ROOT  6.07/01
Reference Guide
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Properties Friends Macros Groups Pages
List of all members | Public Types | Public Member Functions | Protected Attributes | Static Protected Attributes | Private Member Functions | Friends | List of all members
RooStats::HypoTestInverterResult Class Reference

HypoTestInverterResult class: holds the array of hypothesis test results and compute a confidence interval.

Based on the RatioFinder code available in the RooStatsCms package developed by Gregory Schott and Danilo Piparo Ported and adapted to RooStats by Gregory Schott Some contributions to this class have been written by Matthias Wolf (error estimation)

Definition at line 38 of file HypoTestInverterResult.h.

Public Types

enum  InterpolOption_t { kLinear, kSpline }
 
- 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) }
 

Public Member Functions

 HypoTestInverterResult (const char *name=0)
 default constructor More...
 
 HypoTestInverterResult (const char *name, const RooRealVar &scannedVariable, double cl)
 constructor More...
 
 HypoTestInverterResult (const HypoTestInverterResult &other, const char *name)
 
virtual ~HypoTestInverterResult ()
 destructor More...
 
HypoTestInverterResultoperator= (const HypoTestInverterResult &other)
 operator = More...
 
int ExclusionCleanup ()
 remove points that appear to have failed. More...
 
bool Add (const HypoTestInverterResult &otherResult)
 merge with the content of another HypoTestInverterResult object More...
 
bool Add (Double_t x, const HypoTestResult &result)
 add the result of a single point (an HypoTestRsult) More...
 
double GetXValue (int index) const
 function to return the value of the parameter of interest for the i^th entry in the results More...
 
double GetYValue (int index) const
 function to return the value of the confidence level for the i^th entry in the results More...
 
double GetYError (int index) const
 function to return the estimated error on the value of the confidence level for the i^th entry in the results More...
 
double CLsplusb (int index) const
 return the observed CLsplusb value for the i-th entry More...
 
double CLb (int index) const
 return the observed CLb value for the i-th entry More...
 
double CLs (int index) const
 return the observed CLb value for the i-th entry More...
 
double CLsplusbError (int index) const
 return the observed CLsplusb value for the i-th entry More...
 
double CLbError (int index) const
 return the observed CLb value for the i-th entry More...
 
double CLsError (int index) const
 return the observed CLb value for the i-th entry More...
 
HypoTestResultGetResult (int index) const
 return a pointer to the i^th result object More...
 
double GetLastYValue () const
 
double GetLastXValue () const
 
double GetLastYError () const
 
HypoTestResultGetLastResult () const
 
int ArraySize () const
 number of entries in the results array More...
 
int FindIndex (double xvalue) const
 
virtual void SetTestSize (Double_t size)
 set the size of the test (rate of Type I error) (eg. 0.05 for a 95% Confidence Interval) More...
 
virtual void SetConfidenceLevel (Double_t cl)
 set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval) More...
 
void SetCLsCleanupThreshold (Double_t th)
 set CLs threshold for exclusion cleanup function More...
 
void UseCLs (bool on=true)
 flag to switch between using CLsb (default) or CLs as confidence level More...
 
bool IsOneSided () const
 query if one sided result More...
 
bool IsTwoSided () const
 query if two sided result More...
 
Double_t LowerLimit ()
 lower and upper bound of the confidence interval (to get upper/lower limits, multiply the size( = 1-confidence level ) by 2 More...
 
Double_t UpperLimit ()
 
Double_t LowerLimitEstimatedError ()
 rough estimation of the error on the computed bound of the confidence interval Estimate of lower limit error function evaluates only a rought error on the lower limit. More...
 
Double_t UpperLimitEstimatedError ()
 Estimate of lower limit error function evaluates only a rought error on the lower limit. More...
 
SamplingDistributionGetExpectedPValueDist (int index) const
 return expected distribution of p-values (Cls or Clsplusb) More...
 
SamplingDistributionGetBackgroundTestStatDist (int index) const
 
SamplingDistributionGetSignalAndBackgroundTestStatDist (int index) const
 
SamplingDistributionGetNullTestStatDist (int index) const
 same in terms of alt and null More...
 
SamplingDistributionGetAltTestStatDist (int index) const
 
SamplingDistributionGetLowerLimitDistribution () const
 get expected lower limit distributions implemented using interpolation The size for the sampling distribution is given (by default is given by the average number of toy/point) More...
 
SamplingDistributionGetUpperLimitDistribution () const
 get expected upper limit distributions implemented using interpolation More...
 
double GetExpectedLowerLimit (double nsig=0, const char *opt="") const
 get Limit value correspnding at the desired nsigma level (0) is median -1 sigma is 1 sigma More...
 
double GetExpectedUpperLimit (double nsig=0, const char *opt="") const
 get Limit value correspnding at the desired nsigma level (0) is median -1 sigma is 1 sigma More...
 
double FindInterpolatedLimit (double target, bool lowSearch=false, double xmin=1, double xmax=0)
 
void SetInterpolationOption (InterpolOption_t opt)
 set the interpolation option, linear (kLinear ) or spline (kSpline) More...
 
InterpolOption_t GetInterpolationOption () const
 
- Public Member Functions inherited from RooStats::SimpleInterval
 SimpleInterval (const char *name=0)
 Default constructor. More...
 
 SimpleInterval (const SimpleInterval &other, const char *name)
 fParameters.add( other.fParameters ); More...
 
SimpleIntervaloperator= (const SimpleInterval &other)
 
 SimpleInterval (const char *name, const RooRealVar &var, Double_t lower, Double_t upper, Double_t cl)
 Alternate constructor. More...
 
virtual ~SimpleInterval ()
 Destructor. More...
 
virtual Bool_t IsInInterval (const RooArgSet &) const
 check if given point is in the interval More...
 
virtual Double_t ConfidenceLevel () const
 return confidence level More...
 
virtual RooArgSetGetParameters () const
 return cloned list of parameters More...
 
Bool_t CheckParameters (const RooArgSet &) const
 check if parameters are correct (i.e. they are the POI of this interval) More...
 
- Public Member Functions inherited from RooStats::ConfInterval
 ConfInterval (const char *name=0)
 constructor given name and title More...
 
virtual ~ConfInterval ()
 destructor More...
 
ConfIntervaloperator= (const ConfInterval &other)
 operator= More...
 
- 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)
 
TNamedoperator= (const TNamed &rhs)
 TNamed assignment operator. More...
 
virtual ~TNamed ()
 
virtual void Clear (Option_t *option="")
 Set name and title to empty strings (""). More...
 
virtual TObjectClone (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...
 
TObjectoperator= (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 TObjectDrawClone (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 TObjectFindObject (const char *name) const
 Must be redefined in derived classes. More...
 
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes. More...
 
virtual Option_tGetDrawOption () 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_tGetOption () 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...
 
voidoperator new (size_t sz)
 
voidoperator new[] (size_t sz)
 
voidoperator new (size_t sz, void *vp)
 
voidoperator 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

bool fUseCLs
 
bool fIsTwoSided
 
bool fInterpolateLowerLimit
 two sided scan (look for lower/upper limit) More...
 
bool fInterpolateUpperLimit
 
bool fFittedLowerLimit
 
bool fFittedUpperLimit
 
InterpolOption_t fInterpolOption
 
double fLowerLimitError
 interpolatation option (linear or spline) More...
 
double fUpperLimitError
 
double fCLsCleanupThreshold
 
std::vector< doublefXValues
 max sigma value used to scan asymptotic expected p values More...
 
TList fYObjects
 
TList fExpPValues
 list of HypoTestResult for each point More...
 
- Protected Attributes inherited from RooStats::SimpleInterval
Double_t fLowerLimit
 
Double_t fUpperLimit
 
Double_t fConfidenceLevel
 
- Protected Attributes inherited from TNamed
TString fName
 
TString fTitle
 

Static Protected Attributes

static double fgAsymptoticMaxSigma = 5
 

Private Member Functions

double CalculateEstimatedError (double target, bool lower=true, double xmin=1, double xmax=0)
 
int FindClosestPointIndex (double target, int mode=0, double xtarget=0)
 
SamplingDistributionGetLimitDistribution (bool lower) const
 
double GetExpectedLimit (double nsig, bool lower, const char *opt="") const
 
double GetGraphX (const TGraph &g, double y0, bool lowSearch, double &xmin, double &xmax) const
 
double GetGraphX (const TGraph &g, double y0, bool lowSearch=true) const
 

Friends

class HypoTestInverter
 list of expected sampling distribution for each point More...
 
class HypoTestInverterPlot
 
class HypoTestInverterOriginal
 

Additional Inherited Members

- 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 RooStats::SimpleInterval
 ClassDef (SimpleInterval, 1) RooArgSet fParameters
 
- 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/HypoTestInverterResult.h>

Inheritance diagram for RooStats::HypoTestInverterResult:
[legend]

Member Enumeration Documentation

Enumerator
kLinear 
kSpline 

Definition at line 174 of file HypoTestInverterResult.h.

Constructor & Destructor Documentation

RooStats::HypoTestInverterResult::HypoTestInverterResult ( const char *  name = 0)
explicit

default constructor

HypoTestInverterResult::HypoTestInverterResult ( const char *  name,
const RooRealVar scannedVariable,
double  cl 
)

constructor

Definition at line 127 of file HypoTestInverterResult.cxx.

HypoTestInverterResult::HypoTestInverterResult ( const HypoTestInverterResult other,
const char *  name 
)

Definition at line 64 of file HypoTestInverterResult.cxx.

HypoTestInverterResult::~HypoTestInverterResult ( )
virtual

destructor

Definition at line 273 of file HypoTestInverterResult.cxx.

Member Function Documentation

bool HypoTestInverterResult::Add ( const HypoTestInverterResult otherResult)

merge with the content of another HypoTestInverterResult object

Definition at line 280 of file HypoTestInverterResult.cxx.

bool RooStats::HypoTestInverterResult::Add ( Double_t  x,
const HypoTestResult result 
)

add the result of a single point (an HypoTestRsult)

int RooStats::HypoTestInverterResult::ArraySize ( ) const
inline
Double_t HypoTestInverterResult::CalculateEstimatedError ( double  target,
bool  lower = true,
double  xmin = 1,
double  xmax = 0 
)
private
double HypoTestInverterResult::CLb ( int  index) const

return the observed CLb value for the i-th entry

Definition at line 438 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup(), and RooStats::HypoTestInverterPlot::MakePlot().

double HypoTestInverterResult::CLbError ( int  index) const

return the observed CLb value for the i-th entry

Definition at line 467 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup(), and RooStats::HypoTestInverterPlot::MakePlot().

double HypoTestInverterResult::CLs ( int  index) const

return the observed CLb value for the i-th entry

Definition at line 457 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup(), GetYValue(), and RooStats::HypoTestInverterPlot::MakePlot().

double HypoTestInverterResult::CLsError ( int  index) const

return the observed CLb value for the i-th entry

Definition at line 486 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup(), GetYError(), and RooStats::HypoTestInverterPlot::MakePlot().

double HypoTestInverterResult::CLsplusb ( int  index) const

return the observed CLsplusb value for the i-th entry

Definition at line 448 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup(), GetYValue(), and RooStats::HypoTestInverterPlot::MakePlot().

double HypoTestInverterResult::CLsplusbError ( int  index) const

return the observed CLsplusb value for the i-th entry

Definition at line 477 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup(), GetYError(), and RooStats::HypoTestInverterPlot::MakePlot().

int HypoTestInverterResult::ExclusionCleanup ( )

remove points that appear to have failed.

Definition at line 154 of file HypoTestInverterResult.cxx.

int HypoTestInverterResult::FindClosestPointIndex ( double  target,
int  mode = 0,
double  xtarget = 0 
)
private
int HypoTestInverterResult::FindIndex ( double  xvalue) const

Definition at line 508 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup().

double HypoTestInverterResult::FindInterpolatedLimit ( double  target,
bool  lowSearch = false,
double  xmin = 1,
double  xmax = 0 
)

Definition at line 655 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup(), LowerLimit(), and UpperLimit().

SamplingDistribution* RooStats::HypoTestInverterResult::GetAltTestStatDist ( int  index) const
inline
SamplingDistribution * HypoTestInverterResult::GetBackgroundTestStatDist ( int  index) const
double HypoTestInverterResult::GetExpectedLimit ( double  nsig,
bool  lower,
const char *  opt = "" 
) const
private

Definition at line 1232 of file HypoTestInverterResult.cxx.

Referenced by GetExpectedLowerLimit(), and GetExpectedUpperLimit().

double HypoTestInverterResult::GetExpectedLowerLimit ( double  nsig = 0,
const char *  opt = "" 
) const

get Limit value correspnding at the desired nsigma level (0) is median -1 sigma is 1 sigma

Definition at line 1198 of file HypoTestInverterResult.cxx.

SamplingDistribution * HypoTestInverterResult::GetExpectedPValueDist ( int  index) const

return expected distribution of p-values (Cls or Clsplusb)

Definition at line 1051 of file HypoTestInverterResult.cxx.

Referenced by ExclusionCleanup(), GetExpectedLimit(), GetLimitDistribution(), and RooStats::HypoTestInverterPlot::MakeExpectedPlot().

double HypoTestInverterResult::GetExpectedUpperLimit ( double  nsig = 0,
const char *  opt = "" 
) const

get Limit value correspnding at the desired nsigma level (0) is median -1 sigma is 1 sigma

Definition at line 1213 of file HypoTestInverterResult.cxx.

double RooStats::HypoTestInverterResult::GetGraphX ( const TGraph g,
double  y0,
bool  lowSearch,
double xmin,
double xmax 
) const
private
double RooStats::HypoTestInverterResult::GetGraphX ( const TGraph g,
double  y0,
bool  lowSearch = true 
) const
inlineprivate

Definition at line 193 of file HypoTestInverterResult.h.

InterpolOption_t RooStats::HypoTestInverterResult::GetInterpolationOption ( ) const
inline

Definition at line 179 of file HypoTestInverterResult.h.

HypoTestResult* RooStats::HypoTestInverterResult::GetLastResult ( ) const
inline

Definition at line 103 of file HypoTestInverterResult.h.

double RooStats::HypoTestInverterResult::GetLastXValue ( ) const
inline

Definition at line 99 of file HypoTestInverterResult.h.

double RooStats::HypoTestInverterResult::GetLastYError ( ) const
inline

Definition at line 101 of file HypoTestInverterResult.h.

Referenced by RooStats::HypoTestInverter::RunLimit().

double RooStats::HypoTestInverterResult::GetLastYValue ( ) const
inline

Definition at line 97 of file HypoTestInverterResult.h.

Referenced by RooStats::HypoTestInverter::RunLimit().

SamplingDistribution * HypoTestInverterResult::GetLimitDistribution ( bool  lower) const
private
SamplingDistribution* RooStats::HypoTestInverterResult::GetLowerLimitDistribution ( ) const
inline

get expected lower limit distributions implemented using interpolation The size for the sampling distribution is given (by default is given by the average number of toy/point)

Definition at line 159 of file HypoTestInverterResult.h.

Referenced by RooStats::HypoTestInverter::GetLowerLimitDistribution().

SamplingDistribution* RooStats::HypoTestInverterResult::GetNullTestStatDist ( int  index) const
inline

same in terms of alt and null

Definition at line 149 of file HypoTestInverterResult.h.

Referenced by CalculateEstimatedError(), and RooStats::HypoTestInverterPlot::MakeExpectedPlot().

HypoTestResult * HypoTestInverterResult::GetResult ( int  index) const
SamplingDistribution * HypoTestInverterResult::GetSignalAndBackgroundTestStatDist ( int  index) const
SamplingDistribution* RooStats::HypoTestInverterResult::GetUpperLimitDistribution ( ) const
inline

get expected upper limit distributions implemented using interpolation

Definition at line 163 of file HypoTestInverterResult.h.

Referenced by RooStats::HypoTestInverter::GetUpperLimitDistribution().

double HypoTestInverterResult::GetXValue ( int  index) const
double HypoTestInverterResult::GetYError ( int  index) const

function to return the estimated error on the value of the confidence level for the i^th entry in the results

Definition at line 424 of file HypoTestInverterResult.cxx.

Referenced by CalculateEstimatedError(), FindClosestPointIndex(), GetLastYError(), RooStats::HypoTestInverterPlot::MakePlot(), and RooStats::HypoTestInverterOriginal::RunAutoScan().

double HypoTestInverterResult::GetYValue ( int  index) const
bool RooStats::HypoTestInverterResult::IsOneSided ( ) const
inline

query if one sided result

Definition at line 123 of file HypoTestInverterResult.h.

bool RooStats::HypoTestInverterResult::IsTwoSided ( ) const
inline

query if two sided result

Definition at line 125 of file HypoTestInverterResult.h.

Double_t HypoTestInverterResult::LowerLimit ( )
virtual

lower and upper bound of the confidence interval (to get upper/lower limits, multiply the size( = 1-confidence level ) by 2

Reimplemented from RooStats::SimpleInterval.

Definition at line 875 of file HypoTestInverterResult.cxx.

Referenced by LowerLimitEstimatedError(), and RooStats::HypoTestInverter::RebuildDistributions().

Double_t HypoTestInverterResult::LowerLimitEstimatedError ( )

rough estimation of the error on the computed bound of the confidence interval Estimate of lower limit error function evaluates only a rought error on the lower limit.

Be careful when using this estimation

Definition at line 1018 of file HypoTestInverterResult.cxx.

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

operator =

Definition at line 91 of file HypoTestInverterResult.cxx.

void RooStats::HypoTestInverterResult::SetCLsCleanupThreshold ( Double_t  th)
inline

set CLs threshold for exclusion cleanup function

Definition at line 117 of file HypoTestInverterResult.h.

virtual void RooStats::HypoTestInverterResult::SetConfidenceLevel ( Double_t  cl)
inlinevirtual

set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval)

Reimplemented from RooStats::SimpleInterval.

Definition at line 114 of file HypoTestInverterResult.h.

Referenced by RooStats::HypoTestInverter::CreateResults(), RooStats::HypoTestInverterOriginal::SetConfidenceLevel(), and RooStats::HypoTestInverter::SetConfidenceLevel().

void RooStats::HypoTestInverterResult::SetInterpolationOption ( InterpolOption_t  opt)
inline

set the interpolation option, linear (kLinear ) or spline (kSpline)

Definition at line 177 of file HypoTestInverterResult.h.

virtual void RooStats::HypoTestInverterResult::SetTestSize ( Double_t  size)
inlinevirtual

set the size of the test (rate of Type I error) (eg. 0.05 for a 95% Confidence Interval)

Definition at line 111 of file HypoTestInverterResult.h.

Referenced by RooStats::HypoTestInverterOriginal::SetTestSize(), and RooStats::HypoTestInverter::SetTestSize().

Double_t HypoTestInverterResult::UpperLimit ( )
virtual
Double_t HypoTestInverterResult::UpperLimitEstimatedError ( )

Estimate of lower limit error function evaluates only a rought error on the lower limit.

Be careful when using this estimation

Definition at line 1028 of file HypoTestInverterResult.cxx.

Referenced by rs801_HypoTestInverterOriginal().

void RooStats::HypoTestInverterResult::UseCLs ( bool  on = true)
inline

Friends And Related Function Documentation

friend class HypoTestInverter
friend

list of expected sampling distribution for each point

Definition at line 221 of file HypoTestInverterResult.h.

friend class HypoTestInverterOriginal
friend

Definition at line 223 of file HypoTestInverterResult.h.

friend class HypoTestInverterPlot
friend

Definition at line 222 of file HypoTestInverterResult.h.

Member Data Documentation

double RooStats::HypoTestInverterResult::fCLsCleanupThreshold
protected

Definition at line 212 of file HypoTestInverterResult.h.

Referenced by ExclusionCleanup(), operator=(), and SetCLsCleanupThreshold().

TList RooStats::HypoTestInverterResult::fExpPValues
protected
bool RooStats::HypoTestInverterResult::fFittedLowerLimit
protected
bool RooStats::HypoTestInverterResult::fFittedUpperLimit
protected
double HypoTestInverterResult::fgAsymptoticMaxSigma = 5
staticprotected
bool RooStats::HypoTestInverterResult::fInterpolateLowerLimit
protected

two sided scan (look for lower/upper limit)

Definition at line 203 of file HypoTestInverterResult.h.

Referenced by LowerLimit(), operator=(), and RooStats::HypoTestInverterOriginal::RunAutoScan().

bool RooStats::HypoTestInverterResult::fInterpolateUpperLimit
protected
InterpolOption_t RooStats::HypoTestInverterResult::fInterpolOption
protected
bool RooStats::HypoTestInverterResult::fIsTwoSided
protected
double RooStats::HypoTestInverterResult::fLowerLimitError
protected

interpolatation option (linear or spline)

Definition at line 209 of file HypoTestInverterResult.h.

Referenced by CalculateEstimatedError(), LowerLimitEstimatedError(), operator=(), and RooStats::HypoTestInverter::RunLimit().

double RooStats::HypoTestInverterResult::fUpperLimitError
protected
bool RooStats::HypoTestInverterResult::fUseCLs
protected
std::vector<double> RooStats::HypoTestInverterResult::fXValues
protected
TList RooStats::HypoTestInverterResult::fYObjects
protected
Collaboration diagram for RooStats::HypoTestInverterResult:
[legend]

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