library: libRooFit #include "RooDataSet.h" |
RooDataSet
class description - source file - inheritance tree (.pdf)
protected:
RooDataSet(const char* name, const char* title, RooDataSet* ntuple, const RooArgSet& vars, const RooFormulaVar* cutVar, const char* cutRange, int nStart, int nStop, Bool_t copyCache)
RooArgSet addWgtVar(const RooArgSet& origVars, const RooAbsArg* wgtVar)
virtual RooAbsData* cacheClone(const RooArgSet* newCacheVars, const char* newName = "0")
void initialize(const char* wgtVarName)
Bool_t merge(const TList& data)
virtual RooAbsData* reduceEng(const RooArgSet& varSubset, const RooFormulaVar* cutVar, const char* cutRange = "0", Int_t nStart = 0, Int_t nStop = 2000000000, Bool_t copyCache = kTRUE)
public:
RooDataSet()
RooDataSet(const char* name, const char* title, const RooArgSet& vars, const char* wgtVarName = "0")
RooDataSet(const char* name, const char* title, RooDataSet* ntuple, const RooArgSet& vars, const char* cuts = "0", const char* wgtVarName = "0")
RooDataSet(const char* name, const char* title, RooDataSet* t, const RooArgSet& vars, const RooFormulaVar& cutVar, const char* wgtVarName = "0")
RooDataSet(const char* name, const char* title, TTree* t, const RooArgSet& vars, const RooFormulaVar& cutVar, const char* wgtVarName = "0")
RooDataSet(const char* name, const char* title, TTree* ntuple, const RooArgSet& vars, const char* cuts = "0", const char* wgtVarName = "0")
RooDataSet(const char* name, const char* filename, const char* treename, const RooArgSet& vars, const char* cuts = "0", const char* wgtVarName = "0")
RooDataSet(RooDataSet const& other, const char* newname = "0")
virtual ~RooDataSet()
virtual void add(const RooArgSet& row, Double_t weight = 1.0)
virtual RooAbsArg* addColumn(RooAbsArg& var)
virtual RooArgSet* addColumns(const RooArgList& varList)
void append(RooTreeData& data)
RooDataHist* binnedClone(const char* newName = "0", const char* newTitle = "0") const
static TClass* Class()
virtual TObject* Clone(const char* newname = "0") const
TH2F* createHistogram(const RooAbsRealLValue& var1, const RooAbsRealLValue& var2, const char* cuts = "", const char* name = "hist") const
TH2F* createHistogram(const RooAbsRealLValue& var1, const RooAbsRealLValue& var2, Int_t nx, Int_t ny, const char* cuts = "", const char* name = "hist") const
virtual RooAbsData* emptyClone(const char* newName = "0", const char* newTitle = "0") const
virtual const RooArgSet* get(Int_t index) const
virtual const RooArgSet* get() const
virtual TClass* IsA() const
virtual Bool_t isWeighted() const
Bool_t merge(RooDataSet* data1, RooDataSet* data2 = 0, RooDataSet* data3 = 0, RooDataSet* data4 = 0, RooDataSet* data5 = 0, RooDataSet* data6 = 0)
virtual Int_t numEntries(Bool_t useWeights = kFALSE) const
RooDataSet& operator=(const RooDataSet&)
virtual void printToStream(ostream& os, RooPrintable::PrintOption opt, TString indent) const
static RooDataSet* read(const char* filename, const RooArgList& variables, const char* opts = "", const char* commonPath = "", const char* indexCatName = "0")
void setWeightVar(const char* name = "0")
void setWeightVar(const RooAbsArg& arg)
virtual void ShowMembers(TMemberInspector& insp, char* parent)
virtual void Streamer(TBuffer& b)
void StreamerNVirtual(TBuffer& b)
virtual Double_t sumEntries(const char* cutSpec = "0", const char* cutRange = "0") const
virtual Double_t weight() const
Bool_t write(const char* filename)
protected:
RooArgSet _varsNoWgt Vars without weight variable
RooRealVar* _wgtVar
RooDataSet()
RooDataSet(const char *name, const char *title, const RooArgSet& vars, const char* wgtVarName) :
RooTreeData(name,title,vars)
Constructor of an empty data set from a RooArgSet defining the dimensions
of the data space.
RooDataSet(const char *name, const char *title, RooDataSet *dset,
const RooArgSet& vars, const char *cuts, const char* wgtVarName) :
RooTreeData(name,title,dset,vars,cuts)
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
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
RooDataSet(const char *name, const char *title, RooDataSet *t,
const RooArgSet& vars, const RooFormulaVar& cutVar, const char* wgtVarName) :
RooTreeData(name,title,t,vars,cutVar)
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.
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
RooDataSet(const char *name, const char *title, TTree *t,
const RooArgSet& vars, const RooFormulaVar& cutVar, const char* wgtVarName) :
RooTreeData(name,title,t,vars,cutVar)
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.
RooDataSet(const char *name, const char *title, TTree *ntuple,
const RooArgSet& vars, const char *cuts, const char* wgtVarName) :
RooTreeData(name,title,ntuple,vars,cuts)
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 '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
vars argset. For cuts involving variables other than those contained in
the vars argset, such as intermediate formula objects, use the
equivalent constructor accepting RooFormulaVar reference as cut specification
RooDataSet(const char *name, const char *filename, const char *treename,
const RooArgSet& vars, const char *cuts, const char* wgtVarName) :
RooTreeData(name,filename,treename,vars,cuts)
Constructor of a data set from (part of) a named ROOT TTRee in given ROOT file.
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 '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
vars argset. For cuts involving variables other than those contained in
the vars argset, such as intermediate formula objects, use the
equivalent constructor accepting RooFormulaVar reference as cut specification
RooDataSet(RooDataSet const & other, const char* newname) :
RooTreeData(other,newname), RooDirItem()
Copy constructor
RooArgSet addWgtVar(const RooArgSet& origVars, const RooAbsArg* wgtVar)
Helper function for constructor below
RooDataSet(const char *name, const char *title, RooDataSet *ntuple,
const RooArgSet& vars, const RooFormulaVar* cutVar, const char* cutRange,
Int_t nStart, Int_t nStop, Bool_t copyCache) :
RooTreeData(name,title,ntuple,addWgtVar(vars,ntuple->_wgtVar),cutVar,cutRange,nStart,nStop,copyCache)
Protected constructor for internal use only
RooAbsData* cacheClone(const RooArgSet* newCacheVars, const char* newName)
RooAbsData* emptyClone(const char* newName, const char* newTitle) const
void initialize(const char* wgtVarName)
RooAbsData* reduceEng(const RooArgSet& varSubset, const RooFormulaVar* cutVar, const char* cutRange,
Int_t nStart, Int_t nStop, Bool_t copyCache)
Implementation of RooAbsData virtual method that drives the RooAbsData::reduce() methods
~RooDataSet()
RooDataHist* binnedClone(const char* newName, const char* newTitle) const
void setWeightVar(const char* name)
Double_t weight() const
const RooArgSet* get(Int_t index) const
Int_t numEntries(Bool_t useWeights) const
Return number of entries if no weights are requested or available
Double_t sumEntries(const char* cutSpec, const char* cutRange) const
Setup RooFormulaVar for cutSpec if it is present
const RooArgSet* get() const
void add(const RooArgSet& data, Double_t weight)
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
Bool_t merge(RooDataSet* data1, RooDataSet* data2, RooDataSet* data3,
RooDataSet* data4, RooDataSet* data5, RooDataSet* data6)
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
Bool_t merge(const TList& 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
void append(RooTreeData& data)
Add all data points of given data set to this data set.
Eventual extra dimensions of 'data' will be stripped in transfer
RooAbsArg* addColumn(RooAbsArg& var)
RooArgSet* addColumns(const RooArgList& varList)
TH2F* createHistogram(const RooAbsRealLValue& var1, const RooAbsRealLValue& var2, const char* cuts, const char *name) 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).
TH2F* createHistogram(const RooAbsRealLValue& var1, const RooAbsRealLValue& var2, Int_t nx, Int_t ny, const char* cuts, const char *name) 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).
RooDataSet* read(const char *fileList, const RooArgList &varList,
const char *verbOpt, const char* commonPath,
const char* indexCatName)
Read given list of ascii files, and construct a data set, using the given
ArgList as structure definition.
Multiple file names in fileList should be comma separated. Each
file is optionally prefixed with 'commonPath' if such a path is
provided
The arglist specifies the dimensions of the dataset to be built
and 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 'variables'. Any text beyond
N tokens will be ignored with a warning message.
[ NB: This format is written by RooArgList::writeToStream() ]
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. (Option 'D' will provide additional
debugging information) The number of events read and skipped
is always summarized at the end.
When multiple files are read, a RooCategory arg in 'variables' 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'
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"
Bool_t write(const char* filename)
void printToStream(ostream& os, PrintOption opt, TString indent) const
Print info about this dataset to the specified output stream.
Standard: number of entries
Shape: list of variables we define & were generated with
Inline Functions
TObject* Clone(const char* newname = "0") const
void setWeightVar(const RooAbsArg& arg)
Bool_t isWeighted() const
TClass* Class()
TClass* IsA() const
void ShowMembers(TMemberInspector& insp, char* parent)
void Streamer(TBuffer& b)
void StreamerNVirtual(TBuffer& b)
RooDataSet& operator=(const RooDataSet&)
Last update: Tue Jun 28 18:12:00 2005
Copyright (c) 2000-2005, Regents of the University of California *
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