50namespace TestStatistics {
131 using RealSpans = std::map<RooFit::Detail::DataKey, std::span<const double>>;
132 using CategorySpans = std::map<RooFit::Detail::DataKey, std::span<const RooAbsCategory::value_type>>;
150 virtual double sumEntries(
const char* cutSpec,
const char* cutRange=
nullptr)
const = 0 ;
160 virtual void reset() ;
163 bool getRange(
const RooAbsRealLValue& var,
double& lowest,
double& highest,
double marginFrac=0.0,
bool symMode=
false)
const ;
217 const char *
name=
"hist")
const;
219 const char* cuts=
"",
const char *
name=
"hist")
const;
230 void printName(std::ostream& os)
const override ;
231 void printTitle(std::ostream& os)
const override ;
239 double moment(
const RooRealVar& var,
double order,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const ;
240 double moment(
const RooRealVar& var,
double order,
double offset,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const ;
241 double standMoment(
const RooRealVar& var,
double order,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const ;
243 double mean(
const RooRealVar& var,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const {
return moment(var,1,0,cutSpec,cutRange) ; }
244 double sigma(
const RooRealVar& var,
const char* cutSpec=
nullptr,
const char* cutRange=
nullptr)
const {
return sqrt(
moment(var,2,cutSpec,cutRange)) ; }
266 const char *label=
"",
Int_t sigDigits= 2,
269 const char* cutSpec=
nullptr,
const char* cutRange=
nullptr,
343 std::size_t nStart = 0, std::size_t = std::numeric_limits<std::size_t>::max()) = 0 ;
#define ClassDefOverride(name, id)
static void indent(ostringstream &buf, int indent_level)
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char Pixmap_t Pixmap_t PictureAttributes_t attr const char char ret_data h unsigned char height h offset
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t index
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char Pixmap_t Pixmap_t PictureAttributes_t attr const char char ret_data h unsigned char height h Atom_t Int_t ULong_t ULong_t unsigned char prop_list Atom_t Atom_t Atom_t Time_t UChar_t len
Roo1DTable implements a one-dimensional table.
RooAbsArg is the common abstract base class for objects that represent a value and a "shape" in RooFi...
RooAbsBinning is the abstract base class for RooRealVar binning definitions.
RooAbsCategoryLValue is the common abstract base class for objects that represent a discrete value th...
A space to attach TBranches.
Storage_t const & get() const
Const access to the underlying stl container.
RooAbsDataStore is the abstract base class for data collection that use a TTree as internal storage m...
virtual const RooArgSet * get(Int_t index) const =0
RooAbsData is the common abstract base class for binned and unbinned datasets.
virtual double weight() const =0
virtual double sumEntries() const =0
Return effective number of entries in dataset, i.e., sum all weights.
RooFit::OwningPtr< TMatrixDSym > correlationMatrix(const RooArgList &vars, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
double skewness(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
virtual const RooArgSet * get() const
const RooAbsDataStore * store() const
std::map< RooFit::Detail::DataKey, std::span< const double > > RealSpans
RooRealVar * meanVar(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
Create a RooRealVar containing the mean of observable 'var' in this dataset.
void printMultiline(std::ostream &os, Int_t contents, bool verbose=false, TString indent="") const override
Interface for detailed printing of object.
const TNamed * _namePtr
! De-duplicated name pointer. This will be equal for all objects with the same name.
RooAbsData()
Default constructor.
static void setDefaultStorageType(StorageType s)
void SetName(const char *name) override
Set the name of the TNamed.
CategorySpans getCategoryBatches(std::size_t first=0, std::size_t len=std::numeric_limits< std::size_t >::max()) const
RooFit::OwningPtr< TMatrixDSym > corrcovMatrix(const RooArgList &vars, const char *cutSpec, const char *cutRange, bool corr) const
Return covariance matrix from data for given list of observables.
RooRealVar * dataRealVar(const char *methodname, const RooRealVar &extVar) const
Internal method to check if given RooRealVar maps to a RooRealVar in this dataset.
virtual Roo1DTable * table(const RooArgSet &catSet, const char *cuts="", const char *opts="") const
Construct table for product of categories in catSet.
void setGlobalObservables(RooArgSet const &globalObservables)
Sets the global observables stored in this data.
RooAbsDataStore * store()
void printClassName(std::ostream &os) const override
Print class name of dataset.
RooFit::OwningPtr< TMatrixDSym > covarianceMatrix(const char *cutSpec=nullptr, const char *cutRange=nullptr) const
RooRealVar * rmsVar(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
Create a RooRealVar containing the RMS of observable 'var' in this dataset.
double standMoment(const RooRealVar &var, double order, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
Calculate standardized moment.
RooFit::UniqueId< RooAbsData > const & uniqueId() const
Returns a unique ID that is different for every instantiated RooAbsData object.
virtual bool changeObservableName(const char *from, const char *to)
void printTitle(std::ostream &os) const override
Print title of dataset.
void RecursiveRemove(TObject *obj) override
If one of the TObject we have a referenced to is deleted, remove the reference.
virtual double weightError(ErrorType=Poisson) const
Return the symmetric error on the current weight.
void setDirtyProp(bool flag)
Control propagation of dirty flags from observables in dataset.
virtual RooFit::OwningPtr< TList > split(const RooAbsCategory &splitCat, bool createEmptyDataSets=false) const
Split the dataset into subsets based on states of a categorical variable in this dataset.
double mean(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
double correlation(RooRealVar &x, RooRealVar &y, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
RooFit::OwningPtr< TMatrixDSym > correlationMatrix(const char *cutSpec=nullptr, const char *cutRange=nullptr) const
virtual TH1 * fillHistogram(TH1 *hist, const RooArgList &plotVars, const char *cuts="", const char *cutRange=nullptr) const
Loop over columns of our tree data and fill the input histogram.
RooFit::OwningPtr< RooAbsData > reduce(const RooCmdArg &arg1, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Create a reduced copy of this dataset.
virtual void setArgStatus(const RooArgSet &set, bool active)
virtual void cacheArgs(const RooAbsArg *owner, RooArgSet &varSet, const RooArgSet *nset=nullptr, bool skipZeroWeights=false)
Internal method – Cache given set of functions with data.
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...
RealSpans getBatches(std::size_t first=0, std::size_t len=std::numeric_limits< std::size_t >::max()) const
Write information to retrieve data columns into evalData.spans.
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'.
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) const
static StorageType defaultStorageType
std::map< RooFit::Detail::DataKey, std::span< const RooAbsCategory::value_type > > CategorySpans
virtual std::span< const double > getWeightBatch(std::size_t first, std::size_t len, bool sumW2=false) const =0
Return event weights of all events in range [first, first+len).
double corrcov(const RooRealVar &x, const RooRealVar &y, const char *cutSpec, const char *cutRange, bool corr) const
Internal method to calculate single correlation and covariance elements.
bool allClientsCached(RooAbsArg *, const RooArgSet &)
Utility function that determines if all clients of object 'var' appear in given list of cached nodes.
std::unique_ptr< RooAbsDataStore > _dstore
Data storage implementation.
double sigma(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
void addOwnedComponent(const char *idxlabel, RooAbsData &data)
RooFit::OwningPtr< TMatrixDSym > covarianceMatrix(const RooArgList &vars, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
RooArgSet _vars
Dimensions of this data set.
bool canSplitFast() const
virtual RooPlot * statOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Add a box with statistics information to the specified frame.
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...
void Print(Option_t *options=nullptr) const override
This method must be overridden when a class wants to print itself.
RooAbsData * getSimData(const char *idxstate)
void copyGlobalObservables(const RooAbsData &other)
virtual bool isNonPoissonWeighted() const
bool hasFilledCache() const
double sumEntriesW2() const
Return sum of squared weights of this data.
virtual void attachCache(const RooAbsArg *newOwner, const RooArgSet &cachedVars)
Internal method – Attach dataset copied with cache contents to copied instances of functions.
void convertToVectorStore()
Convert tree-based storage to vector-based storage.
const TNamed * namePtr() const
De-duplicated pointer to this object's name.
bool getRange(const RooAbsRealLValue &var, double &lowest, double &highest, double marginFrac=0.0, bool symMode=false) const
Fill Doubles 'lowest' and 'highest' with the lowest and highest value of observable 'var' in this dat...
RooArgSet _cachedVars
! External variables cached with this data set
const RooFit::UniqueId< RooAbsData > _uniqueId
!
virtual Int_t numEntries() const
Return number of entries in dataset, i.e., count unweighted entries.
virtual void convertToTreeStore()
Convert vector-based storage to tree-based storage.
double moment(const RooRealVar &var, double order, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
Calculate moment of requested order.
RooArgSet const * getGlobalObservables() const
Returns snapshot of global observables stored in this data.
RooAbsData & operator=(const RooAbsData &other)
virtual RooFit::OwningPtr< RooAbsData > emptyClone(const char *newName=nullptr, const char *newTitle=nullptr, const RooArgSet *vars=nullptr, const char *wgtVarName=nullptr) const =0
void SetNameTitle(const char *name, const char *title) override
Set all the TNamed parameters (name and title).
void copyImpl(const RooAbsData &other, const char *newname)
virtual void resetCache()
Internal method – Remove cached function values.
virtual std::unique_ptr< RooAbsData > reduceEng(const RooArgSet &varSubset, const RooFormulaVar *cutVar, const char *cutRange=nullptr, std::size_t nStart=0, std::size_t=std::numeric_limits< std::size_t >::max())=0
Int_t defaultPrintContents(Option_t *opt) const override
Define default print options, for a given print style.
std::unique_ptr< RooArgSet > _globalObservables
Snapshot of global observables.
virtual double weightSquared() const =0
TTree * GetClonedTree() const
Return a clone of the TTree which stores the data or create such a tree if vector storage is used.
void attachBuffers(const RooArgSet &extObs)
std::map< std::string, RooAbsData * > _ownedComponents
Owned external components.
double covariance(RooRealVar &x, RooRealVar &y, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
static StorageType getDefaultStorageType()
virtual bool isWeighted() const
virtual void add(const RooArgSet &row, double weight=1)=0
double kurtosis(const RooRealVar &var, const char *cutSpec=nullptr, const char *cutRange=nullptr) const
virtual double sumEntries(const char *cutSpec, const char *cutRange=nullptr) const =0
Return effective number of entries in dataset inside range or after cuts, i.e., sum certain weights.
TH1 * createHistogram(const char *name, const RooAbsRealLValue &xvar, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) const
Calls createHistogram(const char *name, const RooAbsRealLValue& xvar, const RooLinkedList& argList) c...
void printName(std::ostream &os) const override
Print name of dataset.
const TTree * tree() const
Return a pointer to the TTree which stores the data.
void initializeVars(RooArgSet const &vars)
~RooAbsData() override
Destructor.
virtual void weightError(double &lo, double &hi, ErrorType=Poisson) const
Return the asymmetric errors on the current weight.
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...
RooArgList is a container object that can hold multiple RooAbsArg objects.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
RooCmdArg is a named container for two doubles, two integers two object points and three string point...
RooLinkedList is an collection class for internal use, storing a collection of RooAbsArg pointers in ...
A RooPlot is a plot frame and a container for graphics objects within that frame.
RooPlotable is a 'mix-in' base class that define the standard RooFit plotting and printing methods.
virtual StyleOption defaultPrintStyle(Option_t *opt) const
static std::ostream & defaultPrintStream(std::ostream *os=nullptr)
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.
RooSimultaneous facilitates simultaneous fitting of multiple PDFs to subsets of a given dataset.
The RooStringView is a wrapper around a C-style string that can also be constructed from a std::strin...
TH1 is the base class of all histogram classes in ROOT.
2-D histogram with a float per channel (see TH1 documentation)}
The TNamed class is the base class for all named ROOT classes.
Mother of all ROOT objects.
A TTree represents a columnar dataset.
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
T * OwningPtr
An alias for raw pointers for indicating that the return type of a RooFit function is an owning point...
const char * addToHistName
RooAbsData::ErrorType etype
Analyzes a function given a dataset/observables for constant terms and caches those in the dataset.
A UniqueId can be added as a class member to enhance any class with a unique identifier for each inst...