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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 nominalBinWidth, double nSigma= 1, double xErrorFrac=1.0, double scaleFactor=1.0);
31 RooHist(const TH1 &data, double nominalBinWidth= 0, double nSigma= 1, RooAbsData::ErrorType=RooAbsData::Poisson,
32 double xErrorFrac=1.0, bool correctForBinWidth=true, double scaleFactor=1.);
33 RooHist(const TH1 &data1, const TH1 &data2, double nominalBinWidth= 0, double nSigma= 1, RooAbsData::ErrorType=RooAbsData::Poisson,
34 double xErrorFrac=1.0, bool efficiency=false, double scaleFactor=1.0);
35 RooHist(const RooHist& hist1, const RooHist& hist2, double wgt1=1.0, double wgt2=1.0,
36 RooAbsData::ErrorType etype=RooAbsData::Poisson, double xErrorFrac=1.0) ;
37 RooHist(const RooAbsReal &f, RooAbsRealLValue &x, double xErrorFrac=1.0, double scaleFactor=1.0, const RooArgSet *normVars = 0, const RooFitResult* fr = 0);
38
39 // add a datapoint for a bin with n entries, using a Poisson error
40 void addBin(Axis_t binCenter, double n, double binWidth= 0, double xErrorFrac=1.0, double scaleFactor=1.0);
41 // add a datapoint for a bin with n entries, using a given error
42 void addBinWithError(Axis_t binCenter, double n, double elow, double ehigh, double binWidth= 0,
43 double xErrorFrac=1.0, bool correctForBinWidth=true, double scaleFactor=1.0);
44 // add a datapoint for a bin with n entries, using a given x and y error
45 void addBinWithXYError(Axis_t binCenter, double n, double exlow, double exhigh, double eylow, double eyhigh,
46 double scaleFactor=1.0);
47 // add a datapoint for the asymmetry (n1-n2)/(n1+n2), using a binomial error
48 void addAsymmetryBin(Axis_t binCenter, Int_t n1, Int_t n2, double binWidth= 0, double xErrorFrac=1.0, double scaleFactor=1.0);
49 // add a datapoint for the asymmetry (n1-n2)/(n1+n2), using sum-of-weights error
50 void addAsymmetryBinWithError(Axis_t binCenter, double n1, double n2, double en1, double en2, double binWidth= 0, double xErrorFrac=1.0, double scaleFactor=1.0);
51
52 // add a datapoint for the efficiency (n1)/(n1+n2), using a binomial error
53 void addEfficiencyBin(Axis_t binCenter, Int_t n1, Int_t n2, double binWidth= 0, double xErrorFrac=1.0, double scaleFactor=1.0);
54 // add a datapoint for the efficiency (n1)/(n1+n2), using a sum-of-weights error
55 void addEfficiencyBinWithError(Axis_t binCenter, double n1, double n2, double en1, double en2, double binWidth= 0, double xErrorFrac=1.0, double scaleFactor=1.0);
56
57 void printName(std::ostream& os) const override ;
58 void printTitle(std::ostream& os) const override ;
59 void printClassName(std::ostream& os) const override ;
60 void printMultiline(std::ostream& os, Int_t content, bool verbose=false, TString indent= "") const override;
61
62 inline void Print(Option_t *options= 0) const override {
63 // Printing interface
65 }
66
67 double getFitRangeNEvt() const override;
68 double getFitRangeNEvt(double xlo, double xhi) const override ;
69 double getFitRangeBinW() const override;
70 inline double getNominalBinWidth() const { return _nominalBinWidth; }
71 inline void setRawEntries(double n) { _rawEntries = n ; }
72
73 bool hasIdenticalBinning(const RooHist& other) const ;
74
75 RooHist* makeResidHist(const RooCurve& curve,bool normalize=false, bool useAverage=false) const;
76 RooHist* makePullHist(const RooCurve& curve, bool useAverage=false) const
77 {return makeResidHist(curve,true,useAverage); }
78
79
80 bool isIdentical(const RooHist& other, double tol=1e-6, bool verbose=true) const ;
81
82
83protected:
84 void initialize();
85 Int_t roundBin(double y);
86
87private:
88 double _nominalBinWidth ; ///< Average bin width
89 double _nSigma ; ///< Number of 'sigmas' error bars represent
90 double _entries ; ///< Number of entries in histogram
91 double _rawEntries; ///< Number of entries in source dataset
92
93 ClassDefOverride(RooHist,1) // 1-dimensional histogram with error bars
94};
95
96#endif
#define f(i)
Definition: RSha256.hxx:104
#define e(i)
Definition: RSha256.hxx:103
const char Option_t
Definition: RtypesCore.h:66
#define ClassDefOverride(name, id)
Definition: Rtypes.h:339
static void indent(ostringstream &buf, int indent_level)
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
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:64
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:57
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
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:744
double _nominalBinWidth
Average bin width.
Definition: RooHist.h:88
double _rawEntries
Number of entries in source dataset.
Definition: RooHist.h:91
void printClassName(std::ostream &os) const override
Print class name of RooHist.
Definition: RooHist.cxx:732
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 sta...
Definition: RooHist.cxx:573
void initialize()
Perform common initialization for all constructors.
Definition: RooHist.cxx:343
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.
Definition: RooHist.cxx:476
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 sta...
Definition: RooHist.cxx:600
RooHist()
Default constructor.
Definition: RooHist.cxx:48
void printName(std::ostream &os) const override
Print name of RooHist.
Definition: RooHist.cxx:712
void Print(Option_t *options=0) const override
Print graph and errors values.
Definition: RooHist.h:62
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.
Definition: RooHist.cxx:688
void printTitle(std::ostream &os) const override
Print title of RooHist.
Definition: RooHist.cxx:722
double getFitRangeBinW() const override
Return (average) bin width of this RooHist.
Definition: RooHist.cxx:395
double getNominalBinWidth() const
Definition: RooHist.h:70
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 Binomia...
Definition: RooHist.cxx:547
double _entries
Number of entries in histogram.
Definition: RooHist.h:90
Int_t roundBin(double y)
Return the nearest positive integer to the input value and print a warning if an adjustment is requir...
Definition: RooHist.cxx:406
void setRawEntries(double n)
Definition: RooHist.h:71
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 'othe...
Definition: RooHist.cxx:656
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 Binomia...
Definition: RooHist.cxx:521
RooHist * makePullHist(const RooCurve &curve, bool useAverage=false) const
Definition: RooHist.h:76
double _nSigma
Number of 'sigmas' error bars represent.
Definition: RooHist.h:89
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...
Definition: RooHist.cxx:426
bool hasIdenticalBinning(const RooHist &other) const
Return true if binning of this RooHist is identical to that of 'other'.
Definition: RooHist.cxx:626
double getFitRangeNEvt() const override
Return the number of events of the dataset associated with this RooHist.
Definition: RooHist.cxx:355
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.
Definition: RooHist.cxx:501
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.
TH1 is the base class of all histogram classes in ROOT.
Definition: TH1.h:58
Basic string class.
Definition: TString.h:136
Double_t y[n]
Definition: legend1.C:17
Double_t x[n]
Definition: legend1.C:17
const Int_t n
Definition: legend1.C:16