ROOT  6.06/09
Reference Guide
HypoTestPlot.cxx
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1 // @(#)root/roostats:$Id$
2 // Author: Sven Kreiss June 2010
3 /*************************************************************************
4  * Copyright (C) 1995-2008, Rene Brun and Fons Rademakers. *
5  * All rights reserved. *
6  * *
7  * For the licensing terms see $ROOTSYS/LICENSE. *
8  * For the list of contributors see $ROOTSYS/README/CREDITS. *
9  *************************************************************************/
10 
11 
12 
13 #include "RooStats/HypoTestPlot.h"
14 #include "TStyle.h"
15 
17 
18 using namespace RooStats;
19 using namespace std;
20 
21 HypoTestPlot::HypoTestPlot(HypoTestResult& result, Int_t bins, Option_t* opt) :
22  SamplingDistPlot(bins),
23  fHypoTestResult(&result)
24 {
25  ApplyResult(result, opt);
26 }
27 HypoTestPlot::HypoTestPlot(HypoTestResult& result, Int_t bins, Double_t min, Double_t max, Option_t* opt) :
28  SamplingDistPlot(bins,min,max),
29  fHypoTestResult(&result)
30 {
31  ApplyResult(result, opt);
32 }
33 
35  fLegend = new TLegend(0.55,0.95-0.3*0.66,0.95,0.95);
36 
37  const SamplingDistribution *alt = result.GetAltDistribution();
39  if(!result.HasTestStatisticData()) {
40  if(alt) AddSamplingDistribution(alt, opt);
41  if(null) AddSamplingDistribution(null, opt);
42  }else{
43  if(result.GetPValueIsRightTail()) {
46  }else{
49  }
50  }
51 
52  if(result.HasTestStatisticData()) {
53  Double_t theMin(0.), theMax(0.), theYMax(0.);
54  GetAbsoluteInterval(theMin, theMax, theYMax);
55 
56  AddLine(result.GetTestStatisticData(), 0, result.GetTestStatisticData(), theYMax*0.66, "test statistic data");
57  }
58 
60 }
61 
63  if(!fHypoTestResult) return;
64 
67 
68  if(alt) {
69  SetLineWidth(2, alt);
70  SetLineColor(kBlue, alt);
71  }
72  if(null) {
73  SetLineWidth(2, null);
74  SetLineColor(kRed, null);
75  }
76 }
static Vc_ALWAYS_INLINE int_v min(const int_v &x, const int_v &y)
Definition: vector.h:433
void GetAbsoluteInterval(Double_t &theMin, Double_t &theMax, Double_t &theYMax) const
This class displays a legend box (TPaveText) containing several legend entries.
Definition: TLegend.h:35
void SetLineColor(Color_t color, const SamplingDistribution *samplDist=0)
Sets line color for given sampling distribution and fill color for the associated shaded TH1F...
const char Option_t
Definition: RtypesCore.h:62
void ApplyResult(HypoTestResult &result, Option_t *opt="NORMALIZE HIST")
Applies a HypoTestResult.
Definition: Rtypes.h:61
HypoTestResult is a base class for results from hypothesis tests.
Double_t AddSamplingDistribution(const SamplingDistribution *samplingDist, Option_t *drawOptions="NORMALIZE HIST")
adds the sampling distribution and returns the scale factor
This class provides the plots for the result of a study performed with any of the HypoTestCalculatorG...
Definition: HypoTestPlot.h:37
int Int_t
Definition: RtypesCore.h:41
SamplingDistribution * GetAltDistribution(void) const
STL namespace.
const TKDTreeBinning * bins
null_t< F > null()
void SetLineWidth(Width_t lwidth, const SamplingDistribution *samplDist=0)
ClassImp(RooStats::HypoTestPlot) using namespace RooStats
void ApplyDefaultStyle(void)
Set default style options (also called in the constructor that takes a HypoTestResult).
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...
HypoTestResult * fHypoTestResult
Definition: HypoTestPlot.h:51
static Double_t infinity()
Return internal infinity representation.
Definition: RooNumber.cxx:48
Bool_t HasTestStatisticData(void) const
Bool_t GetPValueIsRightTail(void) const
This class simply holds a sampling distribution of some test statistic.
Namespace for the RooStats classes.
Definition: Asimov.h:20
double Double_t
Definition: RtypesCore.h:55
void AddLine(Double_t x1, Double_t y1, Double_t x2, Double_t y2, const char *title=NULL)
add a line
SamplingDistribution * GetNullDistribution(void) const
static Vc_ALWAYS_INLINE int_v max(const int_v &x, const int_v &y)
Definition: vector.h:440
Double_t GetTestStatisticData(void) const
double result[121]
Definition: Rtypes.h:61