Logo ROOT  
Reference Guide
RooAbsData.h
Go to the documentation of this file.
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 "RooArgList.h"
23#include "RooSpan.h"
24
25class RooAbsArg;
26class RooAbsReal ;
27class RooRealVar;
29class RooAbsCategory ;
31class Roo1DTable ;
32class RooPlot;
33class RooArgList;
34class TH1;
35class TH2F;
36class RooAbsBinning ;
37class Roo1DTable ;
38class RooAbsDataStore ;
39template<typename T> class TMatrixTSym;
41class RooFormulaVar;
42
43
44class RooAbsData : public TNamed, public RooPrintable {
45public:
46
47 // Constructors, factory methods etc.
48 RooAbsData() ;
49 RooAbsData(const char *name, const char *title, const RooArgSet& vars, RooAbsDataStore* store=0) ;
50 RooAbsData(const RooAbsData& other, const char* newname = 0) ;
51 RooAbsData& operator=(const RooAbsData& other);
52 virtual ~RooAbsData() ;
53 virtual RooAbsData* emptyClone(const char* newName=0, const char* newTitle=0, const RooArgSet* vars=0, const char* wgtVarName=0) const = 0 ;
54
55 // Reduction methods
56 RooAbsData* reduce(const RooCmdArg& arg1,const RooCmdArg& arg2=RooCmdArg(),const RooCmdArg& arg3=RooCmdArg(),const RooCmdArg& arg4=RooCmdArg(),
57 const RooCmdArg& arg5=RooCmdArg(),const RooCmdArg& arg6=RooCmdArg(),const RooCmdArg& arg7=RooCmdArg(),const RooCmdArg& arg8=RooCmdArg()) ;
58 RooAbsData* reduce(const char* cut) ;
59 RooAbsData* reduce(const RooFormulaVar& cutVar) ;
60 RooAbsData* reduce(const RooArgSet& varSubset, const char* cut=0) ;
61 RooAbsData* reduce(const RooArgSet& varSubset, const RooFormulaVar& cutVar) ;
62
64 const RooAbsDataStore* store() const { return _dstore ; }
65 const TTree* tree() const ;
66 TTree *GetClonedTree() const;
67
69 virtual void convertToTreeStore();
70
71 void attachBuffers(const RooArgSet& extObs) ;
72 void resetBuffers() ;
73
74
75 virtual void Draw(Option_t* option = "") ;
76
77 void checkInit() const ;
78
79 // Change name of observable
80 virtual Bool_t changeObservableName(const char* from, const char* to) ;
81
82 // Add one ore more rows of data
83 virtual void add(const RooArgSet& row, Double_t weight=1, Double_t weightError=0) = 0 ; // DERIVED
84 virtual void fill() ;
85
86 // Load a given row of data
87 virtual inline const RooArgSet* get() const {
88 // Return current row of dataset
89 return &_vars ;
90 }
91 virtual Double_t weight() const = 0 ; // DERIVED
92 virtual Double_t weightSquared() const = 0 ; // DERIVED
93 virtual Bool_t valid() const { return kTRUE ; }
95 virtual Double_t weightError(ErrorType etype=Poisson) const ;
96 virtual void weightError(Double_t& lo, Double_t& hi, ErrorType etype=Poisson) const ;
97 virtual const RooArgSet* get(Int_t index) const ;
98
99 ////////////////////////////////////////////////////////////////////////////////
100 /// Return event weights of all events in range [first, first+len).
101 /// If no contiguous structure of weights is stored, an empty batch can be returned.
102 /// This indicates that the weight is constant. Use weight() to retrieve it.
103 virtual RooSpan<const double> getWeightBatch(std::size_t first, std::size_t len) const = 0;
104
105 virtual Int_t numEntries() const ;
106 virtual Double_t sumEntries() const = 0 ;
107 virtual Double_t sumEntries(const char* cutSpec, const char* cutRange=0) const = 0 ; // DERIVED
108 virtual Bool_t isWeighted() const {
109 // Do events in dataset have weights?
110 return kFALSE ;
111 }
112 virtual Bool_t isNonPoissonWeighted() const {
113 // Do events in dataset have non-integer weights?
114 return kFALSE ;
115 }
116 virtual void reset() ;
117
118
119 Bool_t getRange(const RooAbsRealLValue& var, Double_t& lowest, Double_t& highest, Double_t marginFrac=0, Bool_t symMode=kFALSE) const ;
120
121 // Plot the distribution of a real valued arg
122 virtual Roo1DTable* table(const RooArgSet& catSet, const char* cuts="", const char* opts="") const ;
123 virtual Roo1DTable* table(const RooAbsCategory& cat, const char* cuts="", const char* opts="") const ;
124 /// Calls RooPlot* plotOn(RooPlot* frame, const RooLinkedList& cmdList) const ;
125 virtual RooPlot* plotOn(RooPlot* frame,
126 const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(),
127 const RooCmdArg& arg3=RooCmdArg::none(), const RooCmdArg& arg4=RooCmdArg::none(),
128 const RooCmdArg& arg5=RooCmdArg::none(), const RooCmdArg& arg6=RooCmdArg::none(),
129 const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;
130
131 virtual RooPlot* plotOn(RooPlot* frame, const RooLinkedList& cmdList) const ;
132
133 // WVE --- This needs to be public to avoid CINT problems
134 struct PlotOpt {
137 scaleFactor(1.) {} ;
138 const char* cuts ;
142 const char* cutRange ;
143 const char* histName ;
145 const char* addToHistName ;
152 } ;
153
154 // Split a dataset by a category
155 virtual TList* split(const RooAbsCategory& splitCat, Bool_t createEmptyDataSets=kFALSE) const ;
156
157 // Fast splitting for SimMaster setData
158 Bool_t canSplitFast() const ;
159 RooAbsData* getSimData(const char* idxstate) ;
160
161 /// Calls createHistogram(const char *name, const RooAbsRealLValue& xvar, const RooLinkedList& argList) const
162 TH1 *createHistogram(const char *name, const RooAbsRealLValue& xvar,
163 const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(),
164 const RooCmdArg& arg3=RooCmdArg::none(), const RooCmdArg& arg4=RooCmdArg::none(),
165 const RooCmdArg& arg5=RooCmdArg::none(), const RooCmdArg& arg6=RooCmdArg::none(),
166 const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) const ;
167 /// Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset.
168 TH1 *createHistogram(const char *name, const RooAbsRealLValue& xvar, const RooLinkedList& argList) const ;
169 TH1 *createHistogram(const char* varNameList, Int_t xbins=0, Int_t ybins=0, Int_t zbins=0) const ;
170
171 // Fill an existing histogram
172 virtual TH1 *fillHistogram(TH1 *hist, const RooArgList &plotVars, const char *cuts= "", const char* cutRange=0) const;
173
174 // Printing interface (human readable)
175 inline virtual void Print(Option_t *options= 0) const {
176 // Print contents on stdout
178 }
179
180 virtual void printName(std::ostream& os) const ;
181 virtual void printTitle(std::ostream& os) const ;
182 virtual void printClassName(std::ostream& os) const ;
183 void printMultiline(std::ostream& os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const ;
184
185 virtual Int_t defaultPrintContents(Option_t* opt) const ;
186
187 void setDirtyProp(Bool_t flag) ;
188
189 Double_t moment(const RooRealVar& var, Double_t order, const char* cutSpec=0, const char* cutRange=0) const ;
190 Double_t moment(const RooRealVar& var, Double_t order, Double_t offset, const char* cutSpec=0, const char* cutRange=0) const ;
191 Double_t standMoment(const RooRealVar& var, Double_t order, const char* cutSpec=0, const char* cutRange=0) const ;
192
193 Double_t mean(const RooRealVar& var, const char* cutSpec=0, const char* cutRange=0) const { return moment(var,1,0,cutSpec,cutRange) ; }
194 Double_t sigma(const RooRealVar& var, const char* cutSpec=0, const char* cutRange=0) const { return sqrt(moment(var,2,cutSpec,cutRange)) ; }
195 Double_t skewness(const RooRealVar& var, const char* cutSpec=0, const char* cutRange=0) const { return standMoment(var,3,cutSpec,cutRange) ; }
196 Double_t kurtosis(const RooRealVar& var, const char* cutSpec=0, const char* cutRange=0) const { return standMoment(var,4,cutSpec,cutRange) ; }
197
198 Double_t covariance(RooRealVar &x,RooRealVar &y, const char* cutSpec=0, const char* cutRange=0) const { return corrcov(x,y,cutSpec,cutRange,kFALSE) ; }
199 Double_t correlation(RooRealVar &x,RooRealVar &y, const char* cutSpec=0, const char* cutRange=0) const { return corrcov(x,y,cutSpec,cutRange,kTRUE) ; }
200
201 TMatrixDSym* covarianceMatrix(const char* cutSpec=0, const char* cutRange=0) const { return covarianceMatrix(*get(),cutSpec,cutRange) ; }
202 TMatrixDSym* correlationMatrix(const char* cutSpec=0, const char* cutRange=0) const { return correlationMatrix(*get(),cutSpec,cutRange) ; }
203 TMatrixDSym* covarianceMatrix(const RooArgList& vars, const char* cutSpec=0, const char* cutRange=0) const { return corrcovMatrix(vars,cutSpec,cutRange,kFALSE) ; }
204 TMatrixDSym* correlationMatrix(const RooArgList& vars, const char* cutSpec=0, const char* cutRange=0) const { return corrcovMatrix(vars,cutSpec,cutRange,kTRUE) ; }
205
206 RooRealVar* meanVar(const RooRealVar &var, const char* cutSpec=0, const char* cutRange=0) const ;
207 RooRealVar* rmsVar(const RooRealVar &var, const char* cutSpec=0, const char* cutRange=0) const ;
208
209 virtual RooPlot* statOn(RooPlot* frame,
210 const RooCmdArg& arg1=RooCmdArg::none(), const RooCmdArg& arg2=RooCmdArg::none(),
211 const RooCmdArg& arg3=RooCmdArg::none(), const RooCmdArg& arg4=RooCmdArg::none(),
212 const RooCmdArg& arg5=RooCmdArg::none(), const RooCmdArg& arg6=RooCmdArg::none(),
213 const RooCmdArg& arg7=RooCmdArg::none(), const RooCmdArg& arg8=RooCmdArg::none()) ;
214
215 virtual RooPlot* statOn(RooPlot* frame, const char *what,
216 const char *label= "", Int_t sigDigits= 2,
217 Option_t *options= "NELU", Double_t xmin=0.15,
218 Double_t xmax= 0.65,Double_t ymax=0.85,
219 const char* cutSpec=0, const char* cutRange=0,
220 const RooCmdArg* formatCmd=0);
221
222 virtual void RecursiveRemove(TObject *obj);
223
224 Bool_t hasFilledCache() const ;
225
226 void addOwnedComponent(const char* idxlabel, RooAbsData& data) ;
227 static void claimVars(RooAbsData*) ;
228 static Bool_t releaseVars(RooAbsData*) ;
229
231
232 static void setDefaultStorageType(StorageType s) ;
233
235
236protected:
237
239
241
242 Double_t corrcov(const RooRealVar& x, const RooRealVar& y, const char* cutSpec, const char* cutRange, Bool_t corr) const ;
243 TMatrixDSym* corrcovMatrix(const RooArgList& vars, const char* cutSpec, const char* cutRange, Bool_t corr) const ;
244
245 virtual void optimizeReadingWithCaching(RooAbsArg& arg, const RooArgSet& cacheList, const RooArgSet& keepObsList) ;
247
248
249 // PlotOn implementation
250 virtual RooPlot *plotOn(RooPlot *frame, PlotOpt o) const ;
251 virtual RooPlot *plotAsymOn(RooPlot* frame, const RooAbsCategoryLValue& asymCat, PlotOpt o) const ;
252 virtual RooPlot *plotEffOn(RooPlot* frame, const RooAbsCategoryLValue& effCat, PlotOpt o) const ;
253
254
255 // Constant term optimizer interface
256 friend class RooAbsArg ;
257 friend class RooAbsReal ;
259 friend class RooAbsCachedPdf ;
260
261 virtual void cacheArgs(const RooAbsArg* owner, RooArgSet& varSet, const RooArgSet* nset=0, Bool_t skipZeroWeights=kFALSE) ;
262 virtual void resetCache() ;
263 virtual void setArgStatus(const RooArgSet& set, Bool_t active) ;
264 virtual void attachCache(const RooAbsArg* newOwner, const RooArgSet& cachedVars) ;
265
266 virtual RooAbsData* cacheClone(const RooAbsArg* newCacheOwner, const RooArgSet* newCacheVars, const char* newName=0) = 0 ; // DERIVED
267 virtual RooAbsData* reduceEng(const RooArgSet& varSubset, const RooFormulaVar* cutVar, const char* cutRange=0,
268 std::size_t nStart = 0, std::size_t = std::numeric_limits<std::size_t>::max(), Bool_t copyCache=kTRUE) = 0 ; // DERIVED
269
270 RooRealVar* dataRealVar(const char* methodname, const RooRealVar& extVar) const ;
271
272 // Column structure definition
273 RooArgSet _vars; // Dimensions of this data set
274 RooArgSet _cachedVars ; //! External variables cached with this data set
275
276 RooAbsDataStore* _dstore ; // Data storage implementation
277
278 std::map<std::string,RooAbsData*> _ownedComponents ; // Owned external components
279
280private:
281 ClassDef(RooAbsData, 5) // Abstract data collection
282};
283
284#endif
int Int_t
Definition: RtypesCore.h:43
const Bool_t kFALSE
Definition: RtypesCore.h:90
bool Bool_t
Definition: RtypesCore.h:61
double Double_t
Definition: RtypesCore.h:57
const Bool_t kTRUE
Definition: RtypesCore.h:89
const char Option_t
Definition: RtypesCore.h:64
#define ClassDef(name, id)
Definition: Rtypes.h:322
static void indent(ostringstream &buf, int indent_level)
char name[80]
Definition: TGX11.cxx:109
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:23
RooAbsArg is the common abstract base class for objects that represent a value (of arbitrary type) an...
Definition: RooAbsArg.h:73
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 base class for objects that represent a discrete value with a finite number of ...
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:44
RooRealVar * meanVar(const RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Create a RooRealVar containing the mean of observable 'var' in this dataset.
virtual const RooArgSet * get() const
Definition: RooAbsData.h:87
const RooAbsDataStore * store() const
Definition: RooAbsData.h:64
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:286
Double_t skewness(const RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:195
RooRealVar * dataRealVar(const char *methodname, const RooRealVar &extVar) const
Internal method to check if given RooRealVar maps to a RooRealVar in this dataset.
Definition: RooAbsData.cxx:900
virtual Roo1DTable * table(const RooArgSet &catSet, const char *cuts="", const char *opts="") const
Construct table for product of categories in catSet.
Definition: RooAbsData.cxx:748
RooAbsDataStore * store()
Definition: RooAbsData.h:63
virtual void reset()
Definition: RooAbsData.cxx:313
Double_t sigma(const RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:194
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:203
virtual Double_t weightError(ErrorType etype=Poisson) const
Return error on current weight (dummy implementation returning zero)
Definition: RooAbsData.cxx:532
static Bool_t releaseVars(RooAbsData *)
If return value is true variables can be deleted.
Definition: RooAbsData.cxx:104
TMatrixDSym * correlationMatrix(const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:202
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:975
virtual Bool_t isNonPoissonWeighted() const
Definition: RooAbsData.h:112
TMatrixDSym * correlationMatrix(const RooArgList &vars, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:204
Double_t kurtosis(const RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:196
virtual RooSpan< const double > getWeightBatch(std::size_t first, std::size_t len) const =0
Return event weights of all events in range [first, first+len).
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.
void printMultiline(std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const
Interface for detailed printing of object.
Definition: RooAbsData.cxx:801
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.
void checkInit() const
virtual Bool_t valid() const
Definition: RooAbsData.h:93
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:628
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
virtual Double_t weight() const =0
static StorageType defaultStorageType
Definition: RooAbsData.h:238
virtual Double_t weightSquared() const =0
Double_t standMoment(const RooRealVar &var, Double_t order, const char *cutSpec=0, const char *cutRange=0) const
Calculate standardized moment.
Definition: RooAbsData.cxx:823
TMatrixDSym * covarianceMatrix(const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:201
virtual Bool_t isWeighted() const
Definition: RooAbsData.h:108
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:381
void addOwnedComponent(const char *idxlabel, RooAbsData &data)
virtual void fill()
Definition: RooAbsData.cxx:299
RooArgSet _vars
Definition: RooAbsData.h:273
virtual void printName(std::ostream &os) const
Print name of dataset.
Definition: RooAbsData.cxx:778
virtual void Print(Option_t *options=0) const
Print TNamed name and title.
Definition: RooAbsData.h:175
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...
RooAbsData * getSimData(const char *idxstate)
virtual void Draw(Option_t *option="")
Forward draw command to data store.
virtual RooAbsData * reduceEng(const RooArgSet &varSubset, const RooFormulaVar *cutVar, const char *cutRange=0, std::size_t nStart=0, std::size_t=std::numeric_limits< std::size_t >::max(), Bool_t copyCache=kTRUE)=0
RooRealVar * rmsVar(const RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Create a RooRealVar containing the RMS of observable 'var' in this dataset.
Double_t correlation(RooRealVar &x, RooRealVar &y, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:199
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:346
Double_t corrcov(const RooRealVar &x, const RooRealVar &y, const char *cutSpec, const char *cutRange, Bool_t corr) const
Internal method to calculate single correlation and covariance elements.
Definition: RooAbsData.cxx:919
void convertToVectorStore()
Convert tree-based storage to vector-based storage.
Definition: RooAbsData.cxx:274
RooArgSet _cachedVars
Definition: RooAbsData.h:274
virtual void add(const RooArgSet &row, Double_t weight=1, Double_t weightError=0)=0
Bool_t getRange(const RooAbsRealLValue &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...
virtual Int_t numEntries() const
Definition: RooAbsData.cxx:306
virtual 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:809
StorageType storageType
Definition: RooAbsData.h:240
RooAbsData & operator=(const RooAbsData &other)
Definition: RooAbsData.cxx:210
Double_t moment(const RooRealVar &var, Double_t order, const char *cutSpec=0, const char *cutRange=0) const
Calculate moment of requested order.
Definition: RooAbsData.cxx:842
Double_t covariance(RooRealVar &x, RooRealVar &y, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:198
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:546
virtual void resetCache()
Internal method – Remove cached function values.
Definition: RooAbsData.cxx:337
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:329
void attachBuffers(const RooArgSet &extObs)
Double_t mean(const RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const
Definition: RooAbsData.h:193
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:353
virtual void printClassName(std::ostream &os) const
Print class name of dataset.
Definition: RooAbsData.cxx:794
std::map< std::string, RooAbsData * > _ownedComponents
Definition: RooAbsData.h:278
static StorageType getDefaultStorageType()
Definition: RooAbsData.cxx:88
void resetBuffers()
Bool_t canSplitFast() const
virtual void printTitle(std::ostream &os) const
Print title of dataset.
Definition: RooAbsData.cxx:786
RooAbsDataStore * _dstore
External variables cached with this data set.
Definition: RooAbsData.h:276
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:361
virtual ~RooAbsData()
Destructor.
Definition: RooAbsData.cxx:252
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:60
virtual void copyCache(const RooAbsArg *source, Bool_t valueOnly=kFALSE, Bool_t setValDirty=kTRUE)
Copy the cached value of another RooAbsArg to our cache.
RooArgList is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgList.h:21
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:28
static const RooCmdArg & none()
Return reference to null argument.
Definition: RooCmdArg.cxx:52
A RooFormulaVar is a generic implementation of a real-valued object, which takes a RooArgList of serv...
Definition: RooFormulaVar.h:29
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:44
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 variable that can be changed from the outside.
Definition: RooRealVar.h:35
A simple container to hold a batch of data values.
Definition: RooSpan.h:32
The TH1 histogram class.
Definition: TH1.h:56
2-D histogram with a float per channel (see TH1 documentation)}
Definition: TH2.h:251
A doubly linked list.
Definition: TList.h:44
TMatrixTSym.
Definition: TMatrixTSym.h:34
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 represents a columnar dataset.
Definition: TTree.h:78
Double_t y[n]
Definition: legend1.C:17
Double_t x[n]
Definition: legend1.C:17
static constexpr double s
Definition: first.py:1
static const char * what
Definition: stlLoader.cc:6
Double_t scaleFactor
Definition: RooAbsData.h:151
const char * cuts
Definition: RooAbsData.h:137
const char * cutRange
Definition: RooAbsData.h:142
Double_t addToWgtOther
Definition: RooAbsData.h:147
const char * histName
Definition: RooAbsData.h:143
const char * addToHistName
Definition: RooAbsData.h:145
Double_t addToWgtSelf
Definition: RooAbsData.h:146
RooAbsData::ErrorType etype
Definition: RooAbsData.h:141
RooAbsBinning * bins
Definition: RooAbsData.h:140
Bool_t correctForBinWidth
Definition: RooAbsData.h:150
Option_t * drawOptions
Definition: RooAbsData.h:139