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RooHist.h
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1/*****************************************************************************
2 * Project: RooFit *
3 * Package: RooFitCore *
4 * File: $Id: RooHist.h,v 1.22 2007/05/11 09:11:30 verkerke Exp $
5 * Authors: *
6 * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu *
7 * DK, David Kirkby, UC Irvine, dkirkby@uci.edu *
8 * *
9 * Copyright (c) 2000-2005, Regents of the University of California *
10 * and Stanford University. All rights reserved. *
11 * *
12 * Redistribution and use in source and binary forms, *
13 * with or without modification, are permitted according to the terms *
14 * listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
15 *****************************************************************************/
16#ifndef ROO_HIST
17#define ROO_HIST
18
19#include "TGraphAsymmErrors.h"
20#include "RooPlotable.h"
21#include "RooAbsData.h"
22#include "RooAbsRealLValue.h"
23
24class TH1;
25class RooCurve ;
26
27class RooHist : public TGraphAsymmErrors, public RooPlotable {
28public:
29 RooHist() ;
30 RooHist(Double_t nominalBinWidth, Double_t nSigma= 1, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0);
31 RooHist(const TH1 &data, Double_t nominalBinWidth= 0, Double_t nSigma= 1, RooAbsData::ErrorType=RooAbsData::Poisson,
32 Double_t xErrorFrac=1.0, Bool_t correctForBinWidth=kTRUE, Double_t scaleFactor=1.);
33 RooHist(const TH1 &data1, const TH1 &data2, Double_t nominalBinWidth= 0, Double_t nSigma= 1, RooAbsData::ErrorType=RooAbsData::Poisson,
34 Double_t xErrorFrac=1.0, Bool_t efficiency=kFALSE, Double_t scaleFactor=1.0);
35 RooHist(const RooHist& hist1, const RooHist& hist2, Double_t wgt1=1.0, Double_t wgt2=1.0,
37 RooHist(const RooAbsReal &f, RooAbsRealLValue &x, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0, const RooArgSet *normVars = 0, const RooFitResult* fr = 0);
38 virtual ~RooHist();
39
40 // add a datapoint for a bin with n entries, using a Poisson error
41 void addBin(Axis_t binCenter, Double_t n, Double_t binWidth= 0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0);
42 // add a datapoint for a bin with n entries, using a given error
43 void addBinWithError(Axis_t binCenter, Double_t n, Double_t elow, Double_t ehigh, Double_t binWidth= 0,
44 Double_t xErrorFrac=1.0, Bool_t correctForBinWidth=kTRUE, Double_t scaleFactor=1.0);
45 // add a datapoint for a bin with n entries, using a given x and y error
46 void addBinWithXYError(Axis_t binCenter, Double_t n, Double_t exlow, Double_t exhigh, Double_t eylow, Double_t eyhigh,
47 Double_t scaleFactor=1.0);
48 // add a datapoint for the asymmetry (n1-n2)/(n1+n2), using a binomial error
49 void addAsymmetryBin(Axis_t binCenter, Int_t n1, Int_t n2, Double_t binWidth= 0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0);
50 // add a datapoint for the asymmetry (n1-n2)/(n1+n2), using sum-of-weights error
51 void addAsymmetryBinWithError(Axis_t binCenter, Double_t n1, Double_t n2, Double_t en1, Double_t en2, Double_t binWidth= 0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0);
52
53 // add a datapoint for the efficiency (n1)/(n1+n2), using a binomial error
54 void addEfficiencyBin(Axis_t binCenter, Int_t n1, Int_t n2, Double_t binWidth= 0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0);
55 // add a datapoint for the efficiency (n1)/(n1+n2), using a sum-of-weights error
56 void addEfficiencyBinWithError(Axis_t binCenter, Double_t n1, Double_t n2, Double_t en1, Double_t en2, Double_t binWidth= 0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0);
57
58 virtual void printName(std::ostream& os) const ;
59 virtual void printTitle(std::ostream& os) const ;
60 virtual void printClassName(std::ostream& os) const ;
61 virtual void printMultiline(std::ostream& os, Int_t content, Bool_t verbose=kFALSE, TString indent= "") const;
62
63 inline virtual void Print(Option_t *options= 0) const {
64 // Printing interface
66 }
67
71 inline Double_t getNominalBinWidth() const { return _nominalBinWidth; }
72 inline void setRawEntries(Double_t n) { _rawEntries = n ; }
73
74 Bool_t hasIdenticalBinning(const RooHist& other) const ;
75
76 RooHist* makeResidHist(const RooCurve& curve,bool normalize=false, bool useAverage=false) const;
77 RooHist* makePullHist(const RooCurve& curve, bool useAverage=false) const
78 {return makeResidHist(curve,true,useAverage); }
79
80
81 Bool_t isIdentical(const RooHist& other, Double_t tol=1e-6) const ;
82
83
84protected:
85 void initialize();
87
88private:
89 Double_t _nominalBinWidth ; // Average bin width
90 Double_t _nSigma ; // Number of 'sigmas' error bars represent
91 Double_t _entries ; // Number of entries in histogram
92 Double_t _rawEntries; // Number of entries in source dataset
93
94 ClassDef(RooHist,1) // 1-dimensional histogram with error bars
95};
96
97#endif
#define f(i)
Definition: RSha256.hxx:104
#define e(i)
Definition: RSha256.hxx:103
int Int_t
Definition: RtypesCore.h:43
const Bool_t kFALSE
Definition: RtypesCore.h:90
bool Bool_t
Definition: RtypesCore.h:61
double Axis_t
Definition: RtypesCore.h:74
double Double_t
Definition: RtypesCore.h:57
const Bool_t kTRUE
Definition: RtypesCore.h:89
const char Option_t
Definition: RtypesCore.h:64
#define ClassDef(name, id)
Definition: Rtypes.h:322
static void indent(ostringstream &buf, int indent_level)
RooAbsRealLValue is the common abstract base class for objects that represent a real value that may a...
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:60
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
A RooCurve is a one-dimensional graphical representation of a real-valued function.
Definition: RooCurve.h:32
RooFitResult is a container class to hold the input and output of a PDF fit to a dataset.
Definition: RooFitResult.h:40
A RooHist is a graphical representation of binned data based on the TGraphAsymmErrors class.
Definition: RooHist.h:27
void addAsymmetryBinWithError(Axis_t binCenter, Double_t n1, Double_t n2, Double_t en1, Double_t en2, Double_t binWidth=0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0)
Add a bin to this histogram with the value (n1-n2)/(n1+n2) using an error bar calculated with Binomia...
Definition: RooHist.cxx:543
RooHist * makeResidHist(const RooCurve &curve, bool normalize=false, bool useAverage=false) const
Create and return RooHist containing residuals w.r.t to given curve.
Definition: RooHist.cxx:750
Double_t _nominalBinWidth
Definition: RooHist.h:89
void addEfficiencyBin(Axis_t binCenter, Int_t n1, Int_t n2, Double_t binWidth=0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0)
Add a bin to this histogram with the value n1/(n1+n2) using an error bar calculated with Binomial sta...
Definition: RooHist.cxx:569
Double_t getFitRangeNEvt() const
Return the number of events of the dataset associated with this RooHist.
Definition: RooHist.cxx:351
Double_t _rawEntries
Definition: RooHist.h:92
virtual void printTitle(std::ostream &os) const
Print title of RooHist.
Definition: RooHist.cxx:728
Int_t roundBin(Double_t y)
Return the nearest positive integer to the input value and print a warning if an adjustment is requir...
Definition: RooHist.cxx:402
void initialize()
Perform common initialization for all constructors.
Definition: RooHist.cxx:339
RooHist()
Default constructor.
Definition: RooHist.cxx:50
virtual void Print(Option_t *options=0) const
Print graph and errors values.
Definition: RooHist.h:63
virtual void printName(std::ostream &os) const
Print name of RooHist.
Definition: RooHist.cxx:718
void setRawEntries(Double_t n)
Definition: RooHist.h:72
void addBinWithError(Axis_t binCenter, Double_t n, Double_t elow, Double_t ehigh, Double_t binWidth=0, Double_t xErrorFrac=1.0, Bool_t correctForBinWidth=kTRUE, Double_t scaleFactor=1.0)
Add a bin to this histogram with the specified bin contents and error.
Definition: RooHist.cxx:472
virtual void printMultiline(std::ostream &os, Int_t content, Bool_t verbose=kFALSE, TString indent="") const
Print info about this histogram to the specified output stream.
Definition: RooHist.cxx:694
void addEfficiencyBinWithError(Axis_t binCenter, Double_t n1, Double_t n2, Double_t en1, Double_t en2, Double_t binWidth=0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0)
Add a bin to this histogram with the value n1/(n1+n2) using an error bar calculated with Binomial sta...
Definition: RooHist.cxx:596
void addBin(Axis_t binCenter, Double_t n, Double_t binWidth=0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0)
Add a bin to this histogram with the specified integer bin contents and using an error bar calculated...
Definition: RooHist.cxx:422
Double_t getNominalBinWidth() const
Definition: RooHist.h:71
virtual void printClassName(std::ostream &os) const
Print class name of RooHist.
Definition: RooHist.cxx:738
Double_t _entries
Definition: RooHist.h:91
Double_t getFitRangeBinW() const
Return (average) bin width of this RooHist.
Definition: RooHist.cxx:391
void addAsymmetryBin(Axis_t binCenter, Int_t n1, Int_t n2, Double_t binWidth=0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0)
Add a bin to this histogram with the value (n1-n2)/(n1+n2) using an error bar calculated with Binomia...
Definition: RooHist.cxx:517
Bool_t hasIdenticalBinning(const RooHist &other) const
Return kTRUE if binning of this RooHist is identical to that of 'other'.
Definition: RooHist.cxx:632
virtual ~RooHist()
Destructor.
Definition: RooHist.cxx:623
void addBinWithXYError(Axis_t binCenter, Double_t n, Double_t exlow, Double_t exhigh, Double_t eylow, Double_t eyhigh, Double_t scaleFactor=1.0)
Add a bin to this histogram with the specified bin contents and error.
Definition: RooHist.cxx:497
RooHist * makePullHist(const RooCurve &curve, bool useAverage=false) const
Definition: RooHist.h:77
Double_t _nSigma
Definition: RooHist.h:90
Bool_t isIdentical(const RooHist &other, Double_t tol=1e-6) const
Return kTRUE if contents of this RooHist is identical within given relative tolerance to that of 'oth...
Definition: RooHist.cxx:662
Class RooPotable is a base class for objects that can be inserted into RooPlots and take advantage of...
Definition: RooPlotable.h:26
virtual StyleOption defaultPrintStyle(Option_t *opt) const
virtual Int_t defaultPrintContents(Option_t *opt) const
Default choice of contents to be printed (name and value)
static std::ostream & defaultPrintStream(std::ostream *os=0)
Return a reference to the current default stream to use in Print().
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,...
TGraph with asymmetric error bars.
The TH1 histogram class.
Definition: TH1.h:56
Basic string class.
Definition: TString.h:131
Double_t y[n]
Definition: legend1.C:17
Double_t x[n]
Definition: legend1.C:17
const Int_t n
Definition: legend1.C:16