class RooStats::HybridResult: public RooStats::HypoTestResult


HybridResult class: this class is a fresh rewrite in RooStats of
	RooStatsCms/LimitResults developped by D. Piparo and G. Schott
New contributions to this class have been written by Matthias Wolf (error estimation)

The objects of this class store and access with lightweight methods the
information calculated by LimitResults through a Lent calculation using
MC toy experiments.
In some ways can be considered an extended and extensible implementation of the
TConfidenceLevel class (http://root.cern.ch/root/html/TConfidenceLevel.html).

Function Members (Methods)

public:

virtual	~HybridResult()
void	TObject::AbstractMethod(const char* method) const
void	Add(RooStats::HybridResult* other)
virtual Double_t	AlternatePValue() const
virtual void	RooStats::HypoTestResult::Append(const RooStats::HypoTestResult* other)
virtual void	TObject::AppendPad(Option_t* option = "")
virtual void	TObject::Browse(TBrowser* b)
static TClass*	Class()
virtual const char*	TObject::ClassName() const
virtual Double_t	RooStats::HypoTestResult::CLb() const
Double_t	CLbError() const
virtual void	TNamed::Clear(Option_t* option = "")
virtual TObject*	TNamed::Clone(const char* newname = "") const
virtual Double_t	RooStats::HypoTestResult::CLs() const
Double_t	CLsError() const
virtual Double_t	RooStats::HypoTestResult::CLsplusb() const
Double_t	CLsplusbError() const
virtual Int_t	TNamed::Compare(const TObject* obj) const
virtual void	TNamed::Copy(TObject& named) const
virtual void	TObject::Delete(Option_t* option = "")MENU
virtual Int_t	TObject::DistancetoPrimitive(Int_t px, Int_t py)
virtual void	TObject::Draw(Option_t* option = "")
virtual void	TObject::DrawClass() constMENU
virtual TObject*	TObject::DrawClone(Option_t* option = "") constMENU
virtual void	TObject::Dump() constMENU
virtual void	TObject::Error(const char* method, const char* msgfmt) const
virtual void	TObject::Execute(const char* method, const char* params, Int_t* error = 0)
virtual void	TObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0)
virtual void	TObject::ExecuteEvent(Int_t event, Int_t px, Int_t py)
virtual void	TObject::Fatal(const char* method, const char* msgfmt) const
virtual void	TNamed::FillBuffer(char*& buffer)
virtual TObject*	TObject::FindObject(const char* name) const
virtual TObject*	TObject::FindObject(const TObject* obj) const
const RooArgList*	RooStats::HypoTestResult::GetAllTestStatisticsData() const
RooDataSet*	RooStats::HypoTestResult::GetAltDetailedOutput() const
RooStats::SamplingDistribution*	RooStats::HypoTestResult::GetAltDistribution() const
Bool_t	RooStats::HypoTestResult::GetBackGroundIsAlt() const
virtual Option_t*	TObject::GetDrawOption() const
static Long_t	TObject::GetDtorOnly()
RooDataSet*	RooStats::HypoTestResult::GetFitInfo() const
virtual const char*	TObject::GetIconName() const
virtual const char*	TNamed::GetName() const
RooDataSet*	RooStats::HypoTestResult::GetNullDetailedOutput() const
RooStats::SamplingDistribution*	RooStats::HypoTestResult::GetNullDistribution() const
virtual char*	TObject::GetObjectInfo(Int_t px, Int_t py) const
static Bool_t	TObject::GetObjectStat()
virtual Option_t*	TObject::GetOption() const
RooStats::HybridPlot*	GetPlot(const char* name, const char* title, int n_bins)
Bool_t	RooStats::HypoTestResult::GetPValueIsRightTail() const
vector<double>	GetTestStat_b()
double	GetTestStat_data()
vector<double>	GetTestStat_sb()
Double_t	RooStats::HypoTestResult::GetTestStatisticData() const
virtual const char*	TNamed::GetTitle() const
virtual UInt_t	TObject::GetUniqueID() const
virtual Bool_t	TObject::HandleTimer(TTimer* timer)
virtual ULong_t	TNamed::Hash() const
Bool_t	RooStats::HypoTestResult::HasTestStatisticData() const
RooStats::HybridResult	HybridResult(const char* name = 0)
RooStats::HybridResult	HybridResult(const RooStats::HybridResult&)
RooStats::HybridResult	HybridResult(const char* name, const vector<double>& testStat_sb_vals, const vector<double>& testStat_b_vals, bool sumLargerValues = true)
RooStats::HypoTestResult	RooStats::HypoTestResult::HypoTestResult(const char* name = 0)
RooStats::HypoTestResult	RooStats::HypoTestResult::HypoTestResult(const RooStats::HypoTestResult& other)
RooStats::HypoTestResult	RooStats::HypoTestResult::HypoTestResult(const char* name, Double_t nullp, Double_t altp)
virtual void	TObject::Info(const char* method, const char* msgfmt) const
virtual Bool_t	TObject::InheritsFrom(const char* classname) const
virtual Bool_t	TObject::InheritsFrom(const TClass* cl) const
virtual void	TObject::Inspect() constMENU
void	TObject::InvertBit(UInt_t f)
virtual TClass*	IsA() const
virtual Bool_t	TObject::IsEqual(const TObject* obj) const
virtual Bool_t	TObject::IsFolder() const
Bool_t	TObject::IsOnHeap() const
virtual Bool_t	TNamed::IsSortable() const
Bool_t	TObject::IsZombie() const
virtual void	TNamed::ls(Option_t* option = "") const
void	TObject::MayNotUse(const char* method) const
virtual Bool_t	TObject::Notify()
virtual Double_t	NullPValue() const
Double_t	RooStats::HypoTestResult::NullPValueError() const
void	TObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
void	TObject::operator delete(void* ptr)
void	TObject::operator delete(void* ptr, void* vp)
void	TObject::operator delete[](void* ptr)
void	TObject::operator delete[](void* ptr, void* vp)
void*	TObject::operator new(size_t sz)
void*	TObject::operator new(size_t sz, void* vp)
void*	TObject::operator new[](size_t sz)
void*	TObject::operator new[](size_t sz, void* vp)
RooStats::HybridResult&	operator=(const RooStats::HybridResult&)
virtual void	TObject::Paint(Option_t* option = "")
virtual void	TObject::Pop()
virtual void	RooStats::HypoTestResult::Print(const Option_t* = "") const
void	PrintMore(const char* options)
virtual Int_t	TObject::Read(const char* name)
virtual void	TObject::RecursiveRemove(TObject* obj)
void	TObject::ResetBit(UInt_t f)
virtual void	TObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual void	TObject::SavePrimitive(ostream& out, Option_t* option = "")
void	RooStats::HypoTestResult::SetAllTestStatisticsData(const RooArgList* tsd)
void	RooStats::HypoTestResult::SetAltDetailedOutput(RooDataSet* d)
void	RooStats::HypoTestResult::SetAltDistribution(RooStats::SamplingDistribution* alt)
void	RooStats::HypoTestResult::SetBackgroundAsAlt(Bool_t l = kTRUE)
void	TObject::SetBit(UInt_t f)
void	TObject::SetBit(UInt_t f, Bool_t set)
void	SetDataTestStatistics(double testStat_data_val)
virtual void	TObject::SetDrawOption(Option_t* option = "")MENU
static void	TObject::SetDtorOnly(void* obj)
void	RooStats::HypoTestResult::SetFitInfo(RooDataSet* d)
virtual void	TNamed::SetName(const char* name)MENU
virtual void	TNamed::SetNameTitle(const char* name, const char* title)
void	RooStats::HypoTestResult::SetNullDetailedOutput(RooDataSet* d)
void	RooStats::HypoTestResult::SetNullDistribution(RooStats::SamplingDistribution* null)
static void	TObject::SetObjectStat(Bool_t stat)
void	RooStats::HypoTestResult::SetPValueIsRightTail(Bool_t pr)
void	RooStats::HypoTestResult::SetTestStatisticData(const Double_t tsd)
virtual void	TNamed::SetTitle(const char* title = "")MENU
virtual void	TObject::SetUniqueID(UInt_t uid)
virtual void	ShowMembers(TMemberInspector& insp) const
virtual Double_t	RooStats::HypoTestResult::Significance() const
Double_t	RooStats::HypoTestResult::SignificanceError() const
virtual Int_t	TNamed::Sizeof() const
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
virtual void	TObject::SysError(const char* method, const char* msgfmt) const
Bool_t	TObject::TestBit(UInt_t f) const
Int_t	TObject::TestBits(UInt_t f) const
virtual void	TObject::UseCurrentStyle()
virtual void	TObject::Warning(const char* method, const char* msgfmt) const
virtual Int_t	TObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0)
virtual Int_t	TObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const

protected:

virtual void	TObject::DoError(int level, const char* location, const char* fmt, va_list va) const
void	TObject::MakeZombie()

Data Members

public:

static TObject::(anonymous)	TObject::kBitMask
static TObject::EStatusBits	TObject::kCanDelete
static TObject::EStatusBits	TObject::kCannotPick
static TObject::EStatusBits	TObject::kHasUUID
static TObject::EStatusBits	TObject::kInvalidObject
static TObject::(anonymous)	TObject::kIsOnHeap
static TObject::EStatusBits	TObject::kIsReferenced
static TObject::EStatusBits	TObject::kMustCleanup
static TObject::EStatusBits	TObject::kNoContextMenu
static TObject::(anonymous)	TObject::kNotDeleted
static TObject::EStatusBits	TObject::kObjInCanvas
static TObject::(anonymous)	TObject::kOverwrite
static TObject::(anonymous)	TObject::kSingleKey
static TObject::(anonymous)	TObject::kWriteDelete
static TObject::(anonymous)	TObject::kZombie

protected:

const RooArgList*	RooStats::HypoTestResult::fAllTestStatisticsData	for the case of multiple test statistics, holds all the results
RooDataSet*	RooStats::HypoTestResult::fAltDetailedOutput
RooStats::SamplingDistribution*	RooStats::HypoTestResult::fAltDistr
Double_t	RooStats::HypoTestResult::fAlternatePValue	p-value for the alternate hypothesis (small number means disfavored)
Double_t	RooStats::HypoTestResult::fAlternatePValueError	error of p-value for the alternate hypothesis (small number means disfavored)
Bool_t	RooStats::HypoTestResult::fBackgroundIsAlt
RooDataSet*	RooStats::HypoTestResult::fFitInfo
TString	TNamed::fName	object identifier
RooDataSet*	RooStats::HypoTestResult::fNullDetailedOutput
RooStats::SamplingDistribution*	RooStats::HypoTestResult::fNullDistr
Double_t	RooStats::HypoTestResult::fNullPValue	p-value for the null hypothesis (small number means disfavored)
Double_t	RooStats::HypoTestResult::fNullPValueError	error of p-value for the null hypothesis (small number means disfavored)
Bool_t	RooStats::HypoTestResult::fPValueIsRightTail
Double_t	RooStats::HypoTestResult::fTestStatisticData	result of the test statistic evaluated on data
TString	TNamed::fTitle	object title

private:

bool	fComputationsAltDoneFlag	flag if the fAlternatePValue computation have been already done or not (ie need to be refreshed)
bool	fComputationsNulDoneFlag	flag if the fNullPValue computation have been already done or not (ie need to be refreshed)
bool	fSumLargerValues	p-value for velues of testStat >= testStat_data (or testStat <= testStat_data)
vector<double>	fTestStat_b	vector of results for B-only toy-MC
double	fTestStat_data	results (test statistics) evaluated for data
vector<double>	fTestStat_sb	vector of results for S+B toy-MC

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

HybridResult(const char* name = 0)

 HybridResult default constructor (with name )

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

 HybridResult constructor (with name, title and vectors of S+B and B values)

~HybridResult()

 HybridResult destructor

void SetDataTestStatistics(double testStat_data_val)

 set the value of the test statistics on data

double NullPValue() const

 return 1-CL_b : the B p-value

double AlternatePValue() const

 return CL_s+b : the S+B p-value

Double_t CLbError() const

 Returns an estimate of the error on CLb assuming a binomial error on
 CLb:

Double_t CLsplusbError() const

 Returns an estimate of the error on CLsplusb assuming a binomial
 error on CLsplusb:

Double_t CLsError() const

 Returns an estimate of the error on CLs through combination of the
 errors on CLb and CLsplusb:

void Add(RooStats::HybridResult* other)

 add additional toy-MC experiments to the current results
 use the data test statistics of the added object if none is already present (otherwise, ignore the new one)

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

 prepare a plot showing a result and return a pointer to a HybridPlot object
 the needed arguments are: an object name, a title and the number of bins in the plot

void PrintMore(const char* options)

 Print out some information about the results

explicit HybridResult(const char* name = 0)

 Default constructor

std::vector<double> GetTestStat_sb()

 Get test statistics values for the sb model

{return fTestStat_sb;}

std::vector<double> GetTestStat_b()

 Get test statistics values for the b model

{return fTestStat_b;}

double GetTestStat_data()

 Get test statistics value for data

{ return fTestStat_data;}