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HybridResult.h
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1// @(#)root/roostats:$Id$
2
3/*************************************************************************
4 * Project: RooStats *
5 * Package: RooFit/RooStats *
6 * Authors: *
7 * Kyle Cranmer, Lorenzo Moneta, Gregory Schott, Wouter Verkerke *
8 *************************************************************************
9 * Copyright (C) 1995-2008, Rene Brun and Fons Rademakers. *
10 * All rights reserved. *
11 * *
12 * For the licensing terms see $ROOTSYS/LICENSE. *
13 * For the list of contributors see $ROOTSYS/README/CREDITS. *
14 *************************************************************************/
15
16#ifndef ROOSTATS_HybridResult
17#define ROOSTATS_HybridResult
18
20
21namespace RooStats {
22
23 class HybridPlot;
24
26
27 public:
28
29 /// Default constructor
30 explicit HybridResult(const char *name = 0);
31
32 /// Constructor for HybridResult
33 HybridResult(const char *name,
34 const std::vector<double>& testStat_sb_vals,
35 const std::vector<double>& testStat_b_vals,
36 bool sumLargerValues=true);
37
38
39 /// Destructor of HybridResult
40 virtual ~HybridResult();
41
42 void SetDataTestStatistics(double testStat_data_val);
43
44 void Add(HybridResult* other);
45
46 HybridPlot* GetPlot(const char* name,const char* title, int n_bins);
47
48 void PrintMore(const char* options);
49
50 /// Get test statistics values for the sb model
51 std::vector<double> GetTestStat_sb(){return fTestStat_sb;}
52
53 /// Get test statistics values for the b model
54 std::vector<double> GetTestStat_b(){return fTestStat_b;}
55
56 /// Get test statistics value for data
58
59 // Return p-value for null hypothesis
60 Double_t NullPValue() const;
61
62 // Return p-value for alternate hypothesis
64
65 /// The error on the "confidence level" of the null hypothesis
66 Double_t CLbError() const;
67
68 /// The error on the "confidence level" of the alternative hypothesis
69 Double_t CLsplusbError() const;
70
71 /// The error on the ratio \f$CL_{s+b}/CL_{b}\f$
72 Double_t CLsError() const;
73
74 private:
75
76 std::vector<double> fTestStat_b; // vector of results for B-only toy-MC
77 std::vector<double> fTestStat_sb; // vector of results for S+B toy-MC
78 double fTestStat_data; // results (test statistics) evaluated for data
79
80 mutable bool fComputationsNulDoneFlag; // flag if the fNullPValue computation have been already done or not (ie need to be refreshed)
81 mutable bool fComputationsAltDoneFlag; // flag if the fAlternatePValue computation have been already done or not (ie need to be refreshed)
82 bool fSumLargerValues; // p-value for velues of testStat >= testStat_data (or testStat <= testStat_data)
83
84 protected:
85
86 ClassDef(HybridResult,1) // Class containing the results of the HybridCalculator
87 };
88}
89
90#endif
double Double_t
Definition: RtypesCore.h:55
#define ClassDef(name, id)
Definition: Rtypes.h:324
This class provides the plots for the result of a study performed with the HybridCalculatorOriginal c...
Definition: HybridPlot.h:36
Class encapsulating the result of the HybridCalculatorOriginal.
Definition: HybridResult.h:25
std::vector< double > GetTestStat_sb()
Get test statistics values for the sb model.
Definition: HybridResult.h:51
std::vector< double > fTestStat_b
Definition: HybridResult.h:76
Double_t CLsError() const
The error on the ratio .
double GetTestStat_data()
Get test statistics value for data.
Definition: HybridResult.h:57
Double_t NullPValue() const
Returns : the B p-value.
Double_t CLsplusbError() const
The error on the "confidence level" of the alternative hypothesis.
std::vector< double > GetTestStat_b()
Get test statistics values for the b model.
Definition: HybridResult.h:54
virtual ~HybridResult()
Destructor of HybridResult.
void PrintMore(const char *options)
Print out some information about the results.
HybridPlot * GetPlot(const char *name, const char *title, int n_bins)
prepare a plot showing a result and return a pointer to a HybridPlot object the needed arguments are:...
void Add(HybridResult *other)
add additional toy-MC experiments to the current results use the data test statistics of the added ob...
Double_t CLbError() const
The error on the "confidence level" of the null hypothesis.
HybridResult(const char *name=0)
Default constructor.
Double_t AlternatePValue() const
Returns : the S+B p-value.
std::vector< double > fTestStat_sb
Definition: HybridResult.h:77
void SetDataTestStatistics(double testStat_data_val)
set the value of the test statistics on data
HypoTestResult is a base class for results from hypothesis tests.
@(#)root/roostats:$Id$ Author: George Lewis, Kyle Cranmer
Definition: Asimov.h:20