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RooAbsData.h
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1/*****************************************************************************
2 * Project: RooFit *
3 * Package: RooFitCore *
4 * File: $Id: RooAbsData.h,v 1.33 2007/07/16 21:04:28 wouter Exp $
5 * Authors: *
6 * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu *
7 * DK, David Kirkby, UC Irvine, dkirkby@uci.edu *
8 * *
9 * Copyright (c) 2000-2005, Regents of the University of California *
10 * and Stanford University. All rights reserved. *
11 * *
12 * Redistribution and use in source and binary forms, *
13 * with or without modification, are permitted according to the terms *
14 * listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
15 *****************************************************************************/
16#ifndef ROO_ABS_DATA
17#define ROO_ABS_DATA
18
19#include "TNamed.h"
20#include "RooPrintable.h"
21#include "RooArgSet.h"
22#include "RooFormulaVar.h"
23#include <cmath>
24#include "TMatrixDSym.h"
25
26class RooAbsArg;
27class RooAbsReal ;
28class RooAbsCategory ;
29class Roo1DTable ;
30class RooPlot;
31class RooArgList;
32class TH1;
33class RooAbsBinning ;
34class Roo1DTable ;
35class RooAbsDataStore ;
36
37class RooAbsData : public TNamed, public RooPrintable {
38public:
39
40 // Constructors, factory methods etc.
41 RooAbsData() ;
42 RooAbsData(const char *name, const char *title, const RooArgSet& vars, RooAbsDataStore* store=0) ;
43 RooAbsData(const RooAbsData& other, const char* newname = 0) ;
44 virtual ~RooAbsData() ;
45 virtual RooAbsData* emptyClone(const char* newName=0, const char* newTitle=0, const RooArgSet* vars=0, const char* wgtVarName=0) const = 0 ;
46
47 // Reduction methods
48 RooAbsData* reduce(const RooCmdArg& arg1,const RooCmdArg& arg2=RooCmdArg(),const RooCmdArg& arg3=RooCmdArg(),const RooCmdArg& arg4=RooCmdArg(),
49 const RooCmdArg& arg5=RooCmdArg(),const RooCmdArg& arg6=RooCmdArg(),const RooCmdArg& arg7=RooCmdArg(),const RooCmdArg& arg8=RooCmdArg()) ;
50 RooAbsData* reduce(const char* cut) ;
51 RooAbsData* reduce(const RooFormulaVar& cutVar) ;
52 RooAbsData* reduce(const RooArgSet& varSubset, const char* cut=0) ;
53 RooAbsData* reduce(const RooArgSet& varSubset, const RooFormulaVar& cutVar) ;
54
56 const RooAbsDataStore* store() const { return _dstore ; }
57 const TTree* tree() const ;
58 TTree *GetClonedTree() const;
59
61 void convertToTreeStore();
62
63 void attachBuffers(const RooArgSet& extObs) ;
64 void resetBuffers() ;
65
66
67 virtual void Draw(Option_t* option = "") ;
68
69 void checkInit() const ;
70
71 // Change name of observable
72 virtual Bool_t changeObservableName(const char* from, const char* to) ;
73
74 // Add one ore more rows of data
75 virtual void add(const RooArgSet& row, Double_t weight=1, Double_t weightError=0) = 0 ; // DERIVED
76 virtual void fill() ;
77
78 // Load a given row of data
79 virtual inline const RooArgSet* get() const {
80 // Return current row of dataset
81 return &_vars ;
82 }
83 virtual Double_t weight() const = 0 ; // DERIVED
84 virtual Double_t weightSquared() const = 0 ; // DERIVED
85 virtual Bool_t valid() const { return kTRUE ; }
87 virtual Double_t weightError(ErrorType etype=Poisson) const ;
88 virtual void weightError(Double_t& lo, Double_t& hi, ErrorType etype=Poisson) const ;
89 virtual const RooArgSet* get(Int_t index) const ;
90
91 virtual Int_t numEntries() const ;
92 virtual Double_t sumEntries() const = 0 ;
93 virtual Double_t sumEntries(const char* cutSpec, const char* cutRange=0) const = 0 ; // DERIVED
94 virtual Bool_t isWeighted() const {
95 // Do events in dataset have weights?
96 return kFALSE ;
97 }
98 virtual Bool_t isNonPoissonWeighted() const {
99 // Do events in dataset have non-integer weights?
100 return kFALSE ;
101 }
102 virtual void reset() ;
103
104
105 Bool_t getRange(RooRealVar& var, Double_t& lowest, Double_t& highest, Double_t marginFrac=0, Bool_t symMode=kFALSE) const ;
106
107 // Plot the distribution of a real valued arg
108 virtual Roo1DTable* table(const RooArgSet& catSet, const char* cuts="", const char* opts="") const ;
109 virtual Roo1DTable* table(const RooAbsCategory& cat, const char* cuts="", const char* opts="") const ;
110 /// Calls RooPlot* plotOn(RooPlot* frame, const RooLinkedList& cmdList) const ;
111 virtual RooPlot* plotOn(RooPlot* frame,
112 const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(),
113 const RooCmdArg& arg3=RooCmdArg::none(), const RooCmdArg& arg4=RooCmdArg::none(),
114 const RooCmdArg& arg5=RooCmdArg::none(), const RooCmdArg& arg6=RooCmdArg::none(),
115 const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;
116
117 virtual RooPlot* plotOn(RooPlot* frame, const RooLinkedList& cmdList) const ;
118
119 // WVE --- This needs to be public to avoid CINT problems
120 struct PlotOpt {
123 scaleFactor(1.) {} ;
124 const char* cuts ;
128 const char* cutRange ;
129 const char* histName ;
131 const char* addToHistName ;
138 } ;
139
140 // Split a dataset by a category
141 virtual TList* split(const RooAbsCategory& splitCat, Bool_t createEmptyDataSets=kFALSE) const ;
142
143 // Fast splitting for SimMaster setData
144 Bool_t canSplitFast() const ;
145 RooAbsData* getSimData(const char* idxstate) ;
146
147 /// Calls createHistogram(const char *name, const RooAbsRealLValue& xvar, const RooLinkedList& argList) const
148 TH1 *createHistogram(const char *name, const RooAbsRealLValue& xvar,
149 const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(),
150 const RooCmdArg& arg3=RooCmdArg::none(), const RooCmdArg& arg4=RooCmdArg::none(),
151 const RooCmdArg& arg5=RooCmdArg::none(), const RooCmdArg& arg6=RooCmdArg::none(),
152 const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;
153 /// Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset.
154 TH1 *createHistogram(const char *name, const RooAbsRealLValue& xvar, const RooLinkedList& argList) const ;
155 TH1 *createHistogram(const char* varNameList, Int_t xbins=0, Int_t ybins=0, Int_t zbins=0) const ;
156
157 // Fill an existing histogram
158 virtual TH1 *fillHistogram(TH1 *hist, const RooArgList &plotVars, const char *cuts= "", const char* cutRange=0) const;
159
160 // Printing interface (human readable)
161 inline virtual void Print(Option_t *options= 0) const {
162 // Print contents on stdout
164 }
165
166 virtual void printName(std::ostream& os) const ;
167 virtual void printTitle(std::ostream& os) const ;
168 virtual void printClassName(std::ostream& os) const ;
169 void printMultiline(std::ostream& os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const ;
170
171 virtual Int_t defaultPrintContents(Option_t* opt) const ;
172
173 void setDirtyProp(Bool_t flag) ;
174
175 Double_t moment(RooRealVar &var, Double_t order, const char* cutSpec=0, const char* cutRange=0) const ;
176 Double_t moment(RooRealVar &var, Double_t order, Double_t offset, const char* cutSpec=0, const char* cutRange=0) const ;
177 Double_t standMoment(RooRealVar &var, Double_t order, const char* cutSpec=0, const char* cutRange=0) const ;
178
179 Double_t mean(RooRealVar& var, const char* cutSpec=0, const char* cutRange=0) const { return moment(var,1,0,cutSpec,cutRange) ; }
180 Double_t sigma(RooRealVar& var, const char* cutSpec=0, const char* cutRange=0) const { return sqrt(moment(var,2,cutSpec,cutRange)) ; }
181 Double_t skewness(RooRealVar& var, const char* cutSpec=0, const char* cutRange=0) const { return standMoment(var,3,cutSpec,cutRange) ; }
182 Double_t kurtosis(RooRealVar& var, const char* cutSpec=0, const char* cutRange=0) const { return standMoment(var,4,cutSpec,cutRange) ; }
183
184 Double_t covariance(RooRealVar &x,RooRealVar &y, const char* cutSpec=0, const char* cutRange=0) const { return corrcov(x,y,cutSpec,cutRange,kFALSE) ; }
185 Double_t correlation(RooRealVar &x,RooRealVar &y, const char* cutSpec=0, const char* cutRange=0) const { return corrcov(x,y,cutSpec,cutRange,kTRUE) ; }
186
187 TMatrixDSym* covarianceMatrix(const char* cutSpec=0, const char* cutRange=0) const { return covarianceMatrix(*get(),cutSpec,cutRange) ; }
188 TMatrixDSym* correlationMatrix(const char* cutSpec=0, const char* cutRange=0) const { return correlationMatrix(*get(),cutSpec,cutRange) ; }
189 TMatrixDSym* covarianceMatrix(const RooArgList& vars, const char* cutSpec=0, const char* cutRange=0) const { return corrcovMatrix(vars,cutSpec,cutRange,kFALSE) ; }
190 TMatrixDSym* correlationMatrix(const RooArgList& vars, const char* cutSpec=0, const char* cutRange=0) const { return corrcovMatrix(vars,cutSpec,cutRange,kTRUE) ; }
191
192 RooRealVar* meanVar(RooRealVar &var, const char* cutSpec=0, const char* cutRange=0) const ;
193 RooRealVar* rmsVar(RooRealVar &var, const char* cutSpec=0, const char* cutRange=0) const ;
194
195 virtual RooPlot* statOn(RooPlot* frame,
196 const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(),
197 const RooCmdArg& arg3=RooCmdArg::none(), const RooCmdArg& arg4=RooCmdArg::none(),
198 const RooCmdArg& arg5=RooCmdArg::none(), const RooCmdArg& arg6=RooCmdArg::none(),
199 const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;
200
201 virtual RooPlot* statOn(RooPlot* frame, const char *what,
202 const char *label= "", Int_t sigDigits= 2,
203 Option_t *options= "NELU", Double_t xmin=0.15,
204 Double_t xmax= 0.65,Double_t ymax=0.85,
205 const char* cutSpec=0, const char* cutRange=0,
206 const RooCmdArg* formatCmd=0);
207
208 virtual void RecursiveRemove(TObject *obj);
209
210 Bool_t hasFilledCache() const ;
211
212 void addOwnedComponent(const char* idxlabel, RooAbsData& data) ;
213 static void claimVars(RooAbsData*) ;
214 static Bool_t releaseVars(RooAbsData*) ;
215
217
218 static void setDefaultStorageType(StorageType s) ;
219
221
222protected:
223
225
227
228 Double_t corrcov(RooRealVar &x,RooRealVar &y, const char* cutSpec, const char* cutRange, Bool_t corr) const ;
229 TMatrixDSym* corrcovMatrix(const RooArgList& vars, const char* cutSpec, const char* cutRange, Bool_t corr) const ;
230
231 virtual void optimizeReadingWithCaching(RooAbsArg& arg, const RooArgSet& cacheList, const RooArgSet& keepObsList) ;
233
234
235 // PlotOn implementation
236 virtual RooPlot *plotOn(RooPlot *frame, PlotOpt o) const ;
237 virtual RooPlot *plotAsymOn(RooPlot* frame, const RooAbsCategoryLValue& asymCat, PlotOpt o) const ;
238 virtual RooPlot *plotEffOn(RooPlot* frame, const RooAbsCategoryLValue& effCat, PlotOpt o) const ;
239
240
241 // Constant term optimizer interface
242 friend class RooAbsArg ;
243 friend class RooAbsReal ;
245 friend class RooAbsCachedPdf ;
246
247 virtual void cacheArgs(const RooAbsArg* owner, RooArgSet& varSet, const RooArgSet* nset=0, Bool_t skipZeroWeights=kFALSE) ;
248 virtual void resetCache() ;
249 virtual void setArgStatus(const RooArgSet& set, Bool_t active) ;
250 virtual void attachCache(const RooAbsArg* newOwner, const RooArgSet& cachedVars) ;
251
252 virtual RooAbsData* cacheClone(const RooAbsArg* newCacheOwner, const RooArgSet* newCacheVars, const char* newName=0) = 0 ; // DERIVED
253 virtual RooAbsData* reduceEng(const RooArgSet& varSubset, const RooFormulaVar* cutVar, const char* cutRange=0,
254 Int_t nStart=0, Int_t nStop=2000000000, Bool_t copyCache=kTRUE) = 0 ; // DERIVED
255
256 RooRealVar* dataRealVar(const char* methodname, RooRealVar& extVar) const ;
257
258 // Column structure definition
259 RooArgSet _vars; // Dimensions of this data set
260 RooArgSet _cachedVars ; //! External variables cached with this data set
261
262 TIterator *_iterator; //! Iterator over dimension variables
263 TIterator *_cacheIter ; //! Iterator over cached variables
264
265 RooAbsDataStore* _dstore ; // Data storage implementation
266
267 std::map<std::string,RooAbsData*> _ownedComponents ; // Owned external components
268
269private:
270 ClassDef(RooAbsData, 5) // Abstract data collection
271};
272
273#endif
int Int_t
Definition: RtypesCore.h:41
const Bool_t kFALSE
Definition: RtypesCore.h:88
bool Bool_t
Definition: RtypesCore.h:59
double Double_t
Definition: RtypesCore.h:55
const Bool_t kTRUE
Definition: RtypesCore.h:87
const char Option_t
Definition: RtypesCore.h:62
#define ClassDef(name, id)
Definition: Rtypes.h:324
float xmin
Definition: THbookFile.cxx:93
float xmax
Definition: THbookFile.cxx:93
float type_of_call hi(const int &, const int &)
float ymax
Definition: THbookFile.cxx:93
double sqrt(double)
Roo1DTable implements a one-dimensional table.
Definition: Roo1DTable.h:24
RooAbsArg is the common abstract base class for objects that represent a value (of arbitrary type) an...
Definition: RooAbsArg.h:66
RooAbsBinning is the abstract base class for RooRealVar binning definitions This class defines the in...
Definition: RooAbsBinning.h:26
RooAbsCachedPdf is the abstract base class for p.d.f.s that need or want to cache their evaluate() ou...
RooAbsCategoryLValue is the common abstract base class for objects that represent a discrete value th...
RooAbsCategory is the common abstract base class for objects that represent a discrete value with a f...
RooAbsDataStore is the abstract base class for data collection that use a TTree as internal storage m...
RooAbsData is the common abstract base class for binned and unbinned datasets.
Definition: RooAbsData.h:37
RooRealVar * dataRealVar(const char *methodname, RooRealVar &extVar) const
Internal method to check if given RooRealVar maps to a RooRealVar in this dataset.
Definition: RooAbsData.cxx:884
TIterator * _cacheIter
Iterator over dimension variables.
Definition: RooAbsData.h:263
virtual const RooArgSet * get() const
Definition: RooAbsData.h:79
const RooAbsDataStore * store() const
Definition: RooAbsData.h:56
virtual void RecursiveRemove(TObject *obj)
If one of the TObject we have a referenced to is deleted, remove the reference.
RooAbsData()
Default constructor.
Definition: RooAbsData.cxx:117
static void setDefaultStorageType(StorageType s)
Definition: RooAbsData.cxx:77
virtual Bool_t changeObservableName(const char *from, const char *to)
Definition: RooAbsData.cxx:265
virtual Roo1DTable * table(const RooArgSet &catSet, const char *cuts="", const char *opts="") const
Construct table for product of categories in catSet.
Definition: RooAbsData.cxx:733
RooAbsDataStore * store()
Definition: RooAbsData.h:55
virtual void reset()
Definition: RooAbsData.cxx:292
virtual RooAbsData * cacheClone(const RooAbsArg *newCacheOwner, const RooArgSet *newCacheVars, const char *newName=0)=0
TMatrixDSym * covarianceMatrix(const RooArgList &vars, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:189
virtual Double_t weightError(ErrorType etype=Poisson) const
Return error on current weight (dummy implementation returning zero)
Definition: RooAbsData.cxx:517
static Bool_t releaseVars(RooAbsData *)
If return value is true variables can be deleted.
Definition: RooAbsData.cxx:104
Double_t sigma(RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:180
TMatrixDSym * correlationMatrix(const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:188
Double_t corrcov(RooRealVar &x, RooRealVar &y, const char *cutSpec, const char *cutRange, Bool_t corr) const
Internal method to calculate single correlation and covariance elements.
Definition: RooAbsData.cxx:903
TMatrixDSym * corrcovMatrix(const RooArgList &vars, const char *cutSpec, const char *cutRange, Bool_t corr) const
Return covariance matrix from data for given list of observables.
Definition: RooAbsData.cxx:959
virtual Bool_t isNonPoissonWeighted() const
Definition: RooAbsData.h:98
TMatrixDSym * correlationMatrix(const RooArgList &vars, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:190
virtual Double_t sumEntries(const char *cutSpec, const char *cutRange=0) const =0
virtual TList * split(const RooAbsCategory &splitCat, Bool_t createEmptyDataSets=kFALSE) const
Split dataset into subsets based on states of given splitCat in this dataset.
virtual Double_t sumEntries() const =0
virtual RooPlot * statOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
Add a box with statistics information to the specified frame.
Bool_t getRange(RooRealVar &var, Double_t &lowest, Double_t &highest, Double_t marginFrac=0, Bool_t symMode=kFALSE) const
Fill Doubles 'lowest' and 'highest' with the lowest and highest value of observable 'var' in this dat...
Double_t skewness(RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:181
RooRealVar * rmsVar(RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Create a RooRealVar containing the RMS of observable 'var' in this dataset.
void printMultiline(std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const
Interface for detailed printing of object.
Definition: RooAbsData.cxx:786
virtual RooAbsData * reduceEng(const RooArgSet &varSubset, const RooFormulaVar *cutVar, const char *cutRange=0, Int_t nStart=0, Int_t nStop=2000000000, Bool_t copyCache=kTRUE)=0
virtual TH1 * fillHistogram(TH1 *hist, const RooArgList &plotVars, const char *cuts="", const char *cutRange=0) const
Loop over columns of our tree data and fill the input histogram.
Double_t standMoment(RooRealVar &var, Double_t order, const char *cutSpec=0, const char *cutRange=0) const
Calculate standardized moment.
Definition: RooAbsData.cxx:808
void checkInit() const
virtual Bool_t valid() const
Definition: RooAbsData.h:85
TH1 * createHistogram(const char *name, const RooAbsRealLValue &xvar, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const
Calls createHistogram(const char *name, const RooAbsRealLValue& xvar, const RooLinkedList& argList) c...
Definition: RooAbsData.cxx:613
virtual RooPlot * plotEffOn(RooPlot *frame, const RooAbsCategoryLValue &effCat, PlotOpt o) const
Create and fill a histogram with the efficiency N[1] / ( N[1] + N[0] ), where N(1/0) is the number of...
virtual void optimizeReadingWithCaching(RooAbsArg &arg, const RooArgSet &cacheList, const RooArgSet &keepObsList)
Prepare dataset for use with cached constant terms listed in 'cacheList' of expression 'arg'.
static void claimVars(RooAbsData *)
Definition: RooAbsData.cxx:95
TIterator * _iterator
External variables cached with this data set.
Definition: RooAbsData.h:262
virtual Double_t weight() const =0
static StorageType defaultStorageType
Definition: RooAbsData.h:224
virtual Double_t weightSquared() const =0
Double_t moment(RooRealVar &var, Double_t order, const char *cutSpec=0, const char *cutRange=0) const
Calculate moment of requested order.
Definition: RooAbsData.cxx:827
TMatrixDSym * covarianceMatrix(const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:187
virtual Bool_t isWeighted() const
Definition: RooAbsData.h:94
RooAbsData * reduce(const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg(), const RooCmdArg &arg3=RooCmdArg(), const RooCmdArg &arg4=RooCmdArg(), const RooCmdArg &arg5=RooCmdArg(), const RooCmdArg &arg6=RooCmdArg(), const RooCmdArg &arg7=RooCmdArg(), const RooCmdArg &arg8=RooCmdArg())
Create a reduced copy of this dataset.
Definition: RooAbsData.cxx:360
void addOwnedComponent(const char *idxlabel, RooAbsData &data)
RooRealVar * meanVar(RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Create a RooRealVar containing the mean of observable 'var' in this dataset.
virtual void fill()
Definition: RooAbsData.cxx:278
RooArgSet _vars
Definition: RooAbsData.h:259
virtual void printName(std::ostream &os) const
Print name of dataset.
Definition: RooAbsData.cxx:763
virtual void Print(Option_t *options=0) const
Print TNamed name and title.
Definition: RooAbsData.h:161
virtual RooPlot * plotAsymOn(RooPlot *frame, const RooAbsCategoryLValue &asymCat, PlotOpt o) const
Create and fill a histogram with the asymmetry N[+] - N[-] / ( N[+] + N[-] ), where N(+/-) is the num...
Double_t kurtosis(RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:182
RooAbsData * getSimData(const char *idxstate)
virtual void Draw(Option_t *option="")
Forward draw command to data store.
Double_t correlation(RooRealVar &x, RooRealVar &y, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:185
virtual void attachCache(const RooAbsArg *newOwner, const RooArgSet &cachedVars)
Internal method – Attach dataset copied with cache contents to copied instances of functions.
Definition: RooAbsData.cxx:325
void convertToVectorStore()
Convert tree-based storage to vector-based storage.
Definition: RooAbsData.cxx:253
RooArgSet _cachedVars
Definition: RooAbsData.h:260
virtual void add(const RooArgSet &row, Double_t weight=1, Double_t weightError=0)=0
virtual Int_t numEntries() const
Definition: RooAbsData.cxx:285
void convertToTreeStore()
Convert vector-based storage to tree-based storage.
virtual Int_t defaultPrintContents(Option_t *opt) const
Define default print options, for a given print style.
Definition: RooAbsData.cxx:794
StorageType storageType
Definition: RooAbsData.h:226
Double_t covariance(RooRealVar &x, RooRealVar &y, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:184
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const
Calls RooPlot* plotOn(RooPlot* frame, const RooLinkedList& cmdList) const ;.
Definition: RooAbsData.cxx:531
virtual void resetCache()
Internal method – Remove cached function values.
Definition: RooAbsData.cxx:316
Bool_t hasFilledCache() const
TTree * GetClonedTree() const
Return a clone of the TTree which stores the data or create such a tree if vector storage is used.
virtual void cacheArgs(const RooAbsArg *owner, RooArgSet &varSet, const RooArgSet *nset=0, Bool_t skipZeroWeights=kFALSE)
Internal method – Cache given set of functions with data.
Definition: RooAbsData.cxx:308
void attachBuffers(const RooArgSet &extObs)
virtual RooAbsData * emptyClone(const char *newName=0, const char *newTitle=0, const RooArgSet *vars=0, const char *wgtVarName=0) const =0
virtual void setArgStatus(const RooArgSet &set, Bool_t active)
Definition: RooAbsData.cxx:332
virtual void printClassName(std::ostream &os) const
Print class name of dataset.
Definition: RooAbsData.cxx:779
std::map< std::string, RooAbsData * > _ownedComponents
Definition: RooAbsData.h:267
static StorageType getDefaultStorageType()
Definition: RooAbsData.cxx:88
Double_t mean(RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:179
void resetBuffers()
Bool_t canSplitFast() const
virtual void printTitle(std::ostream &os) const
Print title of dataset.
Definition: RooAbsData.cxx:771
RooAbsDataStore * _dstore
Iterator over cached variables.
Definition: RooAbsData.h:265
const TTree * tree() const
Return a pointer to the TTree which stores the data.
Bool_t allClientsCached(RooAbsArg *, const RooArgSet &)
Utility function that determines if all clients of object 'var' appear in given list of cached nodes.
void setDirtyProp(Bool_t flag)
Control propagation of dirty flags from observables in dataset.
Definition: RooAbsData.cxx:340
virtual ~RooAbsData()
Destructor.
Definition: RooAbsData.cxx:229
RooAbsOptTestStatistic is the abstract base class for test statistics objects that evaluate a functio...
RooAbsRealLValue is the common abstract base class for objects that represent a real value that may a...
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:53
virtual void copyCache(const RooAbsArg *source, Bool_t valueOnly=kFALSE, Bool_t setValDirty=kTRUE)
Copy the cached value of another RooAbsArg to our cache.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
RooCmdArg is a named container for two doubles, two integers two object points and three string point...
Definition: RooCmdArg.h:27
static const RooCmdArg & none()
Return reference to null argument.
Definition: RooCmdArg.cxx:50
RooLinkedList is an collection class for internal use, storing a collection of RooAbsArg pointers in ...
Definition: RooLinkedList.h:35
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
virtual StyleOption defaultPrintStyle(Option_t *opt) const
static std::ostream & defaultPrintStream(std::ostream *os=0)
Return a reference to the current default stream to use in Print().
virtual void printStream(std::ostream &os, Int_t contents, StyleOption style, TString indent="") const
Print description of object on ostream, printing contents set by contents integer,...
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:36
The TH1 histogram class.
Definition: TH1.h:56
Iterator abstract base class.
Definition: TIterator.h:30
A doubly linked list.
Definition: TList.h:44
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
A TTree object has a header with a name and a title.
Definition: TTree.h:71
Double_t y[n]
Definition: legend1.C:17
Double_t x[n]
Definition: legend1.C:17
static constexpr double s
Double_t scaleFactor
Definition: RooAbsData.h:137
const char * cuts
Definition: RooAbsData.h:123
const char * cutRange
Definition: RooAbsData.h:128
Double_t addToWgtOther
Definition: RooAbsData.h:133
const char * histName
Definition: RooAbsData.h:129
const char * addToHistName
Definition: RooAbsData.h:131
Double_t addToWgtSelf
Definition: RooAbsData.h:132
RooAbsData::ErrorType etype
Definition: RooAbsData.h:127
RooAbsBinning * bins
Definition: RooAbsData.h:126
Bool_t correctForBinWidth
Definition: RooAbsData.h:136
Option_t * drawOptions
Definition: RooAbsData.h:125