RooDataSet is a container class to hold unbinned data.

The binned equivalent is RooDataHist. In RooDataSet, each data point in N-dimensional space is represented by a RooArgSet of RooRealVar, RooCategory or RooStringVar objects, which can be retrieved using get().

Since RooDataSet saves every event, it allows for fits with highest precision. With a large amount of data, however, it could be beneficial to represent them in binned form, i.e., RooDataHist. Binning the data will incur a loss of information, though. RooDataHist on the other hand may suffer from the curse of dimensionality if a high-dimensional problem with a lot of bins on each axis is tackled.

Inspecting a dataset

Inspect a dataset using Print() with the "verbose" option:

dataset->Print("V");
dataset->get(0)->Print("V");
dataset->get(1)->Print("V");
...

Plotting data.

See RooAbsData::plotOn().

Storage strategy

There are two storage backends:

RooVectorDataStore (default): std::vectors in memory. They are fast, but they cannot be serialised if the dataset exceeds a size of 1 Gb
RooTreeDataStore: Uses a TTree, which can be file backed if a file is opened before creating the dataset. This significantly reduces the memory pressure, as the baskets of the tree can be written to a file, and only the basket that's currently being read stays in RAM.
- Enable tree-backed storage similar to this:
  TFile outputFile("filename.root", "RECREATE");
  
  RooAbsData::setDefaultStorageType(RooAbsData::Tree);
  
  RooDataSet mydata(...);
  
  RooAbsData::setDefaultStorageType
  static void setDefaultStorageType(StorageType s)
  Definition RooAbsData.cxx:78
  
  RooAbsData::Tree
  @ Tree
  Definition RooAbsData.h:248
  
  RooDataSet
  RooDataSet is a container class to hold unbinned data.
  Definition RooDataSet.h:33
  
  TFile
  A ROOT file is a suite of consecutive data records (TKey instances) with a well defined format.
  Definition TFile.h:54
- Or convert an existing memory-backed data storage:
  RooDataSet mydata(...);
  
  TFile outputFile("filename.root", "RECREATE");
  
  mydata.convertToTreeStore();

For the inverse conversion, see RooAbsData::convertToVectorStore().

Definition at line 33 of file RooDataSet.h.

Public Member Functions
	RooDataSet ()
	Default constructor for persistence.

	RooDataSet (const char name, const char title, const RooArgSet &vars, const char *wgtVarName=0)
	Constructor of an empty data set from a RooArgSet defining the dimensions of the data space.

	RooDataSet (const char name, const char title, const RooArgSet &vars, 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())
	Construct an unbinned dataset from a RooArgSet defining the dimensions of the data space.

	RooDataSet (const char name, const char title, RooDataSet data, const RooArgSet &vars, const char cuts=0, const char *wgtVarName=0)
	Constructor of a data set from (part of) an existing data set.

	RooDataSet (const char name, const char title, RooDataSet data, const RooArgSet &vars, const RooFormulaVar &cutVar, const char wgtVarName=0)
	Constructor of a data set from (part of) an existing data set.

	RooDataSet (const char name, const char title, TTree tree, const RooArgSet &vars, const char cuts=0, const char *wgtVarName=0)
	Constructor of a data set from (part of) a ROOT TTree.

	RooDataSet (const char name, const char title, TTree tree, const RooArgSet &vars, const RooFormulaVar &cutVar, const char wgtVarName=0)
	Constructor of a data set from (part of) an ROOT TTRee.

	RooDataSet (RooDataSet const &other, const char *newname=0)
	Copy constructor.

virtual	~RooDataSet ()
	Destructor.

virtual void	add (const RooArgSet &row, Double_t weight, Double_t weightErrorLo, Double_t weightErrorHi)
	Add a data point, with its coordinates specified in the 'data' argset, to the data set.

virtual void	add (const RooArgSet &row, Double_t weight=1.0, Double_t weightError=0) override
	Add a data point, with its coordinates specified in the 'data' argset, to the data set.

virtual RooAbsArg *	addColumn (RooAbsArg &var, Bool_t adjustRange=kTRUE)
	Add a column with the values of the given (function) argument to this dataset.

virtual RooArgSet *	addColumns (const RooArgList &varList)
	Add a column with the values of the given list of (function) argument to this dataset.

virtual void	addFast (const RooArgSet &row, Double_t weight=1.0, Double_t weightError=0)
	Add a data point, with its coordinates specified in the 'data' argset, to the data set.

void	append (RooDataSet &data)
	Add all data points of given data set to this data set.

RooDataHist *	binnedClone (const char newName=0, const char newTitle=0) const
	Return binned clone of this dataset.

virtual TObject *	Clone (const char *newname="") const override
	Make a clone of an object using the Streamer facility.

void	convertToTreeStore () override
	Convert vector-based storage to tree-based storage.

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) const.

TH1 *	createHistogram (const char *name, const RooAbsRealLValue &xvar, const RooLinkedList &argList) const
	Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset.

TH1 *	createHistogram (const char *varNameList, Int_t xbins=0, Int_t ybins=0, Int_t zbins=0) const
	Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset for the variables with given names The range of each observable that is histogrammed is always automatically calculated from the distribution in the dataset.

TH2F *	createHistogram (const RooAbsRealLValue &var1, const RooAbsRealLValue &var2, const char cuts="", const char name="hist") const
	Create a TH2F histogram of the distribution of the specified variable using this dataset.

TH2F *	createHistogram (const RooAbsRealLValue &var1, const RooAbsRealLValue &var2, Int_t nx, Int_t ny, const char cuts="", const char name="hist") const
	Create a TH2F histogram of the distribution of the specified variable using this dataset.

virtual RooAbsData *	emptyClone (const char newName=0, const char newTitle=0, const RooArgSet vars=0, const char wgtVarName=0) const override
	Return an empty clone of this dataset.

virtual const RooArgSet *	get () const override
	Return a RooArgSet with the coordinates of the current event.

virtual const RooArgSet *	get (Int_t index) const override
	Return RooArgSet with coordinates of event 'index'.

void	getBatches (RooBatchCompute::RunContext &evalData, std::size_t first=0, std::size_t len=std::numeric_limits< std::size_t >::max()) const override
	Write information to retrieve data columns into `evalData.spans`.

virtual RooSpan< const double >	getWeightBatch (std::size_t first, std::size_t len) const override

virtual Bool_t	isNonPoissonWeighted () const override
	Returns true if histogram contains bins with entries with a non-integer weight.

virtual Bool_t	isWeighted () const override
	Return true if dataset contains weighted events.

Bool_t	merge (RooDataSet data1, RooDataSet data2=0, RooDataSet data3=0, RooDataSet data4=0, RooDataSet data5=0, RooDataSet data6=0)

Bool_t	merge (std::list< RooDataSet * > dsetList)
	Merge columns of supplied data set(s) with this data set.

void	operator delete (void *ptr)

void *	operator new (size_t bytes)

virtual RooPlot *	plotOnXY (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
	Special plot method for 'X-Y' datasets used in \( \chi^2 \) fitting.

virtual void	printArgs (std::ostream &os) const override
	Print argument of dataset, i.e. the observable names.

void	printMultiline (std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const override
	Print info about this dataset to the specified output stream.

virtual void	printValue (std::ostream &os) const override
	Print value of the dataset, i.e. the sum of weights contained in the dataset.

void	SetName (const char *name) override
	Change the name of this dataset into the given name.

void	SetNameTitle (const char name, const char title) override
	Change the title of this dataset into the given name.

virtual Double_t	sumEntries () const override
	Return effective number of entries in dataset, i.e., sum all weights.

virtual Double_t	sumEntries (const char cutSpec, const char cutRange=0) const override
	Return the sum of weights in all entries matching cutSpec (if specified) and in named range cutRange (if specified)

virtual Double_t	weight () const override
	Return event weight of current event.

virtual void	weightError (Double_t &lo, Double_t &hi, ErrorType etype=SumW2) const override
	Return asymmetric error on weight. (Dummy implementation returning zero)

Double_t	weightError (ErrorType etype=SumW2) const override
	Return error on current weight (dummy implementation returning zero)

virtual Double_t	weightSquared () const override
	Return squared event weight of current event.

Bool_t	write (const char *filename) const
	Write the contents of this dataset to an ASCII file with the specified name.

Bool_t	write (std::ostream &ofs) const
	Write the contents of this dataset to the stream.

Public Member Functions inherited from RooAbsData
	RooAbsData ()
	Default constructor.

	RooAbsData (const char name, const char title, const RooArgSet &vars, RooAbsDataStore *store=0)
	Constructor from a set of variables.

	RooAbsData (const RooAbsData &other, const char *newname=0)
	Copy constructor.

virtual	~RooAbsData ()
	Destructor.

void	addOwnedComponent (const char *idxlabel, RooAbsData &data)

void	attachBuffers (const RooArgSet &extObs)

Bool_t	canSplitFast () const

virtual Bool_t	changeObservableName (const char from, const char to)

void	checkInit () const

void	convertToVectorStore ()
	Convert tree-based storage to vector-based storage.

Double_t	correlation (RooRealVar &x, RooRealVar &y, const char cutSpec=0, const char cutRange=0) const

TMatrixDSym *	correlationMatrix (const char cutSpec=0, const char cutRange=0) const

TMatrixDSym *	correlationMatrix (const RooArgList &vars, const char cutSpec=0, const char cutRange=0) const

Double_t	covariance (RooRealVar &x, RooRealVar &y, const char cutSpec=0, const char cutRange=0) const

TMatrixDSym *	covarianceMatrix (const char cutSpec=0, const char cutRange=0) const

TMatrixDSym *	covarianceMatrix (const RooArgList &vars, const char cutSpec=0, const char cutRange=0) const

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) const.

TH1 *	createHistogram (const char *name, const RooAbsRealLValue &xvar, const RooLinkedList &argList) const
	Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset.

TH1 *	createHistogram (const char *varNameList, Int_t xbins=0, Int_t ybins=0, Int_t zbins=0) const
	Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset for the variables with given names The range of each observable that is histogrammed is always automatically calculated from the distribution in the dataset.

virtual Int_t	defaultPrintContents (Option_t *opt) const
	Define default print options, for a given print style.

virtual void	Draw (Option_t *option="")
	Forward draw command to data store.

virtual void	fill ()

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.

TTree *	GetClonedTree () const
	Return a clone of the TTree which stores the data or create such a tree if vector storage is used.

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 dataset.

RooAbsData *	getSimData (const char *idxstate)

Bool_t	hasFilledCache () const

Double_t	kurtosis (const RooRealVar &var, const char cutSpec=0, const char cutRange=0) const

Double_t	mean (const RooRealVar &var, const char cutSpec=0, const char cutRange=0) const

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.

Double_t	moment (const RooRealVar &var, Double_t order, const char cutSpec=0, const char cutRange=0) const
	Calculate moment of requested order.

Double_t	moment (const RooRealVar &var, Double_t order, Double_t offset, const char cutSpec=0, const char cutRange=0) const
	Return the 'order'-ed moment of observable 'var' in this dataset.

virtual Int_t	numEntries () const
	Return number of entries in dataset, i.e., count unweighted entries.

RooAbsData &	operator= (const RooAbsData &other)

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

virtual RooPlot *	plotOn (RooPlot *frame, const RooLinkedList &cmdList) const
	Plot dataset on specified frame.

virtual void	Print (Option_t *options=0) const
	Print TNamed name and title.

virtual void	printClassName (std::ostream &os) const
	Print class name of dataset.

virtual void	printName (std::ostream &os) const
	Print name of dataset.

virtual void	printTitle (std::ostream &os) const
	Print title of dataset.

virtual void	RecursiveRemove (TObject *obj)
	If one of the TObject we have a referenced to is deleted, remove the reference.

RooAbsData *	reduce (const char *cut)
	Create a subset of the data set by applying the given cut on the data points.

RooAbsData *	reduce (const RooArgSet &varSubset, const char *cut=0)
	Create a subset of the data set by applying the given cut on the data points and reducing the dimensions to the specified set.

RooAbsData *	reduce (const RooArgSet &varSubset, const RooFormulaVar &cutVar)
	Create a subset of the data set by applying the given cut on the data points and reducing the dimensions to the specified set.

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.

RooAbsData *	reduce (const RooFormulaVar &cutVar)
	Create a subset of the data set by applying the given cut on the data points.

virtual void	reset ()

void	resetBuffers ()

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.

void	setDirtyProp (Bool_t flag)
	Control propagation of dirty flags from observables in dataset.

Double_t	sigma (const RooRealVar &var, const char cutSpec=0, const char cutRange=0) const

Double_t	skewness (const RooRealVar &var, const char cutSpec=0, const char cutRange=0) const

virtual TList *	split (const RooAbsCategory &splitCat, Bool_t createEmptyDataSets=kFALSE) const
	Split dataset into subsets based on states of given splitCat in this dataset.

Double_t	standMoment (const RooRealVar &var, Double_t order, const char cutSpec=0, const char cutRange=0) const
	Calculate standardized moment.

virtual RooPlot *	statOn (RooPlot frame, const char what, const char label="", Int_t sigDigits=2, Option_t options="NELU", Double_t xmin=0.15, Double_t xmax=0.65, Double_t ymax=0.85, const char cutSpec=0, const char cutRange=0, const RooCmdArg *formatCmd=0)
	Implementation back-end of statOn() method with named arguments.

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.

RooAbsDataStore *	store ()

const RooAbsDataStore *	store () const

virtual Roo1DTable *	table (const RooAbsCategory &cat, const char cuts="", const char opts="") const
	Create and fill a 1-dimensional table for given category column This functions is the equivalent of plotOn() for category dimensions.

virtual Roo1DTable *	table (const RooArgSet &catSet, const char cuts="", const char opts="") const
	Construct table for product of categories in catSet.

const TTree *	tree () const
	Return a pointer to the TTree which stores the data.

virtual Bool_t	valid () const

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TNamed &named)
	TNamed copy ctor.

	TNamed (const TString &name, const TString &title)

virtual	~TNamed ()
	TNamed destructor.

virtual void	Clear (Option_t *option="")
	Set name and title to empty strings ("").

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects.

virtual void	Copy (TObject &named) const
	Copy this to obj.

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer.

virtual const char *	GetName () const
	Returns name of object.

virtual const char *	GetTitle () const
	Returns title of object.

virtual ULong_t	Hash () const
	Return hash value for this object.

virtual Bool_t	IsSortable () const

virtual void	ls (Option_t *option="") const
	List TNamed name and title.

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator.

virtual void	SetTitle (const char *title="")
	Set the title of the TNamed.

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject.

Public Member Functions inherited from TObject
	TObject ()
	TObject constructor.

	TObject (const TObject &object)
	TObject copy ctor.

virtual	~TObject ()
	TObject destructor.

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract.

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad.

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action.

ULong_t	CheckedHash ()
	Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.

virtual const char *	ClassName () const
	Returns name of class to which the object belongs.

virtual void	Delete (Option_t *option="")
	Delete this object.

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object.

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs.

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current selected pad for instance with: `gROOT->SetSelectedPad(gPad)`.

virtual void	Dump () const
	Dump contents of object on stdout.

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message.

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g.

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray.

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py).

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message.

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes.

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes.

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object.

virtual const char *	GetIconName () const
	Returns mime type name of object.

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py).

virtual Option_t *	GetOption () const

virtual UInt_t	GetUniqueID () const
	Return the unique object id.

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out.

Bool_t	HasInconsistentHash () const
	Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message.

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname".

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl.

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas.

void	InvertBit (UInt_t f)

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory).

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).

R__ALWAYS_INLINE Bool_t	IsOnHeap () const

R__ALWAYS_INLINE Bool_t	IsZombie () const

void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary).

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification.

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete.

void	operator delete (void *ptr)
	Operator delete.

void	operator delete[] (void *ptr)
	Operator delete [].

void *	operator new (size_t sz)

void *	operator new (size_t sz, void *vp)

void *	operator new[] (size_t sz)

void *	operator new[] (size_t sz, void *vp)

TObject &	operator= (const TObject &rhs)
	TObject assignment operator.

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself.

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list.

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory.

void	ResetBit (UInt_t f)

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename.

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out".

void	SetBit (UInt_t f)

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f.

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object.

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id.

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message.

R__ALWAYS_INLINE Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message.

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory.

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory.

Public Member Functions inherited from RooPrintable
	RooPrintable ()

virtual	~RooPrintable ()

virtual StyleOption	defaultPrintStyle (Option_t *opt) const

virtual void	printAddress (std::ostream &os) const
	Print class name of object.

virtual void	printExtras (std::ostream &os) const
	Interface to print extras of object.

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, which is interpreted as an OR of 'enum ContentsOptions' values and in the style given by 'enum StyleOption'.

virtual void	printTree (std::ostream &os, TString indent="") const
	Interface for tree structure printing of object.

Public Member Functions inherited from RooDirItem
	RooDirItem ()

	RooDirItem (const RooDirItem &)

virtual	~RooDirItem ()

Static Public Member Functions
static void	cleanup ()

static RooDataSet *	read (const char filename, const RooArgList &variables, const char opts="", const char commonPath="", const char indexCatName=0)
	Read given list of ascii files, and construct a data set, using the given ArgList as structure definition.

Static Public Member Functions inherited from RooAbsData
static void	claimVars (RooAbsData *)

static StorageType	getDefaultStorageType ()

static Bool_t	releaseVars (RooAbsData *)
	If return value is true variables can be deleted.

static void	setDefaultStorageType (StorageType s)

Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag.

static Bool_t	GetObjectStat ()
	Get status of object stat flag.

static void	SetDtorOnly (void *obj)
	Set destructor only flag.

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable.

Static Public Member Functions inherited from RooPrintable
static std::ostream &	defaultPrintStream (std::ostream *os=0)
	Return a reference to the current default stream to use in Print().

static void	nameFieldLength (Int_t newLen)
	Set length of field reserved from printing name of RooAbsArgs in multi-line collection printing to given amount.

Protected Member Functions
	RooDataSet (const char name, const char title, RooDataSet ntuple, const RooArgSet &vars, const RooFormulaVar cutVar, const char cutRange, std::size_t nStart, std::size_t nStop, Bool_t copyCache, const char wgtVarName=0)
	Protected constructor for internal use only.

RooArgSet	addWgtVar (const RooArgSet &origVars, const RooAbsArg *wgtVar)
	Helper function for constructor that adds optional weight variable to construct total set of observables.

virtual RooAbsData *	cacheClone (const RooAbsArg newCacheOwner, const RooArgSet newCacheVars, const char *newName=0) override
	Return a clone of this dataset containing only the cached variables.

void	initialize (const char *wgtVarName)
	Initialize the dataset.

RooAbsData *	reduceEng (const RooArgSet &varSubset, const RooFormulaVar cutVar, const char cutRange=0, std::size_t nStart=0, std::size_t nStop=std::numeric_limits< std::size_t >::max(), Bool_t copyCache=kTRUE) override
	Implementation of RooAbsData virtual method that drives the RooAbsData::reduce() methods.

Protected Member Functions inherited from RooAbsData
Bool_t	allClientsCached (RooAbsArg *, const RooArgSet &)
	Utility function that determines if all clients of object 'var' appear in given list of cached nodes.

virtual void	attachCache (const RooAbsArg *newOwner, const RooArgSet &cachedVars)
	Internal method – Attach dataset copied with cache contents to copied instances of functions.

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.

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.

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.

RooRealVar *	dataRealVar (const char *methodname, const RooRealVar &extVar) const
	Internal method to check if given RooRealVar maps to a RooRealVar in this dataset.

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 *	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 number of data points with asymCat=+1 and asymCat=-1 as function of the frames variable.

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 data points with effCat=1 and effCat=0 as function of the frames variable.

virtual RooPlot *	plotOn (RooPlot *frame, PlotOpt o) const
	Create and fill a histogram of the frame's variable and append it to the frame.

virtual void	resetCache ()
	Internal method – Remove cached function values.

virtual void	setArgStatus (const RooArgSet &set, Bool_t active)

Protected Member Functions inherited from TObject
virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected).

void	MakeZombie ()

Protected Member Functions inherited from RooDirItem
void	appendToDir (TObject *obj, Bool_t forceMemoryResident=kFALSE)
	Append object to directory.

void	removeFromDir (TObject *obj)
	Remove object from directory it was added to.

Protected Attributes
RooArgSet	_varsNoWgt

RooRealVar *	_wgtVar

Protected Attributes inherited from RooAbsData
RooArgSet	_cachedVars

RooAbsDataStore *	_dstore
	External variables cached with this data set.

std::map< std::string, RooAbsData * >	_ownedComponents

RooArgSet	_vars

StorageType	storageType

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

Protected Attributes inherited from RooDirItem
TDirectory *	_dir {nullptr}

Private Types
typedef MemPoolForRooSets< RooDataSet, 5 *150 >	MemPool

Static Private Member Functions
static MemPool *	memPool ()

Private Attributes
bool	_doWeightErrorCheck {true}
	Counter to silence error messages when filling dataset.

unsigned short	_errorMsgCount {0}

Friends
class	RooProdGenContext

Additional Inherited Members
Public Types inherited from RooAbsData
enum	ErrorType { Poisson , SumW2 , None , Auto , Expected }

enum	StorageType { Tree , Vector , Composite }

Public Types inherited from TObject
enum	{ kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 , kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0) , kOverwrite = BIT(1) , kWriteDelete = BIT(2) }

enum	EDeprecatedStatusBits { kObjInCanvas = BIT(3) }

enum	EStatusBits { kCanDelete = BIT(0) , kMustCleanup = BIT(3) , kIsReferenced = BIT(4) , kHasUUID = BIT(5) , kCannotPick = BIT(6) , kNoContextMenu = BIT(8) , kInvalidObject = BIT(13) }

Public Types inherited from RooPrintable
enum	ContentsOption { kName =1 , kClassName =2 , kValue =4 , kArgs =8 , kExtras =16 , kAddress =32 , kTitle =64 , kCollectionHeader =128 }

enum	StyleOption { kInline =1 , kSingleLine =2 , kStandard =3 , kVerbose =4 , kTreeStructure =5 }

Protected Types inherited from TObject
enum	{ kOnlyPrepStep = BIT(3) }

Static Protected Attributes inherited from RooAbsData
static StorageType	defaultStorageType =RooAbsData::Vector

Static Protected Attributes inherited from RooPrintable
static Int_t	_nameLength

#include <RooDataSet.h>

Inheritance diagram for RooDataSet:

[legend]

Member Typedef Documentation

◆ MemPool

typedef MemPoolForRooSets<RooDataSet, 5*150> RooDataSet::MemPool

private

Definition at line 168 of file RooDataSet.h.

Constructor & Destructor Documentation

◆ RooDataSet() [1/9]

RooDataSet::RooDataSet ( )

Default constructor for persistence.

Definition at line 169 of file RooDataSet.cxx.

◆ RooDataSet() [2/9]

RooDataSet::RooDataSet	(	const char *	name,
		const char *	title,
		const RooArgSet &	vars,
		const char *	wgtVarName = `0`
	)

Constructor of an empty data set from a RooArgSet defining the dimensions of the data space.

Definition at line 620 of file RooDataSet.cxx.

◆ RooDataSet() [3/9]

RooDataSet::RooDataSet	(	const char *	name,
		const char *	title,
		const RooArgSet &	vars,
		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()`
	)

Construct an unbinned dataset from a RooArgSet defining the dimensions of the data space.

Optionally, data can be imported at the time of construction.

RooCmdArg	Effect
Import(TTree*)	Import contents of given TTree. Only braches of the TTree that have names corresponding to those of the RooAbsArgs that define the RooDataSet are imported.
ImportFromFile(const char* fileName, const char* treeName)	Import tree with given name from file with given name.
Import(RooDataSet&)	Import contents of given RooDataSet. Only observables that are common with the definition of this dataset will be imported
Index(RooCategory&)	Prepare import of datasets into a N+1 dimensional RooDataSet where the extra discrete dimension labels the source of the imported histogram.
Import(const char*, RooDataSet&)	Import a dataset to be associated with the given state name of the index category specified in Index(). If the given state name is not yet defined in the index category it will be added on the fly. The import command can be specified multiple times.
Link(const char*, RooDataSet&)	Link contents of supplied RooDataSet to this dataset for given index category state name. In this mode, no data is copied and the linked dataset must be remain live for the duration of this dataset. Note that link is active for both reading and writing, so modifications to the aggregate dataset will also modify its components. Link() and Import() are mutually exclusive.
OwnLinked()	Take ownership of all linked datasets
Import(map<string,RooDataSet*>&)	As above, but allows specification of many imports in a single operation
Link(map<string,RooDataSet*>&)	As above, but allows specification of many links in a single operation
Cut(const char*) Cut(RooFormulaVar&)	Apply the given cut specification when importing data
CutRange(const char*)	Only accept events in the observable range with the given name
WeightVar(const char*) WeightVar(const RooAbsArg&)	Interpret the given variable as event weight rather than as observable
StoreError(const RooArgSet&)	Store symmetric error along with value for given subset of observables
StoreAsymError(const RooArgSet&)	Store asymmetric error along with value for given subset of observables

Definition at line 215 of file RooDataSet.cxx.

◆ RooDataSet() [4/9]

RooDataSet::RooDataSet	(	const char *	name,
		const char *	title,
		RooDataSet *	dset,
		const RooArgSet &	vars,
		const char *	cuts = `0`,
		const char *	wgtVarName = `0`
	)

Constructor of a data set from (part of) an existing data set.

The dimensions of the data set are defined by the 'vars' RooArgSet, which can be identical to 'dset' dimensions, or a subset thereof. The 'cuts' string is an optional RooFormula expression and can be used to select the subset of the data points in 'dset' to be copied. The cut expression can refer to any variable in the source dataset. For cuts involving variables other than those contained in the source data set, such as intermediate formula objects, use the equivalent constructor accepting RooFormulaVar reference as cut specification.

This constructor will internally store the data in a TTree.

For most uses the RooAbsData::reduce() wrapper function, which uses this constructor, is the most convenient way to create a subset of an existing data

Definition at line 652 of file RooDataSet.cxx.

◆ RooDataSet() [5/9]

RooDataSet::RooDataSet	(	const char *	name,
		const char *	title,
		RooDataSet *	dset,
		const RooArgSet &	vars,
		const RooFormulaVar &	cutVar,
		const char *	wgtVarName = `0`
	)

Constructor of a data set from (part of) an existing data set.

The dimensions of the data set are defined by the 'vars' RooArgSet, which can be identical to 'dset' dimensions, or a subset thereof. The 'cutVar' formula variable is used to select the subset of data points to be copied. For subsets without selection on the data points, or involving cuts operating exclusively and directly on the data set dimensions, the equivalent constructor with a string based cut expression is recommended.

This constructor will internally store the data in a TTree.

For most uses the RooAbsData::reduce() wrapper function, which uses this constructor, is the most convenient way to create a subset of an existing data

Definition at line 693 of file RooDataSet.cxx.

◆ RooDataSet() [6/9]

RooDataSet::RooDataSet	(	const char *	name,
		const char *	title,
		TTree *	theTree,
		const RooArgSet &	vars,
		const char *	cuts = `0`,
		const char *	wgtVarName = `0`
	)

Constructor of a data set from (part of) a ROOT TTree.

Parameters

[in]	name	Name of this dataset.
[in]	title	Title for e.g. plotting.
[in]	theTree	Tree to be imported.
[in]	vars	Defines the columns of the data set. For each dimension specified, the TTree must have a branch with the same name. For category branches, this branch should contain the numeric index value. Real dimensions can be constructed from either 'Double_t' or 'Float_t' tree branches. In the latter case, an automatic conversion is applied.
[in]	cuts	Optional RooFormula expression to select the subset of the data points to be imported. The cut expression can refer to any variable in `vars`.

Warning: The expression only evaluates variables that are also in vars. Passing e.g.
RooDataSet("data", "data", tree, RooArgSet(x), "x>y")

RooArgSet
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition RooArgSet.h:29

RooDataSet::RooDataSet
RooDataSet()
Default constructor for persistence.
Definition RooDataSet.cxx:169

x
Double_t x[n]
Definition legend1.C:17

tree
Definition tree.py:1

Will load x from the tree, but leave y at an undefined value. If other expressions are needed, such as intermediate formula objects, use RooDataSet::RooDataSet(const char*,const char*,TTree*,const RooArgSet&,const RooFormulaVar&,const char*)

Parameters

[in] wgtVarName Name of the variable in vars that represents an event weight.

Definition at line 781 of file RooDataSet.cxx.

◆ RooDataSet() [7/9]

RooDataSet::RooDataSet	(	const char *	name,
		const char *	title,
		TTree *	theTree,
		const RooArgSet &	vars,
		const RooFormulaVar &	cutVar,
		const char *	wgtVarName = `0`
	)

Constructor of a data set from (part of) an ROOT TTRee.

The dimensions of the data set are defined by the 'vars' RooArgSet. For each dimension specified, the TTree must have a branch with the same name. For category branches, this branch should contain the numeric index value. Real dimensions can be constructed from either 'Double_t' or 'Float_t' tree branches. In the latter case, an automatic conversion is applied.

The 'cutVar' formula variable is used to select the subset of data points to be copied. For subsets without selection on the data points, or involving cuts operating exclusively and directly on the data set dimensions, the equivalent constructor with a string based cut expression is recommended.

Definition at line 733 of file RooDataSet.cxx.

◆ RooDataSet() [8/9]

RooDataSet::RooDataSet	(	RooDataSet const &	other,
		const char *	newname = `0`
	)

Copy constructor.

Definition at line 811 of file RooDataSet.cxx.

◆ ~RooDataSet()

RooDataSet::~RooDataSet ( )

virtual

Destructor.

Definition at line 959 of file RooDataSet.cxx.

◆ RooDataSet() [9/9]

RooDataSet::RooDataSet	(	const char *	name,
		const char *	title,
		RooDataSet *	ntuple,
		const RooArgSet &	vars,
		const RooFormulaVar *	cutVar,
		const char *	cutRange,
		std::size_t	nStart,
		std::size_t	nStop,
		Bool_t	copyCache,
		const char *	wgtVarName = `0`
	)

protected

Protected constructor for internal use only.

Definition at line 822 of file RooDataSet.cxx.

Member Function Documentation

◆ add() [1/2]

void RooDataSet::add	(	const RooArgSet &	indata,
		Double_t	inweight,
		Double_t	weightErrorLo,
		Double_t	weightErrorHi
	)

virtual

Add a data point, with its coordinates specified in the 'data' argset, to the data set.

Any variables present in 'data' but not in the dataset will be silently ignored.

Parameters

[in]	indata	Data point.
[in]	inweight	Event weight. The current value of the weight variable is ignored.

Note: To obtain weighted events, a variable must be designated WeightVar in the constructor.

Parameters

[in]	weightErrorLo	Asymmetric weight error.
[in]	weightErrorHi	Asymmetric weight error.

Note: This requires including the weight variable in the set of StoreAsymError variables when constructing the dataset.

Definition at line 1229 of file RooDataSet.cxx.

◆ add() [2/2]

void RooDataSet::add	(	const RooArgSet &	data,
		Double_t	wgt = `1.0`,
		Double_t	wgtError = `0`
	)

overridevirtual

Add a data point, with its coordinates specified in the 'data' argset, to the data set.

Any variables present in 'data' but not in the dataset will be silently ignored.

Parameters

[in]	data	Data point.
[in]	wgt	Event weight. Defaults to 1. The current value of the weight variable is ignored.

Note: To obtain weighted events, a variable must be designated WeightVar in the constructor.

Parameters

[in] wgtError Optional weight error.

Note: This requires including the weight variable in the set of StoreError variables when constructing the dataset.

Implements RooAbsData.

Definition at line 1177 of file RooDataSet.cxx.

◆ addColumn()

RooAbsArg * RooDataSet::addColumn	(	RooAbsArg &	var,
		Bool_t	adjustRange = `kTRUE`
	)

virtual

Add a column with the values of the given (function) argument to this dataset.

The function value is calculated for each event using the observable values of each event in case the function depends on variables with names that are identical to the observable names in the dataset

Definition at line 1396 of file RooDataSet.cxx.

◆ addColumns()

RooArgSet * RooDataSet::addColumns ( const RooArgList & varList )

virtual

Add a column with the values of the given list of (function) argument to this dataset.

Each function value is calculated for each event using the observable values of the event in case the function depends on variables with names that are identical to the observable names in the dataset

Definition at line 1413 of file RooDataSet.cxx.

◆ addFast()

void RooDataSet::addFast	(	const RooArgSet &	data,
		Double_t	wgt = `1.0`,
		Double_t	wgtError = `0`
	)

virtual

Add a data point, with its coordinates specified in the 'data' argset, to the data set.

Attention: The order and type of the input variables are assumed to be the same as for the RooArgSet returned by RooDataSet::get(). Input values will just be written into the internal data columns by ordinal position.

Parameters

[in]	data	Data point.
[in]	wgt	Event weight. Defaults to 1. The current value of the weight variable is ignored.

Note: To obtain weighted events, a variable must be designated WeightVar in the constructor.

Parameters

[in] wgtError Optional weight error.

Note: This requires including the weight variable in the set of StoreError variables when constructing the dataset.

Definition at line 1279 of file RooDataSet.cxx.

◆ addWgtVar()

RooArgSet RooDataSet::addWgtVar	(	const RooArgSet &	origVars,
		const RooAbsArg *	wgtVar
	)

protected

Helper function for constructor that adds optional weight variable to construct total set of observables.

Definition at line 847 of file RooDataSet.cxx.

◆ append()

void RooDataSet::append ( RooDataSet & data )

Add all data points of given data set to this data set.

Observable in 'data' that are not in this dataset with not be transferred

Definition at line 1381 of file RooDataSet.cxx.

◆ binnedClone()

RooDataHist * RooDataSet::binnedClone	(	const char *	newName = `0`,
		const char *	newTitle = `0`
	)		const

Return binned clone of this dataset.

Definition at line 970 of file RooDataSet.cxx.

◆ cacheClone()

RooAbsData * RooDataSet::cacheClone	(	const RooAbsArg *	newCacheOwner,
		const RooArgSet *	newCacheVars,
		const char *	newName = `0`
	)

overrideprotectedvirtual

Return a clone of this dataset containing only the cached variables.

Implements RooAbsData.

Definition at line 859 of file RooDataSet.cxx.

◆ cleanup()

void RooDataSet::cleanup ( )

static

Definition at line 110 of file RooDataSet.cxx.

◆ Clone()

virtual TObject * RooDataSet::Clone ( const char * newname = "" ) const

inlineoverridevirtual

Make a clone of an object using the Streamer facility.

If newname is specified, this will be the name of the new object.

Reimplemented from TNamed.

Definition at line 68 of file RooDataSet.h.

◆ convertToTreeStore()

void RooDataSet::convertToTreeStore ( )

overridevirtual

Convert vector-based storage to tree-based storage.

This implementation overrides the base class implementation because the latter doesn't transfer weights.

Reimplemented from RooAbsData.

Definition at line 2077 of file RooDataSet.cxx.

◆ createHistogram() [1/5]

TH1 * RooAbsData::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) const.

Definition at line 180 of file RooAbsData.cxx.

◆ createHistogram() [2/5]

TH1 * RooAbsData::createHistogram	(	const char *	name,
		const RooAbsRealLValue &	xvar,
		const RooLinkedList &	argListIn
	)		const

Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset.

This function accepts the following arguments.

Parameters

[in]	name	Name of the ROOT histogram
[in]	xvar	Observable to be mapped on x axis of ROOT histogram

Returns: Histogram now owned by user.

`AutoBinning(Int_t nbins, Double_y margin)`	Automatically calculate range with given added fractional margin, set binning to nbins
`AutoSymBinning(Int_t nbins, Double_y margin)`	Automatically calculate range with given added fractional margin, with additional constraint that mean of data is in center of range, set binning to nbins
`Binning(const char* name)`	Apply binning with given name to x axis of histogram
`Binning(RooAbsBinning& binning)`	Apply specified binning to x axis of histogram
`Binning(int nbins, double lo, double hi)`	Apply specified binning to x axis of histogram
`YVar(const RooAbsRealLValue& var,...)`	Observable to be mapped on y axis of ROOT histogram
`ZVar(const RooAbsRealLValue& var,...)`	Observable to be mapped on z axis of ROOT histogram

The YVar() and ZVar() arguments can be supplied with optional Binning() Auto(Sym)Range() arguments to control the binning of the Y and Z axes, e.g.

createHistogram("histo",x,Binning(-1,1,20), YVar(y,Binning(-1,1,30)), ZVar(z,Binning("zbinning")))

RooDataSet::createHistogram

TH2F * createHistogram(const RooAbsRealLValue &var1, const RooAbsRealLValue &var2, const char *cuts="", const char *name="hist") const

Create a TH2F histogram of the distribution of the specified variable using this dataset.

Definition RooDataSet.cxx:1432

y

Double_t y[n]

Definition legend1.C:17

The caller takes ownership of the returned histogram

Definition at line 186 of file RooAbsData.cxx.

◆ createHistogram() [3/5]

TH1 * RooAbsData::createHistogram	(	const char *	varNameList,
		Int_t	xbins = `0`,
		Int_t	ybins = `0`,
		Int_t	zbins = `0`
	)		const

Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset for the variables with given names The range of each observable that is histogrammed is always automatically calculated from the distribution in the dataset.

The number of bins can be controlled using the [xyz]bins parameters. For a greater degree of control use the createHistogram() method below with named arguments

The caller takes ownership of the returned histogram

Definition at line 187 of file RooAbsData.cxx.

◆ createHistogram() [4/5]

TH2F * RooDataSet::createHistogram	(	const RooAbsRealLValue &	var1,
		const RooAbsRealLValue &	var2,
		const char *	cuts = `""`,
		const char *	name = `"hist"`
	)		const

Create a TH2F histogram of the distribution of the specified variable using this dataset.

Apply any cuts to select which events are used. The variable being plotted can either be contained directly in this dataset, or else be a function of the variables in this dataset. The histogram will be created using RooAbsReal::createHistogram() with the name provided (with our dataset name prepended).

Definition at line 1432 of file RooDataSet.cxx.

◆ createHistogram() [5/5]

TH2F * RooDataSet::createHistogram	(	const RooAbsRealLValue &	var1,
		const RooAbsRealLValue &	var2,
		Int_t	nx,
		Int_t	ny,
		const char *	cuts = `""`,
		const char *	name = `"hist"`
	)		const

Create a TH2F histogram of the distribution of the specified variable using this dataset.

Apply any cuts to select which events are used. The variable being plotted can either be contained directly in this dataset, or else be a function of the variables in this dataset. The histogram will be created using RooAbsReal::createHistogram() with the name provided (with our dataset name prepended).

Definition at line 1448 of file RooDataSet.cxx.

◆ emptyClone()

RooAbsData * RooDataSet::emptyClone	(	const char *	newName = `0`,
		const char *	newTitle = `0`,
		const RooArgSet *	vars = `0`,
		const char *	wgtVarName = `0`
	)		const

overridevirtual

Return an empty clone of this dataset.

If vars is not null, only the variables in vars are added to the definition of the empty clone

Implements RooAbsData.

Definition at line 877 of file RooDataSet.cxx.

◆ get() [1/2]

const RooArgSet * RooDataSet::get ( ) const

overridevirtual

Return a RooArgSet with the coordinates of the current event.

Reimplemented from RooAbsData.

Definition at line 1159 of file RooDataSet.cxx.

◆ get() [2/2]

const RooArgSet * RooDataSet::get ( Int_t index ) const

overridevirtual

Return RooArgSet with coordinates of event 'index'.

Reimplemented from RooAbsData.

Definition at line 1051 of file RooDataSet.cxx.

◆ getBatches()

void RooDataSet::getBatches	(	RooBatchCompute::RunContext &	evalData,
		std::size_t	begin = `0`,
		std::size_t	len = `std::numeric_limits<std::size_t>::max()`
	)		const

overridevirtual

Write information to retrieve data columns into evalData.spans.

All spans belonging to variables of this dataset are overwritten. Spans to other variables remain intact.

Parameters

[out]	evalData	Store references to all data batches in this struct's `spans`. The key to retrieve an item is the pointer of the variable that owns the data.
	first	Index of first event that ends up in the batch.
	len	Number of events in each batch.

Implements RooAbsData.

Definition at line 1023 of file RooDataSet.cxx.

◆ getWeightBatch()

RooSpan< const double > RooDataSet::getWeightBatch	(	std::size_t	first,
		std::size_t	len
	)		const

overridevirtual

See also: RooAbsData::getWeightBatch().

Implements RooAbsData.

Definition at line 1010 of file RooDataSet.cxx.

◆ initialize()

void RooDataSet::initialize ( const char * wgtVarName )

protected

Initialize the dataset.

If wgtVarName is not null, interpret the observable with that name as event weight

Definition at line 906 of file RooDataSet.cxx.

◆ isNonPoissonWeighted()

Bool_t RooDataSet::isNonPoissonWeighted ( ) const

overridevirtual

Returns true if histogram contains bins with entries with a non-integer weight.

Reimplemented from RooAbsData.

Definition at line 1137 of file RooDataSet.cxx.

◆ isWeighted()

Bool_t RooDataSet::isWeighted ( ) const

overridevirtual

Return true if dataset contains weighted events.

Reimplemented from RooAbsData.

Definition at line 1127 of file RooDataSet.cxx.

◆ memPool()

static MemPool * RooDataSet::memPool ( )

staticprivate

◆ merge() [1/2]

Bool_t RooDataSet::merge	(	RooDataSet *	data1,
		RooDataSet *	data2 = `0`,
		RooDataSet *	data3 = `0`,
		RooDataSet *	data4 = `0`,
		RooDataSet *	data5 = `0`,
		RooDataSet *	data6 = `0`
	)

Definition at line 1321 of file RooDataSet.cxx.

◆ merge() [2/2]

Bool_t RooDataSet::merge ( std::list< RooDataSet * > dsetList )

Merge columns of supplied data set(s) with this data set.

All data sets must have equal number of entries. In case of duplicate columns the column of the last dataset in the list prevails

Definition at line 1343 of file RooDataSet.cxx.

◆ operator delete()

void RooDataSet::operator delete ( void * ptr )

◆ operator new()

void * RooDataSet::operator new ( size_t bytes )

◆ plotOnXY()

RooPlot * RooDataSet::plotOnXY	(	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

virtual

Special plot method for 'X-Y' datasets used in \( \chi^2 \) fitting.

For general plotting, see RooAbsData::plotOn().

These datasets have one observable (X) and have weights (Y) and associated errors.

Contents options	Effect
YVar(RooRealVar& var)	Designate specified observable as 'y' variable If not specified, the event weight will be the y variable
Histogram drawing options	Effect
DrawOption(const char* opt)	Select ROOT draw option for resulting TGraph object
LineStyle(Int_t style)	Select line style by ROOT line style code, default is solid
LineColor(Int_t color)	Select line color by ROOT color code, default is black
LineWidth(Int_t width)	Select line with in pixels, default is 3
MarkerStyle(Int_t style)	Select the ROOT marker style, default is 21
MarkerColor(Int_t color)	Select the ROOT marker color, default is black
MarkerSize(Double_t size)	Select the ROOT marker size
Rescale(Double_t factor)	Apply global rescaling factor to histogram
Misc. other options	Effect
Name(const chat* name)	Give curve specified name in frame. Useful if curve is to be referenced later
Invisible(Bool_t flag)	Add curve to frame, but do not display. Useful in combination AddTo()

Definition at line 1561 of file RooDataSet.cxx.

◆ printArgs()

void RooDataSet::printArgs ( std::ostream & os ) const

overridevirtual

Print argument of dataset, i.e. the observable names.

Reimplemented from RooPrintable.

Definition at line 1975 of file RooDataSet.cxx.

◆ printMultiline()

void RooDataSet::printMultiline	(	std::ostream &	os,
		Int_t	contents,
		Bool_t	verbose = `kFALSE`,
		TString	indent = `""`
	)		const

overridevirtual

Print info about this dataset to the specified output stream.

Standard: number of entries Shape: list of variables we define & were generated with

Reimplemented from RooAbsData.

Definition at line 1949 of file RooDataSet.cxx.

◆ printValue()

void RooDataSet::printValue ( std::ostream & os ) const

overridevirtual

Print value of the dataset, i.e. the sum of weights contained in the dataset.

Reimplemented from RooPrintable.

Definition at line 1962 of file RooDataSet.cxx.

◆ read()

RooDataSet * RooDataSet::read	(	const char *	fileList,
		const RooArgList &	varList,
		const char *	verbOpt = `""`,
		const char *	commonPath = `""`,
		const char *	indexCatName = `0`
	)

static

Read given list of ascii files, and construct a data set, using the given ArgList as structure definition.

Parameters

fileList	Multiple file names, comma separated. Each file is optionally prefixed with 'commonPath' if such a path is provided
varList	Specify the dimensions of the dataset to be built. This list describes the order in which these dimensions appear in the ascii files to be read. Each line in the ascii file should contain N white-space separated tokens, with N the number of args in `varList`. Any text beyond N tokens will be ignored with a warning message. (NB: This is the default output of RooArgList::writeToStream())
verbOpt	`Q` be quiet, `D` debug mode (verbose)
commonPath	All filenames in `fileList` will be prefixed with this optional path.
indexCatName	Interpret the data as belonging to category `indexCatName`. When multiple files are read, a RooCategory arg in `varList` can optionally be designated to hold information about the source file of each data point. This feature is enabled by giving the name of the (already existing) category variable in `indexCatName`.

Attention: If the value of any of the variables on a given line exceeds the fit range associated with that dimension, the entire line will be ignored. A warning message is printed in each case, unless the Q verbose option is given. The number of events read and skipped is always summarized at the end.

If no further information is given a label name 'fileNNN' will be assigned to each event, where NNN is the sequential number of the source file in fileList.

Alternatively, it is possible to override the default label names of the index category by specifying them in the fileList string: When instead of file1.txt,file2.txt the string file1.txt:FOO,file2.txt:BAR is specified, a state named "FOO" is assigned to the index category for each event originating from file1.txt. The labels FOO,BAR may be predefined in the index category via defineType(), but don't have to be.

Finally, one can also assign the same label to multiple files, either by specifying file1.txt:FOO,file2,txt:FOO,file3.txt:BAR or file1.txt,file2.txt:FOO,file3.txt:BAR.

Definition at line 1723 of file RooDataSet.cxx.

◆ reduceEng()

RooAbsData * RooDataSet::reduceEng	(	const RooArgSet &	varSubset,
		const RooFormulaVar *	cutVar,
		const char *	cutRange = `0`,
		std::size_t	nStart = `0`,
		std::size_t	nStop = `std::numeric_limits<std::size_t>::max()`,
		Bool_t	copyCache = `kTRUE`
	)

overrideprotectedvirtual

Implementation of RooAbsData virtual method that drives the RooAbsData::reduce() methods.

Implements RooAbsData.

Definition at line 933 of file RooDataSet.cxx.

◆ SetName()

void RooDataSet::SetName ( const char * name )

overridevirtual

Change the name of this dataset into the given name.

Reimplemented from TNamed.

Definition at line 2001 of file RooDataSet.cxx.

◆ SetNameTitle()

void RooDataSet::SetNameTitle	(	const char *	name,
		const char *	title
	)

overridevirtual

Change the title of this dataset into the given name.

Reimplemented from TNamed.

Definition at line 2012 of file RooDataSet.cxx.

◆ sumEntries() [1/2]

Double_t RooDataSet::sumEntries ( ) const

overridevirtual

Return effective number of entries in dataset, i.e., sum all weights.

Implements RooAbsData.

Definition at line 1060 of file RooDataSet.cxx.

◆ sumEntries() [2/2]

Double_t RooDataSet::sumEntries	(	const char *	cutSpec,
		const char *	cutRange = `0`
	)		const

overridevirtual

Return the sum of weights in all entries matching cutSpec (if specified) and in named range cutRange (if specified)

Implements RooAbsData.

Definition at line 1090 of file RooDataSet.cxx.

◆ weight()

Double_t RooDataSet::weight ( ) const

overridevirtual

Return event weight of current event.

Implements RooAbsData.

Definition at line 992 of file RooDataSet.cxx.

◆ weightError() [1/2]

void RooDataSet::weightError	(	Double_t &	lo,
		Double_t &	hi,
		ErrorType	etype = `SumW2`
	)		const

overridevirtual

Return asymmetric error on weight. (Dummy implementation returning zero)

Reimplemented from RooAbsData.

Definition at line 1032 of file RooDataSet.cxx.

◆ weightError() [2/2]

Double_t RooDataSet::weightError ( ErrorType etype = SumW2 ) const

overridevirtual

Return error on current weight (dummy implementation returning zero)

Reimplemented from RooAbsData.

Definition at line 1041 of file RooDataSet.cxx.

◆ weightSquared()

Double_t RooDataSet::weightSquared ( ) const

overridevirtual

Return squared event weight of current event.

Implements RooAbsData.

Definition at line 1002 of file RooDataSet.cxx.

◆ write() [1/2]

Bool_t RooDataSet::write ( const char * filename ) const

Write the contents of this dataset to an ASCII file with the specified name.

Each event will be written as a single line containing the written values of each observable in the order they were declared in the dataset and separated by whitespaces

Definition at line 1908 of file RooDataSet.cxx.

◆ write() [2/2]

Bool_t RooDataSet::write ( std::ostream & ofs ) const

Write the contents of this dataset to the stream.

Each event will be written as a single line containing the written values of each observable in the order they were declared in the dataset and separated by whitespaces

Definition at line 1928 of file RooDataSet.cxx.

Friends And Related Symbol Documentation

◆ RooProdGenContext

friend class RooProdGenContext

friend

Definition at line 151 of file RooDataSet.h.

Member Data Documentation

◆ _doWeightErrorCheck

bool RooDataSet::_doWeightErrorCheck {true}

private

Counter to silence error messages when filling dataset.

Definition at line 172 of file RooDataSet.h.

◆ _errorMsgCount

unsigned short RooDataSet::_errorMsgCount {0}

private

Definition at line 171 of file RooDataSet.h.

◆ _varsNoWgt

RooArgSet RooDataSet::_varsNoWgt

protected

Definition at line 163 of file RooDataSet.h.

◆ _wgtVar

RooRealVar* RooDataSet::_wgtVar

protected

Definition at line 164 of file RooDataSet.h.

Libraries for RooDataSet:

[legend]

The documentation for this class was generated from the following files:

roofit/roofitcore/inc/RooDataSet.h
roofit/roofitcore/src/RooDataSet.cxx

Inspecting a dataset

Plotting data.

Storage strategy

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Private Types

Static Private Member Functions

Private Attributes

Friends

Additional Inherited Members

Member Typedef Documentation

◆ MemPool

Constructor & Destructor Documentation

◆ RooDataSet() [1/9]

◆ RooDataSet() [2/9]

◆ RooDataSet() [3/9]

◆ RooDataSet() [4/9]

◆ RooDataSet() [5/9]

◆ RooDataSet() [6/9]

◆ RooDataSet() [7/9]

◆ RooDataSet() [8/9]

◆ ~RooDataSet()

◆ RooDataSet() [9/9]

Member Function Documentation

◆ add() [1/2]

◆ add() [2/2]

◆ addColumn()

◆ addColumns()

◆ addFast()

◆ addWgtVar()

◆ append()

◆ binnedClone()

◆ cacheClone()

◆ cleanup()

◆ Clone()

◆ convertToTreeStore()

◆ createHistogram() [1/5]

◆ createHistogram() [2/5]

◆ createHistogram() [3/5]

◆ createHistogram() [4/5]

◆ createHistogram() [5/5]

◆ emptyClone()

◆ get() [1/2]

◆ get() [2/2]

◆ getBatches()

◆ getWeightBatch()

◆ initialize()

◆ isNonPoissonWeighted()

◆ isWeighted()

◆ memPool()

◆ merge() [1/2]

◆ merge() [2/2]

◆ operator delete()

◆ operator new()

◆ plotOnXY()

◆ printArgs()

◆ printMultiline()

◆ printValue()

◆ read()

◆ reduceEng()

◆ SetName()

◆ SetNameTitle()

◆ sumEntries() [1/2]

◆ sumEntries() [2/2]

◆ weight()

◆ weightError() [1/2]

◆ weightError() [2/2]

◆ weightSquared()

◆ write() [1/2]

◆ write() [2/2]

Friends And Related Symbol Documentation

◆ RooProdGenContext

Member Data Documentation

◆ _doWeightErrorCheck

◆ _errorMsgCount

◆ _varsNoWgt

◆ _wgtVar