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TStatistic.h
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1// @(#)root/mathcore:$Id$
2// Author: G. Ganis 2012
3
4/*************************************************************************
5 * Copyright (C) 1995-2000, 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 ROOT_TStatistic
13#define ROOT_TStatistic
14
15
16//////////////////////////////////////////////////////////////////////////
17// //
18// TStatistic //
19// //
20// Statistical variable, defined by its mean, RMS and related errors. //
21// Named, streamable, storable and mergeable. //
22// //
23//////////////////////////////////////////////////////////////////////////
24
25#include "TObject.h"
26
27#include "TMath.h"
28
29#include "TString.h"
30
31class TCollection;
32
33class TStatistic : public TObject {
34
35private:
36 TString fName; ///< Name given to the TStatistic object
37 Long64_t fN; ///< Number of fills
38 Double_t fW; ///< Sum of weights
39 Double_t fW2; ///< Sum of squared weights
40 Double_t fM; ///< Sum of elements (i.e. sum of (val * weight) pairs
41 Double_t fM2; ///< Second order momentum
42 Double_t fMin; ///< Minimum value in the TStatistic object
43 Double_t fMax; ///< Maximum value in the TStatistic object
44
45public:
46
47 TStatistic(const char *name = "") : fName(name), fN(0), fW(0.), fW2(0.), fM(0.), fM2(0.), fMin(TMath::Limits<Double_t>::Max()), fMax(-TMath::Limits<Double_t>::Max()) { }
48 TStatistic(const char *name, Int_t n, const Double_t *val, const Double_t *w = nullptr);
50
51 // Getters
52 const char *GetName() const { return fName; }
53 ULong_t Hash() const { return fName.Hash(); }
54
55 inline Long64_t GetN() const { return fN; }
56 inline Long64_t GetNeff() const { return fW*fW/fW2; }
57 inline Double_t GetM2() const { return fM2; }
58 inline Double_t GetMean() const { return (fW > 0) ? fM/fW : 0; }
59 inline Double_t GetMeanErr() const { return (fW > 0.) ? TMath::Sqrt( GetVar()/ GetNeff() ) : 0; }
60 inline Double_t GetRMS() const { double var = GetVar(); return (var>0) ? TMath::Sqrt(var) : -1; }
61 inline Double_t GetVar() const { return (fW>0) ? ( (fN>1) ? (fM2 / fW)*(fN / (fN-1.)) : 0 ) : -1; }
62 inline Double_t GetW() const { return fW; }
63 inline Double_t GetW2() const { return fW2; }
64 inline Double_t GetMin() const { return fMin; }
65 inline Double_t GetMax() const { return fMax; }
66
67 // Merging
69
70 // Fill
71 void Fill(Double_t val, Double_t w = 1.);
72
73 // Print
74 void Print(Option_t * = "") const;
75 void ls(Option_t *opt = "") const { Print(opt); }
76
77 ClassDef(TStatistic,3) // Named statistical variable
78};
79
80#endif
int Int_t
Definition: RtypesCore.h:45
unsigned long ULong_t
Definition: RtypesCore.h:55
double Double_t
Definition: RtypesCore.h:59
long long Long64_t
Definition: RtypesCore.h:80
const char Option_t
Definition: RtypesCore.h:66
#define ClassDef(name, id)
Definition: Rtypes.h:325
char name[80]
Definition: TGX11.cxx:110
Collection abstract base class.
Definition: TCollection.h:65
Mother of all ROOT objects.
Definition: TObject.h:37
Statistical variable, defined by its mean and variance (RMS).
Definition: TStatistic.h:33
void ls(Option_t *opt="") const
The ls function lists the contents of a class on stdout.
Definition: TStatistic.h:75
TString fName
Name given to the TStatistic object.
Definition: TStatistic.h:36
~TStatistic()
TStatistic destructor.
Definition: TStatistic.cxx:52
Double_t GetW() const
Definition: TStatistic.h:62
Double_t GetW2() const
Definition: TStatistic.h:63
Double_t GetMeanErr() const
Definition: TStatistic.h:59
Double_t fW2
Sum of squared weights.
Definition: TStatistic.h:39
Double_t GetM2() const
Definition: TStatistic.h:57
Double_t GetMin() const
Definition: TStatistic.h:64
Double_t fW
Sum of weights.
Definition: TStatistic.h:38
TStatistic(const char *name="")
Definition: TStatistic.h:47
const char * GetName() const
Returns name of object.
Definition: TStatistic.h:52
void Fill(Double_t val, Double_t w=1.)
Increment the entries in the object by one value-weight pair.
Definition: TStatistic.cxx:78
Long64_t GetN() const
Definition: TStatistic.h:55
ULong_t Hash() const
Return hash value for this object.
Definition: TStatistic.h:53
Long64_t GetNeff() const
Definition: TStatistic.h:56
Double_t GetMax() const
Definition: TStatistic.h:65
Double_t GetMean() const
Definition: TStatistic.h:58
Double_t GetVar() const
Definition: TStatistic.h:61
Double_t fMin
Minimum value in the TStatistic object.
Definition: TStatistic.h:42
void Print(Option_t *="") const
Print the content of the object.
Definition: TStatistic.cxx:115
Double_t GetRMS() const
Definition: TStatistic.h:60
Double_t fMax
Maximum value in the TStatistic object.
Definition: TStatistic.h:43
Double_t fM
Sum of elements (i.e. sum of (val * weight) pairs.
Definition: TStatistic.h:40
Double_t fM2
Second order momentum.
Definition: TStatistic.h:41
Int_t Merge(TCollection *in)
Merge implementation of TStatistic.
Definition: TStatistic.cxx:137
Long64_t fN
Number of fills.
Definition: TStatistic.h:37
Basic string class.
Definition: TString.h:136
UInt_t Hash(ECaseCompare cmp=kExact) const
Return hash value.
Definition: TString.cxx:662
const Int_t n
Definition: legend1.C:16
TMath.
Definition: TMathBase.h:35
Short_t Max(Short_t a, Short_t b)
Definition: TMathBase.h:208
Double_t Sqrt(Double_t x)
Definition: TMath.h:641