A RooHist is a graphical representation of binned data based on the TGraphAsymmErrors class.

Error bars are calculated using either Poisson or Binomial statistics. A RooHist is used to represent histograms in a RooPlot.

Definition at line 29 of file RooHist.h.

Public Member Functions
	RooHist ()

	RooHist (const RooAbsReal &f, RooAbsRealLValue &x, double xErrorFrac=1.0, double scaleFactor=1.0, const RooArgSet normVars=nullptr, const RooFitResult fr=nullptr)
	Create histogram from a pdf or function.

	RooHist (const RooHist &hist1, const RooHist &hist2, double wgt1=1.0, double wgt2=1.0, RooAbsData::ErrorType etype=RooAbsData::Poisson, double xErrorFrac=1.0)
	Create histogram as sum of two existing histograms.

	RooHist (const TH1 &data, double nominalBinWidth=0, double nSigma=1, RooAbsData::ErrorType=RooAbsData::Poisson, double xErrorFrac=1.0, bool correctForBinWidth=true, double scaleFactor=1.)
	Create a histogram from the contents of the specified TH1 object which may have fixed or variable bin widths.

	RooHist (const TH1 &data1, const TH1 &data2, double nominalBinWidth=0, double nSigma=1, RooAbsData::ErrorType=RooAbsData::Poisson, double xErrorFrac=1.0, bool efficiency=false, double scaleFactor=1.0)
	Create a histogram from the asymmetry between the specified TH1 objects which may have fixed or variable bin widths, but which must both have the same binning.

	RooHist (double nominalBinWidth, double nSigma=1, double xErrorFrac=1.0, double scaleFactor=1.0)
	Create an empty histogram that can be filled with the addBin() and addAsymmetryBin() methods.

void	addAsymmetryBin (Axis_t binCenter, Int_t n1, Int_t n2, double binWidth=0, double xErrorFrac=1.0, double scaleFactor=1.0)
	Add a bin to this histogram with the value (n1-n2)/(n1+n2) using an error bar calculated with Binomial statistics.

void	addAsymmetryBinWithError (Axis_t binCenter, double n1, double n2, double en1, double en2, double binWidth=0, double xErrorFrac=1.0, double scaleFactor=1.0)
	Add a bin to this histogram with the value (n1-n2)/(n1+n2) using an error bar calculated with Binomial statistics.

void	addBin (Axis_t binCenter, double n, double binWidth=0, double xErrorFrac=1.0, double scaleFactor=1.0)
	Add a bin to this histogram with the specified integer bin contents and using an error bar calculated with Poisson statistics.

void	addBinWithError (Axis_t binCenter, double n, double elow, double ehigh, double binWidth=0, double xErrorFrac=1.0, bool correctForBinWidth=true, double scaleFactor=1.0)
	Add a bin to this histogram with the specified bin contents and error.

void	addBinWithXYError (Axis_t binCenter, double n, double exlow, double exhigh, double eylow, double eyhigh, double scaleFactor=1.0)
	Add a bin to this histogram with the specified bin contents and error.

void	addEfficiencyBin (Axis_t binCenter, Int_t n1, Int_t n2, double binWidth=0, double xErrorFrac=1.0, double scaleFactor=1.0)
	Add a bin to this histogram with the value n1/(n1+n2) using an error bar calculated with Binomial statistics.

void	addEfficiencyBinWithError (Axis_t binCenter, double n1, double n2, double en1, double en2, double binWidth=0, double xErrorFrac=1.0, double scaleFactor=1.0)
	Add a bin to this histogram with the value n1/(n1+n2) using an error bar calculated with Binomial statistics.

double	getFitRangeBinW () const override
	Return (average) bin width of this RooHist.

double	getFitRangeNEvt () const override
	Return the number of events of the dataset associated with this RooHist.

double	getFitRangeNEvt (double xlo, double xhi) const override
	Calculate integral of histogram in given range.

double	getNominalBinWidth () const

bool	hasIdenticalBinning (const RooHist &other) const
	Return true if binning of this RooHist is identical to that of 'other'.

TClass *	IsA () const override

bool	isIdentical (const RooHist &other, double tol=1e-6, bool verbose=true) const
	Return true if contents of this RooHist is identical within given relative tolerance to that of 'other'.

RooHist *	makePullHist (const RooCurve &curve, bool useAverage=false) const

RooHist *	makeResidHist (const RooCurve &curve, bool normalize=false, bool useAverage=false) const
	Create and return RooHist containing residuals w.r.t to given curve.

void	Print (Option_t *options=nullptr) const override
	This method must be overridden when a class wants to print itself.

void	printClassName (std::ostream &os) const override
	Print class name of RooHist.

void	printMultiline (std::ostream &os, Int_t content, bool verbose=false, TString indent="") const override
	Print info about this histogram to the specified output stream.

void	printName (std::ostream &os) const override
	Print name of RooHist.

void	printTitle (std::ostream &os) const override
	Print title of RooHist.

void	setRawEntries (double n)

void	Streamer (TBuffer &) override
	Stream an object of class TObject.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Public Member Functions inherited from TGraphAsymmErrors
	TGraphAsymmErrors ()
	TGraphAsymmErrors default constructor.

	TGraphAsymmErrors (const char filename, const char format="%lg %lg %lg %lg %lg %lg", Option_t *option="")
	TGraphAsymmErrors constructor reading input from filename filename is assumed to contain at least 2 columns of numbers.

	TGraphAsymmErrors (const TGraphAsymmErrors &gr)
	TGraphAsymmErrors copy constructor.

	TGraphAsymmErrors (const TH1 *h)
	TGraphAsymmErrors constructor importing its parameters from the TH1 object passed as argument the low and high errors are set to the bin error of the histogram.

	TGraphAsymmErrors (const TH1 pass, const TH1 total, Option_t *option="")
	Creates a TGraphAsymmErrors by dividing two input TH1 histograms: pass/total.

	TGraphAsymmErrors (const TVectorD &vx, const TVectorD &vy, const TVectorD &vexl, const TVectorD &vexh, const TVectorD &veyl, const TVectorD &veyh)
	Constructor with six vectors of doubles in input A grapherrors is built with the X coordinates taken from vx and Y coord from vy and the errors from vectors vexl/h and veyl/h.

	TGraphAsymmErrors (const TVectorF &vx, const TVectorF &vy, const TVectorF &vexl, const TVectorF &vexh, const TVectorF &veyl, const TVectorF &veyh)
	Constructor with six vectors of floats in input A grapherrors is built with the X coordinates taken from vx and Y coord from vy and the errors from vectors vexl/h and veyl/h.

	TGraphAsymmErrors (Int_t n)
	TGraphAsymmErrors normal constructor.

	TGraphAsymmErrors (Int_t n, const Double_t x, const Double_t y, const Double_t exl=nullptr, const Double_t exh=nullptr, const Double_t eyl=nullptr, const Double_t eyh=nullptr)
	TGraphAsymmErrors normal constructor.

	TGraphAsymmErrors (Int_t n, const Float_t x, const Float_t y, const Float_t exl=nullptr, const Float_t exh=nullptr, const Float_t eyl=nullptr, const Float_t eyh=nullptr)
	TGraphAsymmErrors normal constructor.

	~TGraphAsymmErrors () override
	TGraphAsymmErrors default destructor.

void	Apply (TF1 *f) override
	Apply a function to all data points \( y = f(x,y) \).

virtual void	BayesDivide (const TH1 pass, const TH1 total, Option_t *opt="")
	This function is only kept for backward compatibility.

void	ComputeRange (Double_t &xmin, Double_t &ymin, Double_t &xmax, Double_t &ymax) const override
	Compute Range.

virtual void	Divide (const TH1 pass, const TH1 total, Option_t *opt="cp")
	Fill this TGraphAsymmErrors by dividing two 1-dimensional histograms pass/total.

Double_t	GetErrorX (Int_t bin) const override
	Returns the combined error along X at point i by computing the average of the lower and upper variance.

Double_t	GetErrorXhigh (Int_t i) const override
	Get high error on X.

Double_t	GetErrorXlow (Int_t i) const override
	Get low error on X.

Double_t	GetErrorY (Int_t bin) const override
	Returns the combined error along Y at point i by computing the average of the lower and upper variance.

Double_t	GetErrorYhigh (Int_t i) const override
	Get high error on Y.

Double_t	GetErrorYlow (Int_t i) const override
	Get low error on Y.

Double_t *	GetEXhigh () const override

Double_t *	GetEXlow () const override

Double_t *	GetEYhigh () const override

Double_t *	GetEYlow () const override

TClass *	IsA () const override

Int_t	Merge (TCollection *list) override
	Adds all graphs with asymmetric errors from the collection to this graph.

TGraphAsymmErrors &	operator= (const TGraphAsymmErrors &gr)
	TGraphAsymmErrors assignment operator.

void	Print (Option_t *chopt="") const override
	Print graph and errors values.

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

void	Scale (Double_t c1=1., Option_t *option="y") override
	Multiply the values and errors of a TGraphAsymmErrors by a constant c1.

virtual void	SetPointError (Double_t exl, Double_t exh, Double_t eyl, Double_t eyh)
	Set ex and ey values for point pointed by the mouse.

virtual void	SetPointError (Int_t i, Double_t exl, Double_t exh, Double_t eyl, Double_t eyh)
	Set ex and ey values for point number i.

virtual void	SetPointEXhigh (Int_t i, Double_t exh)
	Set EXhigh for point `i`.

virtual void	SetPointEXlow (Int_t i, Double_t exl)
	Set EXlow for point `i`.

virtual void	SetPointEYhigh (Int_t i, Double_t eyh)
	Set EYhigh for point `i`.

virtual void	SetPointEYlow (Int_t i, Double_t eyl)
	Set EYlow for point `i`.

void	Streamer (TBuffer &) override
	Stream an object of class TGraphAsymmErrors.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Public Member Functions inherited from TGraph
	TGraph ()
	Graph default constructor.

	TGraph (const char filename, const char format="%lg %lg", Option_t *option="")
	Graph constructor reading input from filename.

	TGraph (const TF1 f, Option_t option="")
	Graph constructor importing its parameters from the TF1 object passed as argument.

	TGraph (const TGraph &gr)
	Copy constructor for this graph.

	TGraph (const TH1 *h)
	Graph constructor importing its parameters from the TH1 object passed as argument.

	TGraph (const TVectorD &vx, const TVectorD &vy)
	Graph constructor with two vectors of doubles in input A graph is build with the X coordinates taken from vx and Y coord from vy The number of points in the graph is the minimum of number of points in vx and vy.

	TGraph (const TVectorF &vx, const TVectorF &vy)
	Graph constructor with two vectors of floats in input A graph is build with the X coordinates taken from vx and Y coord from vy The number of points in the graph is the minimum of number of points in vx and vy.

	TGraph (Int_t n)
	Constructor with only the number of points set the arrays x and y will be set later.

	TGraph (Int_t n, const Double_t x, const Double_t y)
	Graph normal constructor with doubles.

	TGraph (Int_t n, const Double_t *y, Double_t start=0., Double_t step=1.)
	Default X-Points constructor.

	TGraph (Int_t n, const Float_t x, const Float_t y)
	Graph normal constructor with floats.

	TGraph (Int_t n, const Int_t x, const Int_t y)
	Graph normal constructor with ints.

	~TGraph () override
	Graph default destructor.

virtual void	AddPoint (Double_t x, Double_t y)
	Append a new point to the graph.

void	Browse (TBrowser *b) override
	Browse.

virtual Double_t	Chisquare (TF1 f1, Option_t option="") const
	Return the chisquare of this graph with respect to f1.

Int_t	DistancetoPrimitive (Int_t px, Int_t py) override
	Compute distance from point px,py to a graph.

void	Draw (Option_t *chopt="") override
	Draw this graph with its current attributes.

virtual void	DrawGraph (Int_t n, const Double_t x=nullptr, const Double_t y=nullptr, Option_t *option="")
	Draw this graph with new attributes.

virtual void	DrawGraph (Int_t n, const Float_t x, const Float_t y, Option_t *option="")
	Draw this graph with new attributes.

virtual void	DrawGraph (Int_t n, const Int_t x, const Int_t y, Option_t *option="")
	Draw this graph with new attributes.

virtual void	DrawPanel ()
	Display a panel with all graph drawing options.

virtual Double_t	Eval (Double_t x, TSpline spline=nullptr, Option_t option="") const
	Interpolate points in this graph at x using a TSpline.

void	ExecuteEvent (Int_t event, Int_t px, Int_t py) override
	Execute action corresponding to one event.

virtual void	Expand (Int_t newsize)
	If array sizes <= newsize, expand storage to 2*newsize.

virtual void	Expand (Int_t newsize, Int_t step)
	If graph capacity is less than newsize points then make array sizes equal to least multiple of step to contain newsize points.

TObject *	FindObject (const char *name) const override
	Search object named name in the list of functions.

TObject *	FindObject (const TObject *obj) const override
	Search object obj in the list of functions.

virtual TFitResultPtr	Fit (const char formula, Option_t option="", Option_t *goption="", Axis_t xmin=0, Axis_t xmax=0)
	Fit this graph with function with name `fname`.

virtual TFitResultPtr	Fit (TF1 f1, Option_t option="", Option_t *goption="", Axis_t xmin=0, Axis_t xmax=0)
	Fit this graph with function f1.

virtual void	FitPanel ()
	Display a GUI panel with all graph fit options.

virtual Double_t	GetCorrelationFactor () const
	Return graph correlation factor.

virtual Double_t	GetCovariance () const
	Return covariance of vectors x,y.

Bool_t	GetEditable () const
	Return kTRUE if kNotEditable bit is not set, kFALSE otherwise.

virtual Double_t *	GetEX () const

virtual Double_t *	GetEXhighd () const

virtual Double_t *	GetEXlowd () const

virtual Double_t *	GetEY () const

virtual Double_t *	GetEYhighd () const

virtual Double_t *	GetEYlowd () const

TF1 *	GetFunction (const char *name) const
	Return pointer to function with name.

virtual TH1F *	GetHistogram () const
	Returns a pointer to the histogram used to draw the axis Takes into account the two following cases.

TList *	GetListOfFunctions () const

Double_t	GetMaximum () const

Int_t	GetMaxSize () const

virtual Double_t	GetMean (Int_t axis=1) const
	Return mean value of X (axis=1) or Y (axis=2)

Double_t	GetMinimum () const

Int_t	GetN () const

char *	GetObjectInfo (Int_t px, Int_t py) const override
	Implementation to get information on point of graph at cursor position Adapted from class TH1.

virtual Int_t	GetPoint (Int_t i, Double_t &x, Double_t &y) const
	Get x and y values for point number i.

virtual Double_t	GetPointX (Int_t i) const
	Get x value for point i.

virtual Double_t	GetPointY (Int_t i) const
	Get y value for point i.

virtual Double_t	GetRMS (Int_t axis=1) const
	Return RMS of X (axis=1) or Y (axis=2)

Double_t *	GetX () const

TAxis *	GetXaxis () const
	Get x axis of the graph.

Double_t *	GetY () const

TAxis *	GetYaxis () const
	Get y axis of the graph.

virtual void	InitExpo (Double_t xmin=0, Double_t xmax=0)
	Compute Initial values of parameters for an exponential.

virtual void	InitGaus (Double_t xmin=0, Double_t xmax=0)
	Compute Initial values of parameters for a gaussian.

virtual void	InitPolynom (Double_t xmin=0, Double_t xmax=0)
	Compute Initial values of parameters for a polynom.

virtual Int_t	InsertPoint ()
	Insert a new point at the mouse position.

virtual void	InsertPointBefore (Int_t ipoint, Double_t x, Double_t y)
	Insert a new point with coordinates (x,y) before the point number `ipoint`.

virtual Double_t	Integral (Int_t first=0, Int_t last=-1) const
	Integrate the TGraph data within a given (index) range.

virtual Bool_t	IsEditable () const

virtual Bool_t	IsHighlight () const

virtual Int_t	IsInside (Double_t x, Double_t y) const
	Return 1 if the point (x,y) is inside the polygon defined by the graph vertices 0 otherwise.

virtual void	LeastSquareFit (Int_t m, Double_t *a, Double_t xmin=0, Double_t xmax=0)
	Least squares polynomial fitting without weights.

virtual void	LeastSquareLinearFit (Int_t n, Double_t &a0, Double_t &a1, Int_t &ifail, Double_t xmin=0, Double_t xmax=0)
	Least square linear fit without weights.

virtual void	MovePoints (Double_t dx, Double_t dy, Bool_t logx=kFALSE, Bool_t logy=kFALSE)
	Move all graph points on specified values dx,dy If log argument specified, calculation done in logarithmic scale like: new_value = exp( log(old_value) + delta );.

TGraph &	operator= (const TGraph &)
	Equal operator for this graph.

void	Paint (Option_t *chopt="") override
	Draw this graph with its current attributes.

void	PaintGraph (Int_t npoints, const Double_t x, const Double_t y, Option_t *chopt)
	Draw the (x,y) as a graph.

void	PaintGrapHist (Int_t npoints, const Double_t x, const Double_t y, Option_t *chopt)
	Draw the (x,y) as a histogram.

virtual void	PaintStats (TF1 *fit)
	Draw the stats.

void	RecursiveRemove (TObject *obj) override
	Recursively remove object from the list of functions.

virtual Int_t	RemovePoint ()
	Delete point close to the mouse position Returns index of removed point (or -1 if nothing was changed)

virtual Int_t	RemovePoint (Int_t ipoint)
	Delete point number ipoint Returns index of removed point (or -1 if nothing was changed)

void	SaveAs (const char filename, Option_t option="") const override
	Save the graph as .csv, .tsv or .txt.

virtual void	Set (Int_t n)
	Set number of points in the graph Existing coordinates are preserved New coordinates above fNpoints are preset to 0.

virtual void	SetEditable (Bool_t editable=kTRUE)
	if editable=kFALSE, the graph cannot be modified with the mouse by default a TGraph is editable

virtual void	SetHighlight (Bool_t set=kTRUE)
	Set highlight (enable/disble) mode for the graph by default highlight mode is disable.

virtual void	SetHistogram (TH1F *h)

virtual void	SetMaximum (Double_t maximum=-1111)
	Set the maximum of the graph.

virtual void	SetMinimum (Double_t minimum=-1111)
	Set the minimum of the graph.

void	SetName (const char *name="") override
	Set graph name.

void	SetNameTitle (const char name="", const char title="") override
	Set graph name and title.

virtual void	SetPoint (Int_t i, Double_t x, Double_t y)
	Set x and y values for point number i.

virtual void	SetPointX (Int_t i, Double_t x)
	Set x value for point i.

virtual void	SetPointY (Int_t i, Double_t y)
	Set y value for point i.

virtual void	SetStats (Bool_t stats=kTRUE)
	Set statistics option on/off.

void	SetTitle (const char *title="") override
	Change (i.e.

virtual void	Sort (Bool_t(greater)(const TGraph , Int_t, Int_t)=&TGraph::CompareX, Bool_t ascending=kTRUE, Int_t low=0, Int_t high=-1111)
	Sorts the points of this TGraph using in-place quicksort (see e.g.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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

void	Zero (Int_t &k, Double_t AZ, Double_t BZ, Double_t E2, Double_t &X, Double_t &Y, Int_t maxiterations)
	Find zero of a continuous function.

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TNamed &named)
	TNamed copy ctor.

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

virtual	~TNamed ()
	TNamed destructor.

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

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

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

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

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

const char *	GetName () const override
	Returns name of object.

const char *	GetTitle () const override
	Returns title of object.

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

TClass *	IsA () const override

Bool_t	IsSortable () const override

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

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

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

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

void	Streamer (TBuffer &) override
	Stream an object of class TObject.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Public Member Functions inherited from TObject
	TObject ()
	TObject constructor.

	TObject (const TObject &object)
	TObject copy ctor.

virtual	~TObject ()
	TObject destructor.

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

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

ULong_t	CheckedHash ()
	Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.

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

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

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

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current selected pad with: `gROOT->SetSelectedPad(c1)`.

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

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

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

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

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

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

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

virtual Option_t *	GetOption () const

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

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

Bool_t	HasInconsistentHash () const
	Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.

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

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

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

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

void	InvertBit (UInt_t f)

Bool_t	IsDestructed () const
	IsDestructed.

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

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

R__ALWAYS_INLINE Bool_t	IsOnHeap () const

R__ALWAYS_INLINE Bool_t	IsZombie () const

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).

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification (the base implementation is no-op).

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

void	operator delete (void *ptr)
	Operator delete.

void	operator delete (void ptr, void vp)
	Only called by placement new when throwing an exception.

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

void	operator delete[] (void ptr, void vp)
	Only called by placement new[] when throwing an exception.

void *	operator new (size_t sz)

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

void *	operator new[] (size_t sz)

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

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

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

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

void	ResetBit (UInt_t f)

void	SetBit (UInt_t f)

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

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

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

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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

R__ALWAYS_INLINE Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

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

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

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

Public Member Functions inherited from TAttLine
	TAttLine ()
	AttLine default constructor.

	TAttLine (Color_t lcolor, Style_t lstyle, Width_t lwidth)
	AttLine normal constructor.

virtual	~TAttLine ()
	AttLine destructor.

void	Copy (TAttLine &attline) const
	Copy this line attributes to a new TAttLine.

Int_t	DistancetoLine (Int_t px, Int_t py, Double_t xp1, Double_t yp1, Double_t xp2, Double_t yp2)
	Compute distance from point px,py to a line.

virtual Color_t	GetLineColor () const
	Return the line color.

virtual Style_t	GetLineStyle () const
	Return the line style.

virtual Width_t	GetLineWidth () const
	Return the line width.

virtual void	Modify ()
	Change current line attributes if necessary.

virtual void	ResetAttLine (Option_t *option="")
	Reset this line attributes to default values.

virtual void	SaveLineAttributes (std::ostream &out, const char *name, Int_t coldef=1, Int_t stydef=1, Int_t widdef=1)
	Save line attributes as C++ statement(s) on output stream out.

virtual void	SetLineAttributes ()
	Invoke the DialogCanvas Line attributes.

virtual void	SetLineColor (Color_t lcolor)
	Set the line color.

virtual void	SetLineColorAlpha (Color_t lcolor, Float_t lalpha)
	Set a transparent line color.

virtual void	SetLineStyle (Style_t lstyle)
	Set the line style.

virtual void	SetLineWidth (Width_t lwidth)
	Set the line width.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Public Member Functions inherited from TAttFill
	TAttFill ()
	AttFill default constructor.

	TAttFill (Color_t fcolor, Style_t fstyle)
	AttFill normal constructor.

virtual	~TAttFill ()
	AttFill destructor.

void	Copy (TAttFill &attfill) const
	Copy this fill attributes to a new TAttFill.

virtual Color_t	GetFillColor () const
	Return the fill area color.

virtual Style_t	GetFillStyle () const
	Return the fill area style.

virtual Bool_t	IsTransparent () const

virtual void	Modify ()
	Change current fill area attributes if necessary.

virtual void	ResetAttFill (Option_t *option="")
	Reset this fill attributes to default values.

virtual void	SaveFillAttributes (std::ostream &out, const char *name, Int_t coldef=1, Int_t stydef=1001)
	Save fill attributes as C++ statement(s) on output stream out.

virtual void	SetFillAttributes ()
	Invoke the DialogCanvas Fill attributes.

virtual void	SetFillColor (Color_t fcolor)
	Set the fill area color.

virtual void	SetFillColorAlpha (Color_t fcolor, Float_t falpha)
	Set a transparent fill color.

virtual void	SetFillStyle (Style_t fstyle)
	Set the fill area style.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Public Member Functions inherited from TAttMarker
	TAttMarker ()
	TAttMarker default constructor.

	TAttMarker (Color_t color, Style_t style, Size_t msize)
	TAttMarker normal constructor.

virtual	~TAttMarker ()
	TAttMarker destructor.

void	Copy (TAttMarker &attmarker) const
	Copy this marker attributes to a new TAttMarker.

virtual Color_t	GetMarkerColor () const
	Return the marker color.

virtual Size_t	GetMarkerSize () const
	Return the marker size.

virtual Style_t	GetMarkerStyle () const
	Return the marker style.

virtual void	Modify ()
	Change current marker attributes if necessary.

virtual void	ResetAttMarker (Option_t *toption="")
	Reset this marker attributes to the default values.

virtual void	SaveMarkerAttributes (std::ostream &out, const char *name, Int_t coldef=1, Int_t stydef=1, Int_t sizdef=1)
	Save line attributes as C++ statement(s) on output stream out.

virtual void	SetMarkerAttributes ()
	Invoke the DialogCanvas Marker attributes.

virtual void	SetMarkerColor (Color_t mcolor=1)
	Set the marker color.

virtual void	SetMarkerColorAlpha (Color_t mcolor, Float_t malpha)
	Set a transparent marker color.

virtual void	SetMarkerSize (Size_t msize=1)
	Set the marker size.

virtual void	SetMarkerStyle (Style_t mstyle=1)
	Set the marker style.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Public Member Functions inherited from RooPlotable
TObject *	crossCast ()
	Return cast of RooPlotable as TObject.

const char *	getYAxisLabel () const

double	getYAxisMax () const

double	getYAxisMin () const

TClass *	IsA () const override

void	printMultiline (std::ostream &os, Int_t contents, bool verbose=false, TString indent="") const override
	Print detailed information.

void	setYAxisLabel (const char *label)

void	setYAxisLimits (double ymin, double ymax)

void	Streamer (TBuffer &) override

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

void	updateYAxisLimits (double y)

Public Member Functions inherited from RooPrintable
	RooPrintable ()

virtual	~RooPrintable ()

virtual Int_t	defaultPrintContents (Option_t *opt) const
	Default choice of contents to be printed (name and value)

virtual StyleOption	defaultPrintStyle (Option_t *opt) const

virtual void	printAddress (std::ostream &os) const
	Print class name of object.

virtual void	printArgs (std::ostream &os) const
	Interface for printing of object arguments.

virtual void	printExtras (std::ostream &os) const
	Interface to print extras of object.

virtual void	printStream (std::ostream &os, Int_t contents, StyleOption style, TString indent="") const
	Print description of object on ostream, printing contents set by contents integer, which is interpreted as an OR of 'enum ContentsOptions' values and in the style given by 'enum StyleOption'.

virtual void	printTree (std::ostream &os, TString indent="") const
	Interface for tree structure printing of object.

virtual void	printValue (std::ostream &os) const
	Interface to print value of object.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Static Public Member Functions
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TGraphAsymmErrors
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TGraph
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static Bool_t	CompareArg (const TGraph *gr, Int_t left, Int_t right)
	Return kTRUE if point number "left"'s argument (angle with respect to positive x-axis) is bigger than that of point number "right".

static Bool_t	CompareRadius (const TGraph *gr, Int_t left, Int_t right)
	Return kTRUE if point number "left"'s distance to origin is bigger than that of point number "right".

static Bool_t	CompareX (const TGraph *gr, Int_t left, Int_t right)
	Return kTRUE if fX[left] > fX[right]. Can be used by Sort.

static Bool_t	CompareY (const TGraph *gr, Int_t left, Int_t right)
	Return kTRUE if fY[left] > fY[right]. Can be used by Sort.

static const char *	DeclFileName ()

Static Public Member Functions inherited from TNamed
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TObject
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

static Longptr_t	GetDtorOnly ()
	Return destructor only flag.

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

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

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

Static Public Member Functions inherited from TAttLine
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TAttFill
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TAttMarker
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

static Width_t	GetMarkerLineWidth (Style_t style)
	Internal helper function that returns the line width of the given marker style (0 = filled marker)

static Style_t	GetMarkerStyleBase (Style_t style)
	Internal helper function that returns the corresponding marker style with line width 1 for the given style.

Static Public Member Functions inherited from RooPlotable
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from RooPrintable
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

static std::ostream &	defaultPrintStream (std::ostream *os=nullptr)
	Return a reference to the current default stream to use in Print().

static void	nameFieldLength (Int_t newLen)
	Set length of field reserved from printing name of RooAbsArgs in multi-line collection printing to given amount.

Protected Member Functions
std::unique_ptr< RooHist >	createEmptyResidHist (const RooCurve &curve, bool normalize=false) const

void	fillResidHist (RooHist &residHist, const RooCurve &curve, bool normalize=false, bool useAverage=false) const

void	initialize ()
	Perform common initialization for all constructors.

Int_t	roundBin (double y)
	Return the nearest positive integer to the input value and print a warning if an adjustment is required.

Protected Member Functions inherited from TGraphAsymmErrors
Double_t **	Allocate (Int_t size) override
	Allocate internal data structures for `size` points.

void	CopyAndRelease (Double_t **newarrays, Int_t ibegin, Int_t iend, Int_t obegin) override
	Copy and release.

Bool_t	CopyPoints (Double_t **arrays, Int_t ibegin, Int_t iend, Int_t obegin) override
	Copy errors from `fE*` to `arrays[]` or to `f**` Copy points.

Bool_t	CtorAllocate ()
	Should be called from ctors after `fNpoints` has been set.

Bool_t	DoMerge (const TGraph *g) override
	Protected function to perform the merge operation of a graph with asymmetric errors.

void	FillZero (Int_t begin, Int_t end, Bool_t from_ctor=kTRUE) override
	Set zero values for point arrays in the range `[begin, end]`

void	SwapPoints (Int_t pos1, Int_t pos2) override
	Swap points.

void	UpdateArrays (const std::vector< Int_t > &sorting_indices, Int_t numSortedPoints, Int_t low) override
	Update the fX, fY, fEXlow, fEXhigh, fEYlow and fEYhigh arrays with the sorted values.

Protected Member Functions inherited from TGraph
Double_t **	AllocateArrays (Int_t Narrays, Int_t arraySize)
	Allocate arrays.

Bool_t	CtorAllocate ()
	In constructors set fNpoints than call this method.

Double_t **	ExpandAndCopy (Int_t size, Int_t iend)
	if size > fMaxSize allocate new arrays of 2*size points and copy iend first points.

TString	SaveArray (std::ostream &out, const char suffix, Int_t frameNumber, Double_t arr)
	Save array as C++ code Returns name of created array.

void	SaveHistogramAndFunctions (std::ostream &out, const char varname, Int_t &frameNumber, Option_t option)
	Save histogram and list of functions of TGraph as C++ statement Used in all TGraph-derived classes.

Double_t **	ShrinkAndCopy (Int_t size, Int_t iend)
	if size*2 <= fMaxSize allocate new arrays of size points, copy points [0,oend).

Protected Member Functions inherited from TObject
virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected).

void	MakeZombie ()

Private Member Functions
void	addPoint (Axis_t binCenter, double y, double yscale, double exlow, double exhigh, double eylow, double eyhigh)

Private Attributes
double	_entries = 0.0
	Number of entries in histogram.

double	_nominalBinWidth = 1.0
	Average bin width.

double	_nSigma = 1.0
	Number of 'sigmas' error bars represent.

std::vector< double >	_originalWeights
	The original bin weights that were passed to the `RooHist::addBin` functions before scaling and bin width correction.

double	_rawEntries = 0.0
	Number of entries in source dataset.

Friends
class	RooPlot

Additional Inherited Members
Public Types inherited from TGraph
enum	EStatusBits { kNoStats = (1ULL << ( 9 )) , kClipFrame = (1ULL << ( 10 )) , kResetHisto = (1ULL << ( 17 )) , kNotEditable = (1ULL << ( 18 )) , kIsSortedX = (1ULL << ( 19 )) , kIsHighlight = (1ULL << ( 20 )) }

Public Types inherited from TObject
enum	{ kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 , kBitMask = 0x00ffffff }

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

enum	EDeprecatedStatusBits { kObjInCanvas = (1ULL << ( 3 )) }

enum	EStatusBits { kCanDelete = (1ULL << ( 0 )) , kMustCleanup = (1ULL << ( 3 )) , kIsReferenced = (1ULL << ( 4 )) , kHasUUID = (1ULL << ( 5 )) , kCannotPick = (1ULL << ( 6 )) , kNoContextMenu = (1ULL << ( 8 )) , kInvalidObject = (1ULL << ( 13 )) }

Public Types inherited from RooPrintable
enum	ContentsOption { kName =1 , kClassName =2 , kValue =4 , kArgs =8 , kExtras =16 , kAddress =32 , kTitle =64 , kCollectionHeader =128 }

enum	StyleOption { kInline =1 , kSingleLine =2 , kStandard =3 , kVerbose =4 , kTreeStructure =5 }

Protected Types inherited from TObject
enum	{ kOnlyPrepStep = (1ULL << ( 3 )) }

Static Protected Member Functions inherited from TGraph
static void	SwapValues (Double_t *arr, Int_t pos1, Int_t pos2)
	Swap values.

Protected Attributes inherited from TGraphAsymmErrors
Double_t *	fEXhigh {nullptr}
	[fNpoints] array of X high errors

Double_t *	fEXlow {nullptr}
	[fNpoints] array of X low errors

Double_t *	fEYhigh {nullptr}
	[fNpoints] array of Y high errors

Double_t *	fEYlow {nullptr}
	[fNpoints] array of Y low errors

Protected Attributes inherited from TGraph
TList *	fFunctions
	Pointer to list of functions (fits and user)

TH1F *	fHistogram
	Pointer to histogram used for drawing axis.

Double_t	fMaximum
	Maximum value for plotting along y.

Int_t	fMaxSize
	!Current dimension of arrays fX and fY

Double_t	fMinimum
	Minimum value for plotting along y.

Int_t	fNpoints
	Number of points <= fMaxSize.

Double_t *	fX
	[fNpoints] array of X points

Double_t *	fY
	[fNpoints] array of Y points

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

Protected Attributes inherited from TAttLine
Color_t	fLineColor
	Line color.

Style_t	fLineStyle
	Line style.

Width_t	fLineWidth
	Line width.

Protected Attributes inherited from TAttFill
Color_t	fFillColor
	Fill area color.

Style_t	fFillStyle
	Fill area style.

Protected Attributes inherited from TAttMarker
Color_t	fMarkerColor
	Marker color.

Size_t	fMarkerSize
	Marker size.

Style_t	fMarkerStyle
	Marker style.

Protected Attributes inherited from RooPlotable
double	_normValue = 0.0

TString	_yAxisLabel

double	_ymax = 0.0

double	_ymin = 0.0

Static Protected Attributes inherited from RooPrintable
static Int_t	_nameLength

#include <RooHist.h>

Inheritance diagram for RooHist:

[legend]

Constructor & Destructor Documentation

◆ RooHist() [1/6]

RooHist::RooHist ( )

inline

Definition at line 31 of file RooHist.h.

◆ RooHist() [2/6]

RooHist::RooHist	(	double	nominalBinWidth,
		double	nSigma = `1`,
		double	xErrorFrac = `1.0`,
		double	scaleFactor = `1.0`
	)

Create an empty histogram that can be filled with the addBin() and addAsymmetryBin() methods.

Use the optional parameter to specify the confidence level in units of sigma to use for calculating error bars. The nominal bin width specifies the default used by addBin(), and is used to set the relative normalization of bins with different widths.

Definition at line 52 of file RooHist.cxx.

◆ RooHist() [3/6]

RooHist::RooHist	(	const TH1 &	data,
		double	nominalBinWidth = `0`,
		double	nSigma = `1`,
		RooAbsData::ErrorType	etype = `RooAbsData::Poisson`,
		double	xErrorFrac = `1.0`,
		bool	correctForBinWidth = `true`,
		double	scaleFactor = `1.`
	)

Create a histogram from the contents of the specified TH1 object which may have fixed or variable bin widths.

Error bars are calculated using Poisson statistics. Prints a warning and rounds any bins with non-integer contents. Use the optional parameter to specify the confidence level in units of sigma to use for calculating error bars. The nominal bin width specifies the default used by addBin(), and is used to set the relative normalization of bins with different widths. If not set, the nominal bin width is calculated as range/nbins.

Definition at line 70 of file RooHist.cxx.

◆ RooHist() [4/6]

RooHist::RooHist	(	const TH1 &	data1,
		const TH1 &	data2,
		double	nominalBinWidth = `0`,
		double	nSigma = `1`,
		RooAbsData::ErrorType	etype = `RooAbsData::Poisson`,
		double	xErrorFrac = `1.0`,
		bool	efficiency = `false`,
		double	scaleFactor = `1.0`
	)

Create a histogram from the asymmetry between the specified TH1 objects which may have fixed or variable bin widths, but which must both have the same binning.

The asymmetry is calculated as (1-2)/(1+2). Error bars are calculated using Binomial statistics. Prints a warning and rounds any bins with non-integer contents. Use the optional parameter to specify the confidence level in units of sigma to use for calculating error bars. The nominal bin width specifies the default used by addAsymmetryBin(), and is used to set the relative normalization of bins with different widths. If not set, the nominal bin width is calculated as range/nbins.

Definition at line 122 of file RooHist.cxx.

◆ RooHist() [5/6]

RooHist::RooHist	(	const RooHist &	hist1,
		const RooHist &	hist2,
		double	wgt1 = `1.0`,
		double	wgt2 = `1.0`,
		RooAbsData::ErrorType	etype = `RooAbsData::Poisson`,
		double	xErrorFrac = `1.0`
	)

Create histogram as sum of two existing histograms.

If Poisson errors are selected the histograms are added and Poisson confidence intervals are calculated for the summed content. If wgt1 and wgt2 are not 1 in this mode, a warning message is printed. If SumW2 errors are selected the histograms are added and the histograms errors are added in quadrature, taking the weights into account.

Definition at line 195 of file RooHist.cxx.

◆ RooHist() [6/6]

RooHist::RooHist	(	const RooAbsReal &	f,
		RooAbsRealLValue &	x,
		double	xErrorFrac = `1.0`,
		double	scaleFactor = `1.0`,
		const RooArgSet *	normVars = `nullptr`,
		const RooFitResult *	fr = `nullptr`
	)

Create histogram from a pdf or function.

Errors are computed based on the fit result provided.

This signature is intended for unfolding/deconvolution scenarios, where a pdf is constructed as "data minus background" and is thus intended to be displayed as "data" (or at least data-like). Usage of this signature is triggered by the draw style "P" in RooAbsReal::plotOn.

More details.

Parameters

[in]	f	The function to be plotted.
[in]	x	The variable on the x-axis
[in]	xErrorFrac	Size of the error in x as a fraction of the bin width
[in]	scaleFactor	arbitrary scaling of the y-values
[in]	normVars	variables over which to normalize
[in]	fr	fit result

Definition at line 267 of file RooHist.cxx.

Member Function Documentation

◆ addAsymmetryBin()

void RooHist::addAsymmetryBin	(	Axis_t	binCenter,
		Int_t	n1,
		Int_t	n2,
		double	binWidth = `0`,
		double	xErrorFrac = `1.0`,
		double	scaleFactor = `1.0`
	)

Add a bin to this histogram with the value (n1-n2)/(n1+n2) using an error bar calculated with Binomial statistics.

Definition at line 495 of file RooHist.cxx.

◆ addAsymmetryBinWithError()

void RooHist::addAsymmetryBinWithError	(	Axis_t	binCenter,
		double	n1,
		double	n2,
		double	en1,
		double	en2,
		double	binWidth = `0`,
		double	xErrorFrac = `1.0`,
		double	scaleFactor = `1.0`
	)

Add a bin to this histogram with the value (n1-n2)/(n1+n2) using an error bar calculated with Binomial statistics.

Definition at line 514 of file RooHist.cxx.

◆ addBin()

void RooHist::addBin	(	Axis_t	binCenter,
		double	n,
		double	binWidth = `0`,
		double	xErrorFrac = `1.0`,
		double	scaleFactor = `1.0`
	)

Add a bin to this histogram with the specified integer bin contents and using an error bar calculated with Poisson statistics.

The bin width is used to set the relative scale of bins with different widths.

Definition at line 412 of file RooHist.cxx.

◆ addBinWithError()

void RooHist::addBinWithError	(	Axis_t	binCenter,
		double	n,
		double	elow,
		double	ehigh,
		double	binWidth = `0`,
		double	xErrorFrac = `1.0`,
		bool	correctForBinWidth = `true`,
		double	scaleFactor = `1.0`
	)

Add a bin to this histogram with the specified bin contents and error.

The bin width is used to set the relative scale of bins with different widths.

Definition at line 458 of file RooHist.cxx.

◆ addBinWithXYError()

void RooHist::addBinWithXYError	(	Axis_t	binCenter,
		double	n,
		double	exlow,
		double	exhigh,
		double	eylow,
		double	eyhigh,
		double	scaleFactor = `1.0`
	)

Add a bin to this histogram with the specified bin contents and error.

The bin width is used to set the relative scale of bins with different widths.

Definition at line 479 of file RooHist.cxx.

◆ addEfficiencyBin()

void RooHist::addEfficiencyBin	(	Axis_t	binCenter,
		Int_t	n1,
		Int_t	n2,
		double	binWidth = `0`,
		double	xErrorFrac = `1.0`,
		double	scaleFactor = `1.0`
	)

Add a bin to this histogram with the value n1/(n1+n2) using an error bar calculated with Binomial statistics.

Definition at line 533 of file RooHist.cxx.

◆ addEfficiencyBinWithError()

void RooHist::addEfficiencyBinWithError	(	Axis_t	binCenter,
		double	n1,
		double	n2,
		double	en1,
		double	en2,
		double	binWidth = `0`,
		double	xErrorFrac = `1.0`,
		double	scaleFactor = `1.0`
	)

Add a bin to this histogram with the value n1/(n1+n2) using an error bar calculated with Binomial statistics.

Definition at line 553 of file RooHist.cxx.

◆ addPoint()

void RooHist::addPoint	(	Axis_t	binCenter,
		double	y,
		double	yscale,
		double	exlow,
		double	exhigh,
		double	eylow,
		double	eyhigh
	)

private

Definition at line 384 of file RooHist.cxx.

◆ Class()

static TClass * RooHist::Class ( )

static

Returns: TClass describing this class

◆ Class_Name()

static const char * RooHist::Class_Name ( )

static

Returns: Name of this class

◆ Class_Version()

static constexpr Version_t RooHist::Class_Version ( )

inlinestaticconstexpr

Returns: Version of this class

Definition at line 105 of file RooHist.h.

◆ createEmptyResidHist()

std::unique_ptr< RooHist > RooHist::createEmptyResidHist	(	const RooCurve &	curve,
		bool	normalize = `false`
	)		const

protected

Definition at line 684 of file RooHist.cxx.

◆ DeclFileName()

static const char * RooHist::DeclFileName ( )

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 105 of file RooHist.h.

◆ fillResidHist()

void RooHist::fillResidHist	(	RooHist &	residHist,
		const RooCurve &	curve,
		bool	normalize = `false`,
		bool	useAverage = `false`
	)		const

protected

Definition at line 697 of file RooHist.cxx.

◆ getFitRangeBinW()

double RooHist::getFitRangeBinW ( ) const

inlineoverridevirtual

Return (average) bin width of this RooHist.

Implements RooPlotable.

Definition at line 72 of file RooHist.h.

◆ getFitRangeNEvt() [1/2]

double RooHist::getFitRangeNEvt ( ) const

overridevirtual

Return the number of events of the dataset associated with this RooHist.

This is the number of events in the RooHist itself, unless a different value was specified through setRawEntries()

Implements RooPlotable.

Definition at line 325 of file RooHist.cxx.

◆ getFitRangeNEvt() [2/2]

double RooHist::getFitRangeNEvt	(	double	xlo,
		double	xhi
	)		const

overridevirtual

Calculate integral of histogram in given range.

Implements RooPlotable.

Definition at line 334 of file RooHist.cxx.

◆ getNominalBinWidth()

double RooHist::getNominalBinWidth ( ) const

inline

Definition at line 73 of file RooHist.h.

◆ hasIdenticalBinning()

bool RooHist::hasIdenticalBinning ( const RooHist & other ) const

Return true if binning of this RooHist is identical to that of 'other'.

Definition at line 572 of file RooHist.cxx.

◆ initialize()

void RooHist::initialize ( )

protected

Perform common initialization for all constructors.

Definition at line 314 of file RooHist.cxx.

◆ IsA()

TClass * RooHist::IsA ( ) const

inlineoverridevirtual

Returns: TClass describing current object

Reimplemented from TObject.

Definition at line 105 of file RooHist.h.

◆ isIdentical()

bool RooHist::isIdentical	(	const RooHist &	other,
		double	tol = `1e-6`,
		bool	verbose = `true`
	)		const

Return true if contents of this RooHist is identical within given relative tolerance to that of 'other'.

Definition at line 602 of file RooHist.cxx.

◆ makePullHist()

RooHist * RooHist::makePullHist	(	const RooCurve &	curve,
		bool	useAverage = `false`
	)		const

inline

Definition at line 79 of file RooHist.h.

◆ makeResidHist()

RooHist * RooHist::makeResidHist	(	const RooCurve &	curve,
		bool	normalize = `false`,
		bool	useAverage = `false`
	)		const

Create and return RooHist containing residuals w.r.t to given curve.

If normalize is true, the residuals are normalized by the histogram errors creating a RooHist with pull values

Definition at line 750 of file RooHist.cxx.

◆ Print()

void RooHist::Print ( Option_t * option = nullptr ) const

inlineoverridevirtual

This method must be overridden when a class wants to print itself.

Reimplemented from TObject.

Definition at line 64 of file RooHist.h.

◆ printClassName()

void RooHist::printClassName ( std::ostream & os ) const

overridevirtual

Print class name of RooHist.

Reimplemented from RooPrintable.

Definition at line 678 of file RooHist.cxx.

◆ printMultiline()

void RooHist::printMultiline	(	std::ostream &	os,
		Int_t	contents,
		bool	verbose = `false`,
		TString	indent = `""`
	)		const

overridevirtual

Print info about this histogram to the specified output stream.

Standard: number of entries Shape: error CL and maximum value Verbose: print our bin contents and errors

Reimplemented from RooPrintable.

Definition at line 634 of file RooHist.cxx.

◆ printName()

void RooHist::printName ( std::ostream & os ) const

overridevirtual

Print name of RooHist.

Reimplemented from RooPrintable.

Definition at line 658 of file RooHist.cxx.

◆ printTitle()

void RooHist::printTitle ( std::ostream & os ) const

overridevirtual

Print title of RooHist.

Reimplemented from RooPrintable.

Definition at line 668 of file RooHist.cxx.

◆ roundBin()

Int_t RooHist::roundBin ( double y )

protected

Return the nearest positive integer to the input value and print a warning if an adjustment is required.

Definition at line 370 of file RooHist.cxx.

◆ setRawEntries()

void RooHist::setRawEntries ( double n )

inline

Definition at line 74 of file RooHist.h.

◆ Streamer()

void RooHist::Streamer ( TBuffer & R__b )

overridevirtual

Stream an object of class TObject.

Reimplemented from TObject.

◆ StreamerNVirtual()

void RooHist::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b )

inline

Definition at line 105 of file RooHist.h.

Friends And Related Symbol Documentation

◆ RooPlot

friend class RooPlot

friend

Definition at line 89 of file RooHist.h.

Member Data Documentation

◆ _entries

double RooHist::_entries = 0.0

private

Number of entries in histogram.

Definition at line 100 of file RooHist.h.

◆ _nominalBinWidth

double RooHist::_nominalBinWidth = 1.0

private

Average bin width.

Definition at line 98 of file RooHist.h.

◆ _nSigma

double RooHist::_nSigma = 1.0

private

Number of 'sigmas' error bars represent.

Definition at line 99 of file RooHist.h.

◆ _originalWeights

std::vector<double> RooHist::_originalWeights

private

The original bin weights that were passed to the RooHist::addBin functions before scaling and bin width correction.

Definition at line 103 of file RooHist.h.

◆ _rawEntries

double RooHist::_rawEntries = 0.0

private

Number of entries in source dataset.

Definition at line 101 of file RooHist.h.

Libraries for RooHist:

[legend]

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

roofit/roofitcore/inc/RooHist.h
roofit/roofitcore/src/RooHist.cxx

Public Member Functions

Static Public Member Functions

Protected Member Functions

Private Member Functions

Private Attributes

Friends

Additional Inherited Members

Constructor & Destructor Documentation

◆ RooHist() [1/6]

◆ RooHist() [2/6]

◆ RooHist() [3/6]

◆ RooHist() [4/6]

◆ RooHist() [5/6]

◆ RooHist() [6/6]

Member Function Documentation

◆ addAsymmetryBin()

◆ addAsymmetryBinWithError()

◆ addBin()

◆ addBinWithError()

◆ addBinWithXYError()

◆ addEfficiencyBin()

◆ addEfficiencyBinWithError()

◆ addPoint()

◆ Class()

◆ Class_Name()

◆ Class_Version()

◆ createEmptyResidHist()

◆ DeclFileName()

◆ fillResidHist()

◆ getFitRangeBinW()

◆ getFitRangeNEvt() [1/2]

◆ getFitRangeNEvt() [2/2]

◆ getNominalBinWidth()

◆ hasIdenticalBinning()

◆ initialize()

◆ IsA()

◆ isIdentical()

◆ makePullHist()

◆ makeResidHist()

◆ Print()

◆ printClassName()

◆ printMultiline()

◆ printName()

◆ printTitle()

◆ roundBin()

◆ setRawEntries()

◆ Streamer()

◆ StreamerNVirtual()

Friends And Related Symbol Documentation

◆ RooPlot

Member Data Documentation

◆ _entries

◆ _nominalBinWidth

◆ _nSigma

◆ _originalWeights

◆ _rawEntries