Logo ROOT   6.16/01
Reference Guide
SamplingDistPlot.h
Go to the documentation of this file.
1// @(#)root/roostats:$Id$
2// Authors: Sven Kreiss June 2010
3// Authors: Kyle Cranmer, Lorenzo Moneta, Gregory Schott, Wouter Verkerke
4/*************************************************************************
5 * Copyright (C) 1995-2008, Rene Brun and Fons Rademakers. *
6 * All rights reserved. *
7 * *
8 * For the licensing terms see $ROOTSYS/LICENSE. *
9 * For the list of contributors see $ROOTSYS/README/CREDITS. *
10 *************************************************************************/
11
12#ifndef ROOSTATS_SamplingDistPlot
13#define ROOSTATS_SamplingDistPlot
14
15#include "Compression.h"
16#include "RooList.h"
17#include "RooPrintable.h"
18#include "TNamed.h"
19#include "TIterator.h"
20#include "TH1F.h"
21#include "TF1.h"
22#include "TLegend.h"
23
25
26#include "RooPlot.h"
27
28
29namespace RooStats {
30
31 class SamplingDistPlot : public TNamed, public RooPrintable {
32
33 public:
34 /// Constructors for SamplingDistribution
35 SamplingDistPlot(Int_t nbins = 100);
36 SamplingDistPlot(Int_t nbins, Double_t min, Double_t max);
37// SamplingDistPlot(const char* name, const char* title, Int_t nbins, Double_t xmin, Double_t xmax);
38
39 /// Destructor of SamplingDistribution
40 virtual ~SamplingDistPlot();
41
42 /// adds the sampling distribution and returns the scale factor
43 Double_t AddSamplingDistribution(const SamplingDistribution *samplingDist, Option_t *drawOptions="NORMALIZE HIST");
44 /// Like AddSamplingDistribution, but also sets a shaded area in the
45 /// minShaded and maxShaded boundaries.
46 Double_t AddSamplingDistributionShaded(const SamplingDistribution *samplingDist, Double_t minShaded, Double_t maxShaded, Option_t *drawOptions="NORMALIZE HIST");
47
48 /// add a line
49 void AddLine(Double_t x1, Double_t y1, Double_t x2, Double_t y2, const char* title = NULL);
50 /// add a TH1
51 void AddTH1(TH1* h, Option_t *drawOptions="");
52 /// add a TF1
53 void AddTF1(TF1* f, const char* title = NULL, Option_t *drawOptions="SAME");
54 /// set legend
56
57 void Draw(Option_t *options=0);
58
59 /// Applies a predefined style if fApplyStyle is kTRUE (default).
60 void ApplyDefaultStyle(void);
61
62 void SetLineColor(Color_t color, const SamplingDistribution *samplDist = 0);
63 void SetLineWidth(Width_t lwidth, const SamplingDistribution *samplDist = 0);
64 void SetLineStyle(Style_t style, const SamplingDistribution *samplDist = 0);
65
66 void SetMarkerColor(Color_t color, const SamplingDistribution *samplDist = 0);
67 void SetMarkerStyle(Style_t style, const SamplingDistribution *samplDist = 0);
68 void SetMarkerSize(Size_t size, const SamplingDistribution *samplDist = 0);
69
70 void RebinDistribution(Int_t rebinFactor, const SamplingDistribution *samplDist = 0);
71
72 void SetAxisTitle(char *varName) { fVarName = TString(varName); }
73
74 /// If you do not want SamplingDistPlot to interfere with your style settings, call this
75 /// function with "false" before Draw().
77
78 /// Returns the TH1F associated with the give SamplingDistribution.
79 /// Intended use: Access to member functions of TH1F like GetMean(),
80 /// GetRMS() etc.
81 /// The return objects is managed by SamplingDistPlot
82 TH1F* GetTH1F(const SamplingDistribution *samplDist = NULL);
83 TH1 * GetHistogram(const SamplingDistribution *samplDist = NULL) { return GetTH1F(samplDist); }
84
85 /// return plotter class used to draw the sampling distribution histograms
86 /// object is managed by SamplingDistPlot
87 RooPlot * GetPlot() { return fRooPlot; }
88
89 /// changes plot to log scale on x axis
90 void SetLogXaxis(Bool_t lx) { fLogXaxis = lx; }
91 /// changes plot to log scale on y axis
92 void SetLogYaxis(Bool_t ly) { fLogYaxis = ly; }
93
94 /// change x range
95 void SetXRange( double mi, double ma ) { fXMin = mi; fXMax = ma; }
96 /// change y range
97 void SetYRange( double mi, double ma ) { fYMin = mi; fYMax = ma; }
98
99 /// write to Root file
100 void DumpToFile(const char* RootFileName, Option_t *option="", const char *ftitle="", Int_t compress = ROOT::RCompressionSetting::EDefaults::kUseGeneralPurpose);
101
102 private:
103 std::vector<Double_t> fSamplingDistr;
104 std::vector<Double_t> fSampleWeights;
105
107
111
113
114 protected:
115
118
119 RooList fItems; /// holds TH1Fs only
120 RooList fOtherItems; /// other objects to be drawn like TLine etc.
121 TIterator* fIterator; /// TODO remove class variable and instantiate locally as necessary
125
127
130
131 void SetSampleWeights(const SamplingDistribution *samplingDist);
132
133 void addObject(TObject *obj, Option_t *drawOptions=0); // for TH1Fs only
134 void addOtherObject(TObject *obj, Option_t *drawOptions=0);
135 void GetAbsoluteInterval(Double_t &theMin, Double_t &theMax, Double_t &theYMax) const;
136
137 ClassDef(SamplingDistPlot,1) /// Class containing the results of the HybridCalculator
138 };
139}
140
141#endif
#define f(i)
Definition: RSha256.hxx:104
#define h(i)
Definition: RSha256.hxx:106
static const double x2[5]
static const double x1[5]
int Int_t
Definition: RtypesCore.h:41
float Size_t
Definition: RtypesCore.h:83
short Width_t
Definition: RtypesCore.h:78
bool Bool_t
Definition: RtypesCore.h:59
double Double_t
Definition: RtypesCore.h:55
short Color_t
Definition: RtypesCore.h:79
short Style_t
Definition: RtypesCore.h:76
const char Option_t
Definition: RtypesCore.h:62
#define ClassDef(name, id)
Definition: Rtypes.h:324
A RooList is a TList with extra support for working with options that are associated with each node.
Definition: RooList.h:21
A RooPlot is a plot frame and a container for graphics objects within that frame.
Definition: RooPlot.h:41
RooPlotable is a 'mix-in' base class that define the standard RooFit plotting and printing methods.
Definition: RooPrintable.h:25
This class provides simple and straightforward utilities to plot SamplingDistribution objects.
void SetSampleWeights(const SamplingDistribution *samplingDist)
Determine if the sampling distribution has weights and store them.
void AddTF1(TF1 *f, const char *title=NULL, Option_t *drawOptions="SAME")
add a TF1
void SetLogXaxis(Bool_t lx)
changes plot to log scale on x axis
RooList fOtherItems
holds TH1Fs only
void SetMarkerSize(Size_t size, const SamplingDistribution *samplDist=0)
void AddLine(Double_t x1, Double_t y1, Double_t x2, Double_t y2, const char *title=NULL)
add a line
void SetLegend(TLegend *l)
set legend
Double_t AddSamplingDistribution(const SamplingDistribution *samplingDist, Option_t *drawOptions="NORMALIZE HIST")
adds the sampling distribution and returns the scale factor
void SetLogYaxis(Bool_t ly)
changes plot to log scale on y axis
void GetAbsoluteInterval(Double_t &theMin, Double_t &theMax, Double_t &theYMax) const
TH1 * GetHistogram(const SamplingDistribution *samplDist=NULL)
void SetYRange(double mi, double ma)
change y range
void SetLineWidth(Width_t lwidth, const SamplingDistribution *samplDist=0)
std::vector< Double_t > fSampleWeights
void addOtherObject(TObject *obj, Option_t *drawOptions=0)
Add a generic object to this plot.
void ApplyDefaultStyle(void)
Applies a predefined style if fApplyStyle is kTRUE (default).
void SetMarkerColor(Color_t color, const SamplingDistribution *samplDist=0)
RooPlot * fRooPlot
TODO remove class variable and instantiate locally as necessary.
void AddTH1(TH1 *h, Option_t *drawOptions="")
add a TH1
void SetMarkerStyle(Style_t style, const SamplingDistribution *samplDist=0)
RooPlot * GetPlot()
return plotter class used to draw the sampling distribution histograms object is managed by SamplingD...
void Draw(Option_t *options=0)
Draw this plot and all of the elements it contains.
void DumpToFile(const char *RootFileName, Option_t *option="", const char *ftitle="", Int_t compress=ROOT::RCompressionSetting::EDefaults::kUseGeneralPurpose)
write to Root file
void RebinDistribution(Int_t rebinFactor, const SamplingDistribution *samplDist=0)
void SetApplyStyle(Bool_t s)
If you do not want SamplingDistPlot to interfere with your style settings, call this function with "f...
void SetLineStyle(Style_t style, const SamplingDistribution *samplDist=0)
void addObject(TObject *obj, Option_t *drawOptions=0)
Add a generic object to this plot.
std::vector< Double_t > fSamplingDistr
virtual ~SamplingDistPlot()
Destructor of SamplingDistribution.
void SetAxisTitle(char *varName)
SamplingDistPlot(Int_t nbins=100)
Constructors for SamplingDistribution.
void SetXRange(double mi, double ma)
change x range
TIterator * fIterator
other objects to be drawn like TLine etc.
TH1F * GetTH1F(const SamplingDistribution *samplDist=NULL)
Returns the TH1F associated with the give SamplingDistribution.
Double_t AddSamplingDistributionShaded(const SamplingDistribution *samplingDist, Double_t minShaded, Double_t maxShaded, Option_t *drawOptions="NORMALIZE HIST")
Like AddSamplingDistribution, but also sets a shaded area in the minShaded and maxShaded boundaries.
void SetLineColor(Color_t color, const SamplingDistribution *samplDist=0)
Sets line color for given sampling distribution and fill color for the associated shaded TH1F.
This class simply holds a sampling distribution of some test statistic.
1-Dim function class
Definition: TF1.h:211
1-D histogram with a float per channel (see TH1 documentation)}
Definition: TH1.h:571
The TH1 histogram class.
Definition: TH1.h:56
Iterator abstract base class.
Definition: TIterator.h:30
This class displays a legend box (TPaveText) containing several legend entries.
Definition: TLegend.h:23
The TNamed class is the base class for all named ROOT classes.
Definition: TNamed.h:29
Mother of all ROOT objects.
Definition: TObject.h:37
Basic string class.
Definition: TString.h:131
@(#)root/roostats:$Id$ Author: George Lewis, Kyle Cranmer
Definition: Asimov.h:20
static constexpr double s
@ kUseGeneralPurpose
Use the recommended general-purpose setting; moderate read / write speed and compression ratio.
Definition: Compression.h:53
TCanvas * style()
Definition: style.C:1
auto * l
Definition: textangle.C:4