	TObject copy ctor. More...

TObject &	operator= (const TObject &rhs)
	TObject assignment operator. More...

virtual	~TObject ()
	TObject destructor. More...

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad. More...

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action. More...

virtual const char *	ClassName () const
	Returns name of class to which the object belongs. More...

virtual void	Delete (Option_t *option="")
	Delete this object. More...

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object. More...

virtual void	Draw (Option_t *option="")
	Default Draw method for all objects. More...

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs. More...

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current pad. More...

virtual void	Dump () const
	Dump contents of object on stdout. More...

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g. More...

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray. More...

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py). More...

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes. More...

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes. More...

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object. More...

virtual UInt_t	GetUniqueID () const
	Return the unique object id. More...

virtual const char *	GetIconName () const
	Returns mime type name of object. More...

virtual Option_t *	GetOption () const

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py). More...

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out. More...

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname". More...

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl. More...

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas. More...

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory). More...

Bool_t	IsOnHeap () const

Bool_t	IsZombie () const

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification. More...

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself. More...

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list. More...

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory. More...

virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list. More...

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename. More...

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out". More...

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object. More...

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id. More...

virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory. More...

void *	operator new (size_t sz)

void *	operator new[] (size_t sz)

void *	operator new (size_t sz, void *vp)

void *	operator new[] (size_t sz, void *vp)

void	operator delete (void *ptr)
	Operator delete. More...

void	operator delete[] (void *ptr)
	Operator delete []. More...

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f. More...

void	SetBit (UInt_t f)

void	ResetBit (UInt_t f)

Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

void	InvertBit (UInt_t f)

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message. More...

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message. More...

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message. More...

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message. More...

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message. More...

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...

void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete. More...

Protected Attributes
Double_t	fNullPValue

Double_t	fAlternatePValue

Double_t	fNullPValueError

Double_t	fAlternatePValueError

Double_t	fTestStatisticData

const RooArgList *	fAllTestStatisticsData

SamplingDistribution *	fNullDistr

SamplingDistribution *	fAltDistr

RooDataSet *	fNullDetailedOutput

RooDataSet *	fAltDetailedOutput

RooDataSet *	fFitInfo

Bool_t	fPValueIsRightTail

Bool_t	fBackgroundIsAlt

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

Private Member Functions
void	UpdatePValue (const SamplingDistribution *distr, Double_t &pvalue, Double_t &perror, Bool_t pIsRightTail)
	updates the pvalue if sufficient data is available More...

Additional Inherited Members
Public Types inherited from TObject
enum	EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) }

enum	{ kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }

Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag. More...

static void	SetDtorOnly (void *obj)
	Set destructor only flag. More...

static Bool_t	GetObjectStat ()
	Get status of object stat flag. More...

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable. More...

Protected Member Functions inherited from TObject
void	MakeZombie ()

virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected). More...

#include <RooStats/HypoTestResult.h>

Inheritance diagram for RooStats::HypoTestResult:

[legend]

Constructor & Destructor Documentation

HypoTestResult::HypoTestResult ( const char * name = 0 )

explicit

default constructor

Default constructor.

Definition at line 43 of file HypoTestResult.cxx.

HypoTestResult::HypoTestResult ( const HypoTestResult & other )

copy constructo

copy constructor

Definition at line 76 of file HypoTestResult.cxx.

HypoTestResult::HypoTestResult	(	const char *	name,
		Double_t	nullp,
		Double_t	altp
	)

constructor from name, null and alternate p values

Alternate constructor.

Definition at line 60 of file HypoTestResult.cxx.

HypoTestResult::~HypoTestResult ( )

virtual

destructor

Destructor.

Definition at line 94 of file HypoTestResult.cxx.

Member Function Documentation

virtual Double_t RooStats::HypoTestResult::AlternatePValue ( ) const

inlinevirtual

Return p-value for alternate hypothesis.

Reimplemented in RooStats::HybridResult.

Definition at line 96 of file HypoTestResult.h.

Referenced by CLb(), CLsplusb(), RooStats::HypoTestInverterResult::GetExpectedPValueDist(), RooStats::HypoTestInverter::RunOnePoint(), and StandardHypoTestDemo().

void HypoTestResult::Append ( const HypoTestResult * other )

virtual

add values from another HypoTestResult

Definition at line 135 of file HypoTestResult.cxx.

Referenced by RooStats::HypoTestInverterResult::Add(), RooStats::HypoTestInverter::Eval(), HypoTestResult(), operator=(), RooStats::HypoTestInverter::RunOnePoint(), and StandardHypoTestDemo().

virtual Double_t RooStats::HypoTestResult::CLb ( ) const

inlinevirtual

Convert NullPValue into a "confidence level".

Definition at line 99 of file HypoTestResult.h.

Referenced by RooStats::HybridResult::CLbError(), CLs(), RooStats::HybridResult::CLsError(), CLsError(), RooStats::HypoTestInverter::Eval(), Print(), RooStats::HybridResult::PrintMore(), and RooStats::HypoTestInverter::RebuildDistributions().

Double_t HypoTestResult::CLbError ( ) const

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

compute CLb error Clb = 1 - NullPValue() must use opposite condition that routine above

Definition at line 237 of file HypoTestResult.cxx.

Referenced by CLsError(), RooStats::HypoTestInverter::Eval(), and Print().

virtual Double_t RooStats::HypoTestResult::CLs ( ) const

inlinevirtual

CLs is simply CLs+b/CLb (not a method, but a quantity)

Definition at line 105 of file HypoTestResult.h.

Referenced by RooStats::HybridResult::CLsError(), CLsError(), RooStats::HypoTestInverter::Eval(), RooStats::HypoTestInverterResult::GetExpectedPValueDist(), RooStats::AsymptoticCalculator::GetHypoTest(), Print(), RooStats::HybridResult::PrintMore(), and RooStats::HypoTestInverter::RebuildDistributions().

Double_t HypoTestResult::CLsError ( ) const

The error on the ratio CLs+b/CLb.

Returns an estimate of the error on CLs through combination of the errors on CLb and CLsplusb: BEGIN_LATEX #sigma_{CL_s} = CL_s sqrt{#left( #frac{#sigma_{CL_{s+b}}}{CL_{s+b}} #right)^2 + #left( #frac{#sigma_{CL_{b}}}{CL_{b}} #right)^2} END_LATEX.

Definition at line 262 of file HypoTestResult.cxx.

Referenced by RooStats::HypoTestInverter::Eval(), and Print().

virtual Double_t RooStats::HypoTestResult::CLsplusb ( ) const

inlinevirtual

Convert AlternatePValue into a "confidence level".

Definition at line 102 of file HypoTestResult.h.

Referenced by CLs(), RooStats::HybridResult::CLsError(), RooStats::HybridResult::CLsplusbError(), RooStats::HypoTestInverter::Eval(), RooStats::HypoTestInverterResult::GetExpectedPValueDist(), Print(), RooStats::HybridResult::PrintMore(), and RooStats::HypoTestInverter::RebuildDistributions().

Double_t HypoTestResult::CLsplusbError ( ) const

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

Definition at line 243 of file HypoTestResult.cxx.

Referenced by CLsError(), RooStats::HypoTestInverter::Eval(), and Print().

const RooArgList* RooStats::HypoTestResult::GetAllTestStatisticsData ( void ) const

inline

Definition at line 124 of file HypoTestResult.h.

RooDataSet* RooStats::HypoTestResult::GetAltDetailedOutput ( void ) const

inline

Definition at line 121 of file HypoTestResult.h.

Referenced by Append().

SamplingDistribution* RooStats::HypoTestResult::GetAltDistribution ( void ) const

inline

Definition at line 119 of file HypoTestResult.h.

Referenced by Append(), RooStats::HypoTestPlot::ApplyDefaultStyle(), RooStats::HypoTestPlot::ApplyResult(), RooStats::HypoTestInverter::Eval(), RooStats::HypoTestInverterResult::ExclusionCleanup(), RooStats::HypoTestInverterResult::GetBackgroundTestStatDist(), RooStats::HypoTestInverterResult::GetExpectedLimit(), RooStats::HypoTestInverterResult::GetSignalAndBackgroundTestStatDist(), RooStats::HypoTestInverter::RunOnePoint(), StandardFrequentistDiscovery(), and StandardHypoTestDemo().

Bool_t RooStats::HypoTestResult::GetBackGroundIsAlt ( void ) const

inline

Definition at line 139 of file HypoTestResult.h.

Referenced by RooStats::HypoTestInverterResult::GetBackgroundTestStatDist(), RooStats::HypoTestInverterResult::GetSignalAndBackgroundTestStatDist(), and operator=().

RooDataSet* RooStats::HypoTestResult::GetFitInfo ( void ) const

inline

Definition at line 122 of file HypoTestResult.h.

Referenced by Append().

RooDataSet* RooStats::HypoTestResult::GetNullDetailedOutput ( void ) const

inline

Definition at line 120 of file HypoTestResult.h.

Referenced by Append().

SamplingDistribution* RooStats::HypoTestResult::GetNullDistribution ( void ) const

inline

Definition at line 118 of file HypoTestResult.h.

Referenced by RooStats::HypoTestInverterResult::Add(), Append(), RooStats::HypoTestPlot::ApplyDefaultStyle(), RooStats::HypoTestPlot::ApplyResult(), RooStats::HypoTestInverter::Eval(), RooStats::HypoTestInverterResult::ExclusionCleanup(), RooStats::HypoTestInverterResult::GetBackgroundTestStatDist(), RooStats::HypoTestInverterResult::GetExpectedLimit(), RooStats::HypoTestInverterResult::GetSignalAndBackgroundTestStatDist(), RooStats::HypoTestInverter::RunOnePoint(), and StandardFrequentistDiscovery().

Bool_t RooStats::HypoTestResult::GetPValueIsRightTail ( void ) const

inline

Definition at line 136 of file HypoTestResult.h.

Referenced by RooStats::HypoTestPlot::ApplyResult(), RooStats::HypoTestInverter::Eval(), RooStats::HypoTestInverterResult::GetExpectedPValueDist(), and operator=().

Double_t RooStats::HypoTestResult::GetTestStatisticData ( void ) const

inline

Definition at line 123 of file HypoTestResult.h.

Referenced by Append(), RooStats::HypoTestPlot::ApplyResult(), and RooStats::HypoTestInverter::Eval().

Bool_t HypoTestResult::HasTestStatisticData ( void ) const

Definition at line 223 of file HypoTestResult.cxx.

Referenced by RooStats::HypoTestPlot::ApplyResult(), and Print().

virtual Double_t RooStats::HypoTestResult::NullPValue ( ) const

inlinevirtual

Return p-value for null hypothesis.

Reimplemented in RooStats::HybridResult.

Definition at line 93 of file HypoTestResult.h.

Referenced by CLb(), CLsplusb(), DoHypothesisTest(), RooStats::HypoTestInverterResult::GetExpectedPValueDist(), Print(), rs_numberCountingCombination_observed(), rs_numberCountingCombination_observedWithTau(), RooStats::HypoTestInverter::RunOnePoint(), Significance(), StandardFrequentistDiscovery(), and StandardHypoTestDemo().

Double_t HypoTestResult::NullPValueError ( ) const

The error on the Null p-value.

Definition at line 227 of file HypoTestResult.cxx.

Referenced by Print(), and SignificanceError().

HypoTestResult & HypoTestResult::operator= ( const HypoTestResult & other )

assignment operator

Definition at line 108 of file HypoTestResult.cxx.

void HypoTestResult::Print ( const Option_t * = "" ) const

Definition at line 301 of file HypoTestResult.cxx.

Referenced by ClassImp(), StandardFrequentistDiscovery(), and StandardHypoTestDemo().

void HypoTestResult::SetAllTestStatisticsData ( const RooArgList * tsd )

Definition at line 199 of file HypoTestResult.cxx.

Referenced by RooStats::HypoTestCalculatorGeneric::GetHypoTest().

void RooStats::HypoTestResult::SetAltDetailedOutput ( RooDataSet * d )

inline

Definition at line 129 of file HypoTestResult.h.

Referenced by RooStats::HypoTestCalculatorGeneric::GetHypoTest().

void HypoTestResult::SetAltDistribution ( SamplingDistribution * alt )

Definition at line 179 of file HypoTestResult.cxx.

Referenced by RooStats::HypoTestInverterResult::GetExpectedPValueDist(), and RooStats::HypoTestCalculatorGeneric::GetHypoTest().

void RooStats::HypoTestResult::SetBackgroundAsAlt ( Bool_t l = kTRUE )

inline

Definition at line 138 of file HypoTestResult.h.

Referenced by RooStats::HypoTestInverter::Eval(), RooStats::HypoTestInverterResult::GetExpectedPValueDist(), and StandardHypoTestDemo().

void RooStats::HypoTestResult::SetFitInfo ( RooDataSet * d )

inline

Definition at line 131 of file HypoTestResult.h.

Referenced by RooStats::HypoTestCalculatorGeneric::GetHypoTest().

void RooStats::HypoTestResult::SetNullDetailedOutput ( RooDataSet * d )

inline

Definition at line 130 of file HypoTestResult.h.

Referenced by RooStats::HypoTestCalculatorGeneric::GetHypoTest().

void HypoTestResult::SetNullDistribution ( SamplingDistribution * null )

Definition at line 185 of file HypoTestResult.cxx.

Referenced by RooStats::HypoTestInverterResult::GetExpectedPValueDist(), and RooStats::HypoTestCalculatorGeneric::GetHypoTest().

void HypoTestResult::SetPValueIsRightTail ( Bool_t pr )

Definition at line 214 of file HypoTestResult.cxx.

Referenced by RooStats::HypoTestInverterResult::GetExpectedPValueDist(), RooStats::HypoTestCalculatorGeneric::GetHypoTest(), and StandardHypoTestDemo().

void HypoTestResult::SetTestStatisticData ( const Double_t tsd )

Definition at line 191 of file HypoTestResult.cxx.

Referenced by RooStats::HypoTestInverter::Eval(), RooStats::HypoTestInverterResult::GetExpectedPValueDist(), RooStats::HypoTestCalculatorGeneric::GetHypoTest(), SetAllTestStatisticsData(), and StandardHypoTestDemo().

virtual Double_t RooStats::HypoTestResult::Significance ( ) const

inlinevirtual

familiar name for the Null p-value in terms of 1-sided Gaussian significance

Definition at line 116 of file HypoTestResult.h.

Referenced by DoHypothesisTest(), Print(), rs_numberCountingCombination_observed(), SignificanceError(), and StandardHypoTestDemo().

Double_t HypoTestResult::SignificanceError ( ) const

The error on the significance, computed from NullPValueError via error propagation.

Taylor expansion series approximation for standard deviation (error propagation)

Definition at line 250 of file HypoTestResult.cxx.

Referenced by Print().

void HypoTestResult::UpdatePValue	(	const SamplingDistribution *	distr,
		Double_t &	pvalue,
		Double_t &	perror,
		Bool_t	pIsRightTail
	)

private

updates the pvalue if sufficient data is available

Definition at line 283 of file HypoTestResult.cxx.

Referenced by Append(), SetAltDistribution(), SetNullDistribution(), SetPValueIsRightTail(), and SetTestStatisticData().

Member Data Documentation

const RooArgList* RooStats::HypoTestResult::fAllTestStatisticsData

protected

Definition at line 170 of file HypoTestResult.h.

Referenced by GetAllTestStatisticsData(), operator=(), SetAllTestStatisticsData(), and ~HypoTestResult().

RooDataSet* RooStats::HypoTestResult::fAltDetailedOutput

protected

Definition at line 174 of file HypoTestResult.h.

Referenced by Append(), GetAltDetailedOutput(), operator=(), SetAltDetailedOutput(), and ~HypoTestResult().

SamplingDistribution* RooStats::HypoTestResult::fAltDistr

protected

Definition at line 172 of file HypoTestResult.h.

Referenced by Append(), CLsError(), GetAltDistribution(), operator=(), Print(), SetAltDistribution(), SetPValueIsRightTail(), SetTestStatisticData(), and ~HypoTestResult().

Double_t RooStats::HypoTestResult::fAlternatePValue

mutableprotected

Definition at line 166 of file HypoTestResult.h.

Referenced by RooStats::HybridResult::AlternatePValue(), AlternatePValue(), Append(), operator=(), SetAltDistribution(), SetPValueIsRightTail(), and SetTestStatisticData().

Double_t RooStats::HypoTestResult::fAlternatePValueError

mutableprotected

Definition at line 168 of file HypoTestResult.h.

Referenced by Append(), CLbError(), CLsplusbError(), operator=(), SetAltDistribution(), SetPValueIsRightTail(), and SetTestStatisticData().

Bool_t RooStats::HypoTestResult::fBackgroundIsAlt

protected

Definition at line 177 of file HypoTestResult.h.

Referenced by CLb(), CLbError(), CLsplusb(), CLsplusbError(), GetBackGroundIsAlt(), operator=(), and SetBackgroundAsAlt().

RooDataSet* RooStats::HypoTestResult::fFitInfo

protected

Definition at line 175 of file HypoTestResult.h.

Referenced by Append(), GetFitInfo(), operator=(), and SetFitInfo().

RooDataSet* RooStats::HypoTestResult::fNullDetailedOutput

protected

Definition at line 173 of file HypoTestResult.h.

Referenced by Append(), GetNullDetailedOutput(), operator=(), SetNullDetailedOutput(), and ~HypoTestResult().

SamplingDistribution* RooStats::HypoTestResult::fNullDistr

protected

Definition at line 171 of file HypoTestResult.h.

Referenced by Append(), CLsError(), GetNullDistribution(), operator=(), Print(), SetNullDistribution(), SetPValueIsRightTail(), SetTestStatisticData(), and ~HypoTestResult().

Double_t RooStats::HypoTestResult::fNullPValue

mutableprotected

Definition at line 165 of file HypoTestResult.h.

Referenced by Append(), RooStats::HybridResult::NullPValue(), NullPValue(), operator=(), SetNullDistribution(), SetPValueIsRightTail(), and SetTestStatisticData().

Double_t RooStats::HypoTestResult::fNullPValueError

mutableprotected

Definition at line 167 of file HypoTestResult.h.

Referenced by Append(), CLbError(), CLsplusbError(), NullPValueError(), operator=(), SetNullDistribution(), SetPValueIsRightTail(), and SetTestStatisticData().

Bool_t RooStats::HypoTestResult::fPValueIsRightTail

protected

Definition at line 176 of file HypoTestResult.h.

Referenced by GetPValueIsRightTail(), operator=(), SetPValueIsRightTail(), and UpdatePValue().

Double_t RooStats::HypoTestResult::fTestStatisticData

protected

Definition at line 169 of file HypoTestResult.h.

Referenced by Append(), GetTestStatisticData(), HasTestStatisticData(), operator=(), Print(), SetTestStatisticData(), and UpdatePValue().

Collaboration diagram for RooStats::HypoTestResult:

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

roofit/roostats/inc/RooStats/HypoTestResult.h
roofit/roostats/src/HypoTestResult.cxx

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