/usr/include/root/RooHist.h is in libroot-roofit-dev 5.34.00-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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* Project: RooFit *
* Package: RooFitCore *
* File: $Id: RooHist.h,v 1.22 2007/05/11 09:11:30 verkerke Exp $
* Authors: *
* WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu *
* DK, David Kirkby, UC Irvine, dkirkby@uci.edu *
* *
* Copyright (c) 2000-2005, Regents of the University of California *
* and Stanford University. All rights reserved. *
* *
* Redistribution and use in source and binary forms, *
* with or without modification, are permitted according to the terms *
* listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
*****************************************************************************/
#ifndef ROO_HIST
#define ROO_HIST
#include "TGraphAsymmErrors.h"
#include "RooPlotable.h"
#include "RooAbsData.h"
class TH1;
class RooCurve ;
class RooHist : public TGraphAsymmErrors, public RooPlotable {
public:
RooHist() ;
RooHist(Double_t nominalBinWidth, Double_t nSigma= 1, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0);
RooHist(const TH1 &data, Double_t nominalBinWidth= 0, Double_t nSigma= 1, RooAbsData::ErrorType=RooAbsData::Poisson,
Double_t xErrorFrac=1.0, Bool_t correctForBinWidth=kTRUE, Double_t scaleFactor=1.);
RooHist(const TH1 &data1, const TH1 &data2, Double_t nominalBinWidth= 0, Double_t nSigma= 1, RooAbsData::ErrorType=RooAbsData::Poisson,
Double_t xErrorFrac=1.0, Bool_t efficiency=kFALSE, Double_t scaleFactor=1.0);
RooHist(const RooHist& hist1, const RooHist& hist2, Double_t wgt1=1.0, Double_t wgt2=1.0,
RooAbsData::ErrorType etype=RooAbsData::Poisson, Double_t xErrorFrac=1.0) ;
virtual ~RooHist();
// add a datapoint for a bin with n entries, using a Poisson error
void addBin(Axis_t binCenter, Double_t n, Double_t binWidth= 0, Double_t xErrorFrac=1.0, Double_t scaleFactor=1.0);
// add a datapoint for a bin with n entries, using a given error
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 datapoint for a bin with n entries, using a given x and y error
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 datapoint for the asymmetry (n1-n2)/(n1+n2), using a binomial error
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 datapoint for the asymmetry (n1-n2)/(n1+n2), using sum-of-weights error
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 datapoint for the efficiency (n1)/(n1+n2), using a binomial error
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 datapoint for the efficiency (n1)/(n1+n2), using a sum-of-weights error
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);
virtual void printName(ostream& os) const ;
virtual void printTitle(ostream& os) const ;
virtual void printClassName(ostream& os) const ;
virtual void printMultiline(ostream& os, Int_t content, Bool_t verbose=kFALSE, TString indent= "") const;
inline virtual void Print(Option_t *options= 0) const {
// Printing interface
printStream(defaultPrintStream(),defaultPrintContents(options),defaultPrintStyle(options));
}
Double_t getFitRangeNEvt() const;
Double_t getFitRangeNEvt(Double_t xlo, Double_t xhi) const ;
Double_t getFitRangeBinW() const;
inline Double_t getNominalBinWidth() const { return _nominalBinWidth; }
inline void setRawEntries(Double_t n) { _rawEntries = n ; }
Bool_t hasIdenticalBinning(const RooHist& other) const ;
RooHist* makeResidHist(const RooCurve& curve,bool normalize=false, bool useAverage=false) const;
RooHist* makePullHist(const RooCurve& curve, bool useAverage=false) const
{return makeResidHist(curve,true,useAverage); }
Bool_t isIdentical(const RooHist& other, Double_t tol=1e-6) const ;
protected:
void initialize();
Int_t roundBin(Double_t y);
private:
Double_t _nominalBinWidth ; // Average bin width
Double_t _nSigma ; // Number of 'sigmas' error bars represent
Double_t _entries ; // Number of entries in histogram
Double_t _rawEntries; // Number of entries in source dataset
ClassDef(RooHist,1) // 1-dimensional histogram with error bars
};
#endif
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