ROOT
6.07/01
Reference Guide
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RooAbsData is the common abstract base class for binned and unbinned datasets.
The abstract interface defines plotting and tabulating entry points for its contents and provides an iterator over its elements (bins for binned data sets, data points for unbinned datasets).
Definition at line 37 of file RooAbsData.h.
Classes | |
struct | PlotOpt |
Public Types | |
enum | ErrorType { Poisson, SumW2, None, Auto, Expected } |
enum | StorageType { Tree, Vector } |
Public Types inherited from TObject | |
enum | EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) } |
enum | { kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff } |
enum | { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) } |
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 } |
Public Member Functions | |
RooAbsData () | |
Default constructor. More... | |
RooAbsData (const char *name, const char *title, const RooArgSet &vars, RooAbsDataStore *store=0) | |
Constructor from a set of variables. More... | |
RooAbsData (const RooAbsData &other, const char *newname=0) | |
Copy constructor. More... | |
virtual | ~RooAbsData () |
Destructor. More... | |
virtual RooAbsData * | emptyClone (const char *newName=0, const char *newTitle=0, const RooArgSet *vars=0, const char *wgtVarName=0) const =0 |
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. More... | |
RooAbsData * | reduce (const char *cut) |
Create a subset of the data set by applying the given cut on the data points. More... | |
RooAbsData * | reduce (const RooFormulaVar &cutVar) |
Create a subset of the data set by applying the given cut on the data points. More... | |
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. More... | |
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. More... | |
RooAbsDataStore * | store () |
const RooAbsDataStore * | store () const |
const TTree * | tree () const |
void | convertToVectorStore () |
Convert tree-based storage to vector-based storage. More... | |
void | attachBuffers (const RooArgSet &extObs) |
void | resetBuffers () |
virtual void | Draw (Option_t *option="") |
Forward draw command to data store. More... | |
void | checkInit () const |
virtual Bool_t | changeObservableName (const char *from, const char *to) |
virtual void | add (const RooArgSet &row, Double_t weight=1, Double_t weightError=0)=0 |
virtual void | fill () |
virtual const RooArgSet * | get () const |
virtual Double_t | weight () const =0 |
virtual Double_t | weightSquared () const =0 |
virtual Bool_t | valid () const |
virtual Double_t | weightError (ErrorType etype=Poisson) const |
Return error on current weight (dummy implementation returning zero) More... | |
virtual void | weightError (Double_t &lo, Double_t &hi, ErrorType etype=Poisson) const |
Return asymmetric error on weight. (Dummy implementation returning zero) More... | |
virtual const RooArgSet * | get (Int_t index) const |
virtual Int_t | numEntries () const |
virtual Double_t | sumEntries () const =0 |
virtual Double_t | sumEntries (const char *cutSpec, const char *cutRange=0) const =0 |
virtual Bool_t | isWeighted () const |
virtual Bool_t | isNonPoissonWeighted () const |
virtual void | reset () |
Bool_t | getRange (RooRealVar &var, Double_t &lowest, Double_t &highest, Double_t marginFrac=0, Bool_t symMode=kFALSE) const |
Fill Doubles 'lowest' and 'highest' with the lowest and highest value of observable 'var' in this dataset. More... | |
virtual Roo1DTable * | table (const RooArgSet &catSet, const char *cuts="", const char *opts="") const |
Construct table for product of categories in catSet. More... | |
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. More... | |
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 |
Plot dataset on specified frame. More... | |
virtual RooPlot * | plotOn (RooPlot *frame, const RooLinkedList &cmdList) const |
Plot dataset on specified frame. More... | |
virtual TList * | split (const RooAbsCategory &splitCat, Bool_t createEmptyDataSets=kFALSE) const |
Split dataset into subsets based on states of given splitCat in this dataset. More... | |
Bool_t | canSplitFast () const |
RooAbsData * | getSimData (const char *idxstate) |
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 |
Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset. More... | |
TH1 * | createHistogram (const char *name, const RooAbsRealLValue &xvar, const RooLinkedList &argList) const |
Internal method that implements histogram filling. More... | |
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. More... | |
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. More... | |
virtual void | Print (Option_t *options=0) const |
Print TNamed name and title. More... | |
virtual void | printName (std::ostream &os) const |
Print name of dataset. More... | |
virtual void | printTitle (std::ostream &os) const |
Print title of dataset. More... | |
virtual void | printClassName (std::ostream &os) const |
Print class name of dataset. More... | |
void | printMultiline (std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const |
Interface for detailed printing of object. More... | |
virtual Int_t | defaultPrintContents (Option_t *opt) const |
Define default print options, for a given print style. More... | |
void | setDirtyProp (Bool_t flag) |
Control propagation of dirty flags from observables in dataset. More... | |
Double_t | moment (RooRealVar &var, Double_t order, const char *cutSpec=0, const char *cutRange=0) const |
Calculate moment < (X - <X>)^n > where n = order. More... | |
Double_t | moment (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. More... | |
Double_t | standMoment (RooRealVar &var, Double_t order, const char *cutSpec=0, const char *cutRange=0) const |
Calculate standardized moment < (X - <X>)^n > / sigma^n, where n = order. More... | |
Double_t | mean (RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const |
Double_t | sigma (RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const |
Double_t | skewness (RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const |
Double_t | kurtosis (RooRealVar &var, 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 |
Double_t | correlation (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 * | correlationMatrix (const char *cutSpec=0, const char *cutRange=0) const |
TMatrixDSym * | covarianceMatrix (const RooArgList &vars, const char *cutSpec=0, const char *cutRange=0) const |
TMatrixDSym * | correlationMatrix (const RooArgList &vars, const char *cutSpec=0, const char *cutRange=0) const |
RooRealVar * | meanVar (RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const |
Create a RooRealVar containing the mean of observable 'var' in this dataset. More... | |
RooRealVar * | rmsVar (RooRealVar &var, const char *cutSpec=0, const char *cutRange=0) const |
Create a RooRealVar containing the RMS of observable 'var' in this dataset. More... | |
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. More... | |
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() mehtod with named arguments. More... | |
Bool_t | hasFilledCache () const |
void | addOwnedComponent (const char *idxlabel, RooAbsData &data) |
Public Member Functions inherited from TNamed | |
TNamed () | |
TNamed (const char *name, const char *title) | |
TNamed (const TString &name, const TString &title) | |
TNamed (const TNamed &named) | |
TNamed & | operator= (const TNamed &rhs) |
TNamed assignment operator. More... | |
virtual | ~TNamed () |
virtual void | Clear (Option_t *option="") |
Set name and title to empty strings (""). More... | |
virtual TObject * | Clone (const char *newname="") const |
Make a clone of an object using the Streamer facility. More... | |
virtual Int_t | Compare (const TObject *obj) const |
Compare two TNamed objects. More... | |
virtual void | Copy (TObject &named) const |
Copy this to obj. More... | |
virtual void | FillBuffer (char *&buffer) |
Encode TNamed into output buffer. More... | |
virtual const char * | GetName () const |
Returns name of object. More... | |
virtual const char * | GetTitle () const |
Returns title of object. More... | |
virtual ULong_t | Hash () const |
Return hash value for this object. More... | |
virtual Bool_t | IsSortable () const |
virtual void | SetName (const char *name) |
Change (i.e. More... | |
virtual void | SetNameTitle (const char *name, const char *title) |
Change (i.e. set) all the TNamed parameters (name and title). More... | |
virtual void | SetTitle (const char *title="") |
Change (i.e. set) the title of the TNamed. More... | |
virtual void | ls (Option_t *option="") const |
List TNamed name and title. More... | |
virtual Int_t | Sizeof () const |
Return size of the TNamed part of the TObject. More... | |
Public Member Functions inherited from TObject | |
TObject () | |
TObject (const TObject &object) | |
TObject copy ctor. More... | |
TObject & | operator= (const TObject &rhs) |
TObject assignment operator. More... | |
virtual | ~TObject () |
TObject destructor. More... | |
virtual void | AppendPad (Option_t *option="") |
Append graphics object to current pad. More... | |
virtual void | Browse (TBrowser *b) |
Browse object. May be overridden for another default action. More... | |
virtual const char * | ClassName () const |
Returns name of class to which the object belongs. More... | |
virtual void | Delete (Option_t *option="") |
Delete this object. More... | |
virtual Int_t | DistancetoPrimitive (Int_t px, Int_t py) |
Computes distance from point (px,py) to the object. More... | |
virtual void | DrawClass () const |
Draw class inheritance tree of the class to which this object belongs. More... | |
virtual TObject * | DrawClone (Option_t *option="") const |
Draw a clone of this object in the current pad. More... | |
virtual void | Dump () const |
Dump contents of object on stdout. More... | |
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. More... | |
virtual void | Execute (TMethod *method, TObjArray *params, Int_t *error=0) |
Execute method on this object with parameters stored in the TObjArray. More... | |
virtual void | ExecuteEvent (Int_t event, Int_t px, Int_t py) |
Execute action corresponding to an event at (px,py). More... | |
virtual TObject * | FindObject (const char *name) const |
Must be redefined in derived classes. More... | |
virtual TObject * | FindObject (const TObject *obj) const |
Must be redefined in derived classes. More... | |
virtual Option_t * | GetDrawOption () const |
Get option used by the graphics system to draw this object. More... | |
virtual UInt_t | GetUniqueID () const |
Return the unique object id. More... | |
virtual const char * | GetIconName () const |
Returns mime type name of object. More... | |
virtual Option_t * | GetOption () const |
virtual char * | GetObjectInfo (Int_t px, Int_t py) const |
Returns string containing info about the object at position (px,py). More... | |
virtual Bool_t | HandleTimer (TTimer *timer) |
Execute action in response of a timer timing out. More... | |
virtual Bool_t | InheritsFrom (const char *classname) const |
Returns kTRUE if object inherits from class "classname". More... | |
virtual Bool_t | InheritsFrom (const TClass *cl) const |
Returns kTRUE if object inherits from TClass cl. More... | |
virtual void | Inspect () const |
Dump contents of this object in a graphics canvas. More... | |
virtual Bool_t | IsFolder () const |
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More... | |
virtual Bool_t | IsEqual (const TObject *obj) const |
Default equal comparison (objects are equal if they have the same address in memory). More... | |
Bool_t | IsOnHeap () const |
Bool_t | IsZombie () const |
virtual Bool_t | Notify () |
This method must be overridden to handle object notification. More... | |
virtual void | Paint (Option_t *option="") |
This method must be overridden if a class wants to paint itself. More... | |
virtual void | Pop () |
Pop on object drawn in a pad to the top of the display list. More... | |
virtual Int_t | Read (const char *name) |
Read contents of object with specified name from the current directory. More... | |
virtual void | RecursiveRemove (TObject *obj) |
Recursively remove this object from a list. More... | |
virtual void | SaveAs (const char *filename="", Option_t *option="") const |
Save this object in the file specified by filename. More... | |
virtual void | SavePrimitive (std::ostream &out, Option_t *option="") |
Save a primitive as a C++ statement(s) on output stream "out". More... | |
virtual void | SetDrawOption (Option_t *option="") |
Set drawing option for object. More... | |
virtual void | SetUniqueID (UInt_t uid) |
Set the unique object id. More... | |
virtual void | UseCurrentStyle () |
Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) |
Write this object to the current directory. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const |
Write this object to the current directory. More... | |
void * | operator new (size_t sz) |
void * | operator new[] (size_t sz) |
void * | operator new (size_t sz, void *vp) |
void * | operator new[] (size_t sz, void *vp) |
void | operator delete (void *ptr) |
Operator delete. More... | |
void | operator delete[] (void *ptr) |
Operator delete []. More... | |
void | SetBit (UInt_t f, Bool_t set) |
Set or unset the user status bits as specified in f. More... | |
void | SetBit (UInt_t f) |
void | ResetBit (UInt_t f) |
Bool_t | TestBit (UInt_t f) const |
Int_t | TestBits (UInt_t f) const |
void | InvertBit (UInt_t f) |
virtual void | Info (const char *method, const char *msgfmt,...) const |
Issue info message. More... | |
virtual void | Warning (const char *method, const char *msgfmt,...) const |
Issue warning message. More... | |
virtual void | Error (const char *method, const char *msgfmt,...) const |
Issue error message. More... | |
virtual void | SysError (const char *method, const char *msgfmt,...) const |
Issue system error message. More... | |
virtual void | Fatal (const char *method, const char *msgfmt,...) const |
Issue fatal error message. More... | |
void | AbstractMethod (const char *method) const |
Use this method to implement an "abstract" method that you don't want to leave purely abstract. More... | |
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). More... | |
void | Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const |
Use this method to declare a method obsolete. More... | |
Public Member Functions inherited from RooPrintable | |
RooPrintable () | |
virtual | ~RooPrintable () |
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'. More... | |
virtual void | printAddress (std::ostream &os) const |
Print class name of object. More... | |
virtual void | printValue (std::ostream &os) const |
Interface to print value of object. More... | |
virtual void | printArgs (std::ostream &os) const |
Interface for printing of object arguments. More... | |
virtual void | printExtras (std::ostream &os) const |
Interface to print extras of object. More... | |
virtual void | printTree (std::ostream &os, TString indent="") const |
Interface for tree structure printing of object. More... | |
virtual StyleOption | defaultPrintStyle (Option_t *opt) const |
Static Public Member Functions | |
static void | claimVars (RooAbsData *) |
static Bool_t | releaseVars (RooAbsData *) |
If return value is true variables can be deleted. More... | |
static void | setDefaultStorageType (StorageType s) |
static StorageType | getDefaultStorageType () |
Static Public Member Functions inherited from TObject | |
static Long_t | GetDtorOnly () |
Return destructor only flag. More... | |
static void | SetDtorOnly (void *obj) |
Set destructor only flag. More... | |
static Bool_t | GetObjectStat () |
Get status of object stat flag. More... | |
static void | SetObjectStat (Bool_t stat) |
Turn on/off tracking of objects in the TObjectTable. More... | |
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(). More... | |
static void | nameFieldLength (Int_t newLen) |
Set length of field reserved from printing name of RooAbsArgs in multi-line collection printing to given amount. More... | |
Protected Member Functions | |
Double_t | corrcov (RooRealVar &x, RooRealVar &y, const char *cutSpec, const char *cutRange, Bool_t corr) const |
Internal method to calculate single correlation and covariance elements. More... | |
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. More... | |
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'. More... | |
Bool_t | allClientsCached (RooAbsArg *, const RooArgSet &) |
Utility function that determines if all clients of object 'var' appear in given list of cached nodes. More... | |
virtual RooPlot * | plotOn (RooPlot *frame, PlotOpt o) const |
Create and fill a histogram of the frame's variable and append it to the frame. More... | |
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. More... | |
virtual RooPlot * | plotEffOn (RooPlot *frame, const RooAbsCategoryLValue &effCat, PlotOpt o) const |
Create and fill a histogram with the effiency 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. More... | |
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. More... | |
virtual void | resetCache () |
Internal method – Remove cached function values. More... | |
virtual void | setArgStatus (const RooArgSet &set, Bool_t active) |
virtual void | attachCache (const RooAbsArg *newOwner, const RooArgSet &cachedVars) |
Internal method – Attach dataset copied with cache contents to copied instances of functions. More... | |
virtual RooAbsData * | cacheClone (const RooAbsArg *newCacheOwner, const RooArgSet *newCacheVars, const char *newName=0)=0 |
virtual RooAbsData * | reduceEng (const RooArgSet &varSubset, const RooFormulaVar *cutVar, const char *cutRange=0, Int_t nStart=0, Int_t nStop=2000000000, Bool_t copyCache=kTRUE)=0 |
RooRealVar * | dataRealVar (const char *methodname, RooRealVar &extVar) const |
Internal method to check if given RooRealVar maps to a RooRealVar in this dataset. More... | |
Protected Member Functions inherited from TObject | |
void | MakeZombie () |
virtual void | DoError (int level, const char *location, const char *fmt, va_list va) const |
Interface to ErrorHandler (protected). More... | |
Protected Attributes | |
RooArgSet | _vars |
RooArgSet | _cachedVars |
TIterator * | _iterator |
External variables cached with this data set. More... | |
TIterator * | _cacheIter |
Iterator over dimension variables. More... | |
RooAbsDataStore * | _dstore |
Iterator over cached variables. More... | |
std::map< std::string, RooAbsData * > | _ownedComponents |
Protected Attributes inherited from TNamed | |
TString | fName |
TString | fTitle |
Static Protected Attributes | |
static StorageType | defaultStorageType =RooAbsData::Vector |
Static Protected Attributes inherited from RooPrintable | |
static Int_t | _nameLength |
Friends | |
class | RooAbsArg |
class | RooAbsReal |
class | RooAbsOptTestStatistic |
class | RooAbsCachedPdf |
#include <RooAbsData.h>
Enumerator | |
---|---|
Poisson | |
SumW2 | |
None | |
Auto | |
Expected |
Definition at line 84 of file RooAbsData.h.
Enumerator | |
---|---|
Tree | |
Vector |
Definition at line 212 of file RooAbsData.h.
RooAbsData::RooAbsData | ( | ) |
Default constructor.
Definition at line 117 of file RooAbsData.cxx.
RooAbsData::RooAbsData | ( | const char * | name, |
const char * | title, | ||
const RooArgSet & | vars, | ||
RooAbsDataStore * | dstore = 0 |
||
) |
Constructor from a set of variables.
Only fundamental elements of vars (RooRealVar,RooCategory etc) are stored as part of the dataset
Definition at line 133 of file RooAbsData.cxx.
RooAbsData::RooAbsData | ( | const RooAbsData & | other, |
const char * | newname = 0 |
||
) |
Copy constructor.
Definition at line 171 of file RooAbsData.cxx.
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virtual |
Destructor.
Definition at line 225 of file RooAbsData.cxx.
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pure virtual |
Implemented in RooDataSet, and RooDataHist.
Referenced by RooStats::AsymptoticCalculator::FillBins(), and split().
void RooAbsData::addOwnedComponent | ( | const char * | idxlabel, |
RooAbsData & | data | ||
) |
Definition at line 2440 of file RooAbsData.cxx.
Referenced by RooDataSet::RooDataSet().
Utility function that determines if all clients of object 'var' appear in given list of cached nodes.
Definition at line 2376 of file RooAbsData.cxx.
Referenced by optimizeReadingWithCaching().
Definition at line 2398 of file RooAbsData.cxx.
Referenced by RooAbsOptTestStatistic::initSlave(), and RooAbsOptTestStatistic::setDataSlave().
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protectedvirtual |
Internal method – Attach dataset copied with cache contents to copied instances of functions.
Definition at line 349 of file RooAbsData.cxx.
Referenced by RooDataSet::cacheClone(), and RooDataHist::cacheClone().
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protectedvirtual |
Internal method – Cache given set of functions with data.
Definition at line 326 of file RooAbsData.cxx.
Referenced by RooAbsOptTestStatistic::optimizeConstantTerms(), and RooAbsOptTestStatistic::setDataSlave().
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protectedpure virtual |
Implemented in RooDataHist, and RooDataSet.
Bool_t RooAbsData::canSplitFast | ( | ) | const |
Definition at line 2417 of file RooAbsData.cxx.
Referenced by RooAbsTestStatistic::setData().
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Definition at line 265 of file RooAbsData.cxx.
Referenced by RooWorkspace::import(), and RooMCStudy::run().
void RooAbsData::checkInit | ( | ) | const |
Definition at line 2468 of file RooAbsData.cxx.
Referenced by RooDataHist::add(), RooDataSet::add(), RooDataSet::addColumn(), RooDataSet::addColumns(), RooDataSet::addFast(), RooDataSet::append(), RooDataHist::binVolume(), RooDataHist::cacheClone(), RooDataHist::cacheValidEntries(), RooDataSet::createHistogram(), RooDataHist::get(), get(), RooDataHist::getIndex(), RooDataSet::merge(), RooDataHist::plotOn(), RooDataSet::plotOnXY(), RooDataSet::printMultiline(), RooDataSet::reduceEng(), RooDataHist::reduceEng(), RooDataHist::set(), RooDataHist::sum(), RooDataHist::sumEntries(), RooDataHist::weight(), RooDataHist::weightError(), and RooDataSet::write().
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Definition at line 93 of file RooAbsData.cxx.
Referenced by RooAbsData().
void RooAbsData::convertToVectorStore | ( | ) |
Convert tree-based storage to vector-based storage.
Definition at line 251 of file RooAbsData.cxx.
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protected |
Internal method to calculate single correlation and covariance elements.
Definition at line 1024 of file RooAbsData.cxx.
Referenced by correlation(), and covariance().
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Return covariance matrix from data for given list of observables.
Definition at line 1082 of file RooAbsData.cxx.
Referenced by correlationMatrix(), and covarianceMatrix().
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Definition at line 181 of file RooAbsData.h.
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inline |
Definition at line 184 of file RooAbsData.h.
Referenced by correlationMatrix().
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Definition at line 186 of file RooAbsData.h.
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Definition at line 180 of file RooAbsData.h.
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Definition at line 183 of file RooAbsData.h.
Referenced by covarianceMatrix().
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Definition at line 185 of file RooAbsData.h.
TH1 * RooAbsData::createHistogram | ( | const char * | name, |
const RooAbsRealLValue & | xvar, | ||
const RooCmdArg & | arg1 = RooCmdArg::none() , |
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const RooCmdArg & | arg2 = RooCmdArg::none() , |
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const RooCmdArg & | arg3 = RooCmdArg::none() , |
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const RooCmdArg & | arg4 = RooCmdArg::none() , |
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const RooCmdArg & | arg5 = RooCmdArg::none() , |
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const RooCmdArg & | arg6 = RooCmdArg::none() , |
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const RooCmdArg & | arg7 = RooCmdArg::none() , |
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const RooCmdArg & | arg8 = RooCmdArg::none() |
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) | const |
Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this dataset.
This function accepts the following arguments
name – Name of the ROOT histogram xvar – Observable to be mapped on x axis of ROOT histogram
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")))
The caller takes ownership of the returned histogram
Definition at line 735 of file RooAbsData.cxx.
Referenced by createHistogram(), rs401c_FeldmanCousins(), and rs401d_FeldmanCousins().
TH1 * RooAbsData::createHistogram | ( | const char * | name, |
const RooAbsRealLValue & | xvar, | ||
const RooLinkedList & | argList | ||
) | const |
Internal method that implements histogram filling.
Definition at line 752 of file RooAbsData.cxx.
TH1 * RooAbsData::createHistogram | ( | const char * | varNameList, |
Int_t | xbins = 0 , |
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Int_t | ybins = 0 , |
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Int_t | zbins = 0 |
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) | 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 649 of file RooAbsData.cxx.
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protected |
Internal method to check if given RooRealVar maps to a RooRealVar in this dataset.
Definition at line 1004 of file RooAbsData.cxx.
Referenced by corrcov(), and corrcovMatrix().
Define default print options, for a given print style.
Reimplemented from RooPrintable.
Definition at line 908 of file RooAbsData.cxx.
Referenced by Print().
Forward draw command to data store.
Reimplemented from TObject.
Definition at line 2477 of file RooAbsData.cxx.
Referenced by OneSidedFrequentistUpperLimitWithBands(), and TwoSidedFrequentistUpperLimitWithBands().
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Implemented in RooDataSet, and RooDataHist.
Referenced by split().
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Definition at line 282 of file RooAbsData.cxx.
Referenced by RooDataSet::add(), RooAcceptReject::addEventToCache(), RooDataSet::addFast(), RooDataHist::initialize(), and RooDataSet::read().
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Loop over columns of our tree data and fill the input histogram.
Returns a pointer to the input histogram, or zero in case of an error. The input histogram can be any TH1 subclass, and therefore of arbitrary dimension. Variables are matched with the (x,y,...) dimensions of the input histogram according to the order in which they appear in the input plotVars list.
Definition at line 1401 of file RooAbsData.cxx.
Referenced by createHistogram(), plotAsymOn(), plotEffOn(), and plotOn().
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Reimplemented in RooDataSet, and RooDataHist.
Definition at line 77 of file RooAbsData.h.
Referenced by RooDataHist::add(), RooAbsArg::attachDataSet(), RooSimPdfBuilder::buildPdf(), RooStats::ConfidenceBelt::CheckParameters(), RooAbsPdf::createNLL(), RooStats::FeldmanCousins::CreateParameterPoints(), RooStats::HybridCalculatorOriginal::DoCheckInputs(), RooStats::NumEventsTestStat::Evaluate(), RooDataWeightedAverage::evaluatePartition(), RooNLLVar::evaluatePartition(), RooChi2Var::evaluatePartition(), RooStats::ProfileLikelihoodTestStat::EvaluateProfileLikelihood(), RooXYChi2Var::fy(), RooDataHist::get(), RooDataSet::get(), RooStats::HistFactory::getDataValuesForObservables(), RooStats::NeymanConstruction::GetInterval(), RooAbsArg::getObservables(), RooAbsArg::getParameters(), RooStats::ConfidenceBelt::GetParameters(), RooWorkspace::import(), RooAbsOptTestStatistic::initSlave(), RooStats::AsymptoticCalculator::MakeAsimovData(), RooAbsArg::observableOverlaps(), RooDataProjBinding::operator()(), RooAbsOptTestStatistic::optimizeConstantTerms(), RooAbsReal::plotAsymOn(), RooSimultaneous::plotOn(), RooAbsReal::plotOn(), RooWorkspace::Print(), RooAbsOptTestStatistic::printCompactTreeHook(), RooStats::HypoTestInverter::RebuildDistributions(), RooDataProjBinding::RooDataProjBinding(), RooDataWeightedAverage::RooDataWeightedAverage(), RooXYChi2Var::RooXYChi2Var(), RooAbsOptTestStatistic::setDataSlave(), and StandardHistFactoryPlotsWithCategories().
Reimplemented in RooDataSet, and RooDataHist.
Definition at line 314 of file RooAbsData.cxx.
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Definition at line 85 of file RooAbsData.cxx.
Bool_t RooAbsData::getRange | ( | RooRealVar & | var, |
Double_t & | lowest, | ||
Double_t & | highest, | ||
Double_t | marginFrac = 0 , |
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Bool_t | symMode = kFALSE |
||
) | const |
Fill Doubles 'lowest' and 'highest' with the lowest and highest value of observable 'var' in this dataset.
If the return value is kTRUE and error occurred
Definition at line 2241 of file RooAbsData.cxx.
Referenced by createHistogram(), RooAbsRealLValue::frame(), RooStats::PointSetInterval::LowerLimit(), and RooStats::PointSetInterval::UpperLimit().
RooAbsData * RooAbsData::getSimData | ( | const char * | idxstate | ) |
Definition at line 2429 of file RooAbsData.cxx.
Referenced by RooAbsTestStatistic::setData().
Bool_t RooAbsData::hasFilledCache | ( | ) | const |
Definition at line 2486 of file RooAbsData.cxx.
Referenced by RooAbsOptTestStatistic::constOptimizeTestStatistic().
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inlinevirtual |
Reimplemented in RooDataSet, and RooDataHist.
Definition at line 96 of file RooAbsData.h.
Referenced by RooAbsPdf::fitTo(), and plotOn().
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inlinevirtual |
Reimplemented in RooDataSet, and RooDataHist.
Definition at line 92 of file RooAbsData.h.
Referenced by RooStats::NumEventsTestStat::Evaluate(), split(), and StandardHypoTestDemo().
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Definition at line 178 of file RooAbsData.h.
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inline |
Definition at line 175 of file RooAbsData.h.
Referenced by IntervalExamples().
RooRealVar * RooAbsData::meanVar | ( | RooRealVar & | var, |
const char * | cutSpec = 0 , |
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const char * | cutRange = 0 |
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) | const |
Create a RooRealVar containing the mean of observable 'var' in this dataset.
If cutSpec and/or cutRange are specified the moment is calculated on the subset of the data which pass the C++ cut specification expression 'cutSpec' and/or are inside the range named 'cutRange'
Definition at line 1180 of file RooAbsData.cxx.
Referenced by statOn().
Double_t RooAbsData::moment | ( | RooRealVar & | var, |
Double_t | order, | ||
const char * | cutSpec = 0 , |
||
const char * | cutRange = 0 |
||
) | const |
Calculate moment < (X - <X>)^n > where n = order.
If cutSpec and/or cutRange are specified the moment is calculated on the subset of the data which pass the C++ cut specification expression 'cutSpec' and/or are inside the range named 'cutRange'
Definition at line 940 of file RooAbsData.cxx.
Referenced by RooAbsRealLValue::frame(), getRange(), mean(), meanVar(), rmsVar(), sigma(), and standMoment().
Double_t RooAbsData::moment | ( | RooRealVar & | var, |
Double_t | order, | ||
Double_t | offset, | ||
const char * | cutSpec = 0 , |
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const char * | cutRange = 0 |
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) | const |
Return the 'order'-ed moment of observable 'var' in this dataset.
If offset is non-zero it is subtracted from the values of 'var' prior to the moment calculation. If cutSpec and/or cutRange are specified the moment is calculated on the subset of the data which pass the C++ cut specification expression 'cutSpec' and/or are inside the range named 'cutRange'
Definition at line 957 of file RooAbsData.cxx.
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Reimplemented in RooDataHist.
Definition at line 293 of file RooAbsData.cxx.
Referenced by RooDataHist::add(), RooStats::ConfidenceBelt::AddAcceptanceRegion(), RooStats::SPlot::AddSWeight(), ClassImp(), corrcov(), corrcovMatrix(), RooStats::CreateBranchStore(), RooDataSet::createHistogram(), RooStats::FeldmanCousins::CreateParameterPoints(), RooStats::BernsteinCorrection::CreateQSamplingDist(), RooStats::FeldmanCousins::CreateTestStatSampler(), RooStats::NumEventsTestStat::Evaluate(), RooNLLVar::evaluatePartition(), RooStats::ProfileLikelihoodTestStat::EvaluateProfileLikelihood(), fillHistogram(), RooStats::FillTree(), RooMCStudy::fitParams(), FitUsingRooFit(), FitUsingRooFit2(), RooAbsGenContext::generate(), RooAbsPdf::generate(), RooAcceptReject::generateEvent(), RooStats::ConfidenceBelt::GetAcceptanceRegion(), RooStats::MarkovChain::GetAsSparseHist(), RooAcceptReject::getFuncMax(), RooStats::FeldmanCousins::GetInterval(), RooStats::NeymanConstruction::GetInterval(), getRange(), RooStats::SPlot::GetSumOfEventSWeight(), RooStats::SPlot::GetSWeight(), RooStats::SPlot::GetYieldFromSWeight(), RooStats::AsymptoticCalculator::Initialize(), RooNDKeysPdf::initialize(), RooAbsTestStatistic::initSimMode(), RooAbsOptTestStatistic::initSlave(), IntervalExamples(), RooStats::PointSetInterval::IsInInterval(), RooDataSet::isNonPoissonWeighted(), Roo2DKeysPdf::loadDataSet(), RooKeysPdf::LoadDataSet(), RooStats::AsymptoticCalculator::MakeAsimovData(), RooStats::ToyMCStudy::merge(), RooDataSet::merge(), moment(), RooAcceptReject::nextAcceptedEvent(), RooDataHist::numEntries(), OneSidedFrequentistUpperLimitWithBands(), RooDataProjBinding::operator()(), RooAbsReal::plotOnWithErrorBand(), RooDataSet::plotOnXY(), RooDataSet::printValue(), RooStats::UpperLimitMCSModule::processBetweenGenAndFit(), RooDataSet::read(), RooStats::HypoTestInverter::RebuildDistributions(), RooAbsGenContext::resampleData(), RooAbsTestStatistic::RooAbsTestStatistic(), RooDataWeightedAverage::RooDataWeightedAverage(), rs101_limitexample(), RooMCStudy::run(), RooStats::HybridCalculatorOriginal::RunToys(), RooAbsTestStatistic::setData(), RooAbsOptTestStatistic::setDataSlave(), RooAbsGenContext::setProtoDataOrder(), RooStats::MarkovChain::Size(), split(), StandardFeldmanCousinsDemo(), StandardFrequentistDiscovery(), StandardHypoTestDemo(), StandardTestStatDistributionDemo(), RooDataSet::sumEntries(), table(), TwoSidedFrequentistUpperLimitWithBands(), and RooDataSet::write().
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protectedvirtual |
Prepare dataset for use with cached constant terms listed in 'cacheList' of expression 'arg'.
Deactivate tree branches for any dataset observable that is either not used at all, or is used exclusively by cached branch nodes.
Definition at line 2308 of file RooAbsData.cxx.
Referenced by RooAbsOptTestStatistic::optimizeCaching(), and RooAbsOptTestStatistic::optimizeConstantTerms().
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protectedvirtual |
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.
The asymmetry category 'asymCat' must have exactly 2 (or 3) states defined with index values +1,-1 (and 0)
The plot range and the number of plot bins is determined by the parameters of the plot variable of the frame (RooAbsReal::setPlotRange(), RooAbsReal::setPlotBins())
The optional cut string expression can be used to select the events to be plotted. The cut specification may refer to any variable contained in the data set
The drawOptions are passed to the TH1::Draw() method
Definition at line 1993 of file RooAbsData.cxx.
Referenced by plotOn().
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protectedvirtual |
Create and fill a histogram with the effiency 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.
The efficiency category 'effCat' must have exactly 2 +1 and 0.
The plot range and the number of plot bins is determined by the parameters of the plot variable of the frame (RooAbsReal::setPlotRange(), RooAbsReal::setPlotBins())
The optional cut string expression can be used to select the events to be plotted. The cut specification may refer to any variable contained in the data set
The drawOptions are passed to the TH1::Draw() method
Definition at line 2089 of file RooAbsData.cxx.
Referenced by plotOn().
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Plot dataset on specified frame.
By default an unbinned dataset will use the default binning of the target frame. A binned dataset will by default retain its intrinsic binning.
The following optional named arguments can be used to modify the default behavior
Asymmetry(const RooCategory& c) – Show the asymmetry of the daya in given two-state category [F(+)-F(-)] / [F(+)+F(-)]. Category must have two states with indices -1 and +1 or three states with indeces -1,0 and +1. DataError(RooAbsData::EType) – Select the type of error drawn: Poisson (default) draws asymmetric Poisson confidence intervals. SumW2 draws symmetric sum-of-weights error Binning(int nbins, double xlo, – Use specified binning to draw dataset double xhi) Binning(const RooAbsBinning&) – Use specified binning to draw dataset Binning(const char* name) – Use binning with specified name to draw dataset RefreshNorm(Bool_t flag) – Force refreshing for PDF normalization information in frame. If set, any subsequent PDF will normalize to this dataset, even if it is not the first one added to the frame. By default only the 1st dataset added to a frame will update the normalization information Rescale(Double_t factor) – Apply global rescaling factor to histogram
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 XErrorSize(Double_t frac) – Select size of X error bar as fraction of the bin width, default is 1
Name(const chat* name) – Give curve specified name in frame. Useful if curve is to be referenced later Invisble(Bool_t flag) – Add curve to frame, but do not display. Useful in combination AddTo() AddTo(const char* name, – Add constructed histogram to already existing histogram with given name and relative weight factors double_t wgtSelf, double_t wgtOther)
Definition at line 626 of file RooAbsData.cxx.
Referenced by IntervalExamples(), MakePlots(), RooMCStudy::plotError(), RooMCStudy::plotNLL(), plotOn(), RooDataHist::plotOn(), RooMCStudy::plotParam(), RooMCStudy::plotParamOn(), RooMCStudy::plotPull(), rs401c_FeldmanCousins(), rs401d_FeldmanCousins(), rs601_HLFactoryexample(), rs603_HLFactoryElaborateExample(), rs_bernsteinCorrection(), StandardHistFactoryPlotsWithCategories(), and TestNonCentral().
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Plot dataset on specified frame.
By default an unbinned dataset will use the default binning of the target frame. A binned dataset will by default retain its intrinsic binning.
The following optional named arguments can be used to modify the default behavior
Asymmetry(const RooCategory& c) – Show the asymmetry of the data in given two-state category [F(+)-F(-)] / [F(+)+F(-)]. Category must have two states with indices -1 and +1 or three states with indeces -1,0 and +1. Efficiency(const RooCategory& c)– Show the efficiency F(acc)/[F(acc)+F(rej)]. Category must have two states with indices 0 and 1 DataError(RooAbsData::EType) – Select the type of error drawn:
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 FillStyle(Int_t style) – Select fill style, default is filled. FillColor(Int_t color) – Select fill color by ROOT color code XErrorSize(Double_t frac) – Select size of X error bar as fraction of the bin width, default is 1
Name(const chat* name) – Give curve specified name in frame. Useful if curve is to be referenced later Invisble() – Add curve to frame, but do not display. Useful in combination AddTo() AddTo(const char* name, – Add constructed histogram to already existing histogram with given name and relative weight factors double_t wgtSelf, double_t wgtOther)
Definition at line 1732 of file RooAbsData.cxx.
Create and fill a histogram of the frame's variable and append it to the frame.
The frame variable must be one of the data sets dimensions.
The plot range and the number of plot bins is determined by the parameters of the plot variable of the frame (RooAbsReal::setPlotRange(), RooAbsReal::setPlotBins())
The optional cut string expression can be used to select the events to be plotted. The cut specification may refer to any variable contained in the data set
The drawOptions are passed to the TH1::Draw() method
Reimplemented in RooDataHist.
Definition at line 1865 of file RooAbsData.cxx.
Print TNamed name and title.
Reimplemented from TNamed.
Definition at line 157 of file RooAbsData.h.
Referenced by RooStudyPackage::exportData(), RooStats::AsymptoticCalculator::GenerateAsimovData(), RooStats::AsymptoticCalculator::GenerateAsimovDataSinglePdf(), RooStats::HLFactory::GetTotDataSet(), IntervalExamples(), JeffreysPriorDemo(), rs401c_FeldmanCousins(), TestJeffreysGaussMean(), TestJeffreysGaussMeanAndSigma(), and TestJeffreysGaussSigma().
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Print class name of dataset.
Reimplemented from RooPrintable.
Definition at line 888 of file RooAbsData.cxx.
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Interface for detailed printing of object.
Reimplemented from RooPrintable.
Reimplemented in RooDataSet, and RooDataHist.
Definition at line 897 of file RooAbsData.cxx.
Referenced by RooDataHist::printMultiline(), and RooDataSet::printMultiline().
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Print name of dataset.
Reimplemented from RooPrintable.
Definition at line 868 of file RooAbsData.cxx.
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Print title of dataset.
Reimplemented from RooPrintable.
Definition at line 878 of file RooAbsData.cxx.
RooAbsData * RooAbsData::reduce | ( | const RooCmdArg & | arg1, |
const RooCmdArg & | arg2 = RooCmdArg() , |
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const RooCmdArg & | arg3 = RooCmdArg() , |
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const RooCmdArg & | arg4 = RooCmdArg() , |
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const RooCmdArg & | arg5 = RooCmdArg() , |
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const RooCmdArg & | arg6 = RooCmdArg() , |
||
const RooCmdArg & | arg7 = RooCmdArg() , |
||
const RooCmdArg & | arg8 = RooCmdArg() |
||
) |
Create a reduced copy of this dataset.
The caller takes ownership of the returned dataset
The following optional named arguments are accepted
SelectVars(const RooArgSet& vars) – Only retain the listed observables in the output dataset Cut(const char* expression) – Only retain event surviving the given cut expression Cut(const RooFormulaVar& expr) – Only retain event surviving the given cut formula CutRange(const char* name) – Only retain events inside range with given name. Multiple CutRange arguments may be given to select multiple ranges EventRange(int lo, int hi) – Only retain events with given sequential event numbers Name(const char* name) – Give specified name to output dataset Title(const char* name) – Give specified title to output dataset
Definition at line 399 of file RooAbsData.cxx.
Referenced by RooStats::MarkovChain::GetAsDataHist(), RooStats::MarkovChain::GetAsDataSet(), RooAbsOptTestStatistic::initSlave(), RooAbsReal::plotAsymOn(), RooSimultaneous::plotOn(), plotOn(), RooAbsReal::plotOn(), RooAbsGenContext::resampleData(), and RooAbsOptTestStatistic::setDataSlave().
RooAbsData * RooAbsData::reduce | ( | const char * | cut | ) |
Create a subset of the data set by applying the given cut on the data points.
The cut expression can refer to any variable in the data set. For cuts involving other variables, such as intermediate formula objects, use the equivalent reduce method specifying the as a RooFormulVar reference.
Definition at line 484 of file RooAbsData.cxx.
RooAbsData * RooAbsData::reduce | ( | const RooFormulaVar & | cutVar | ) |
Create a subset of the data set by applying the given cut on the data points.
The 'cutVar' formula variable is used to select the subset of data points to be retained in the reduced data collection.
Definition at line 497 of file RooAbsData.cxx.
RooAbsData * 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.
The cut expression can refer to any variable in the data set. For cuts involving other variables, such as intermediate formula objects, use the equivalent reduce method specifying the as a RooFormulVar reference.
Definition at line 512 of file RooAbsData.cxx.
RooAbsData * 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.
The 'cutVar' formula variable is used to select the subset of data points to be retained in the reduced data collection.
Definition at line 543 of file RooAbsData.cxx.
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protectedpure virtual |
Implemented in RooDataHist, and RooDataSet.
Referenced by reduce().
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If return value is true variables can be deleted.
Definition at line 103 of file RooAbsData.cxx.
Referenced by ~RooAbsData().
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Reimplemented in RooDataHist.
Definition at line 304 of file RooAbsData.cxx.
Referenced by RooMCStudy::fit(), RooMCStudy::generateAndFit(), RooAcceptReject::generateEvent(), RooAcceptReject::getFuncMax(), RooChi2MCSModule::initializeRun(), RooDLLSignificanceMCSModule::initializeRun(), RooRandomizeParamMCSModule::initializeRun(), and RooStats::UpperLimitMCSModule::initializeRun().
void RooAbsData::resetBuffers | ( | ) |
Definition at line 2407 of file RooAbsData.cxx.
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Internal method – Remove cached function values.
Definition at line 338 of file RooAbsData.cxx.
Referenced by RooAbsOptTestStatistic::optimizeConstantTerms().
RooRealVar * RooAbsData::rmsVar | ( | RooRealVar & | var, |
const char * | cutSpec = 0 , |
||
const char * | cutRange = 0 |
||
) | const |
Create a RooRealVar containing the RMS of observable 'var' in this dataset.
If cutSpec and/or cutRange are specified the moment is calculated on the subset of the data which pass the C++ cut specification expression 'cutSpec' and/or are inside the range named 'cutRange'
Definition at line 1218 of file RooAbsData.cxx.
Referenced by statOn().
Definition at line 363 of file RooAbsData.cxx.
Referenced by RooAbsOptTestStatistic::optimizeConstantTerms(), and optimizeReadingWithCaching().
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static |
Definition at line 77 of file RooAbsData.cxx.
Control propagation of dirty flags from observables in dataset.
Definition at line 374 of file RooAbsData.cxx.
Referenced by RooAbsGenContext::createDataSet(), RooAbsGenContext::generate(), RooAbsOptTestStatistic::optimizeCaching(), RooAbsOptTestStatistic::optimizeConstantTerms(), and RooAbsOptTestStatistic::setDataSlave().
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Definition at line 176 of file RooAbsData.h.
Referenced by standMoment().
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inline |
Definition at line 177 of file RooAbsData.h.
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Split dataset into subsets based on states of given splitCat in this dataset.
A TList of RooDataSets is returned in which each RooDataSet is named after the state name of splitCat of which it contains the dataset subset. The observables splitCat itself is no longer present in the sub datasets. If createEmptyDataSets is kFALSE (default) this method only creates datasets for states which have at least one entry The caller takes ownership of the returned list and its contents
Definition at line 1597 of file RooAbsData.cxx.
Referenced by RooStats::HistFactory::HistFactoryNavigation::GetDataHist(), RooStats::HistFactory::getDataValuesForObservables(), and RooAbsTestStatistic::setData().
Double_t RooAbsData::standMoment | ( | RooRealVar & | var, |
Double_t | order, | ||
const char * | cutSpec = 0 , |
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const char * | cutRange = 0 |
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Calculate standardized moment < (X - <X>)^n > / sigma^n, where n = order.
If cutSpec and/or cutRange are specified the moment is calculated on the subset of the data which pass the C++ cut specification expression 'cutSpec' and/or are inside the range named 'cutRange'
Definition at line 922 of file RooAbsData.cxx.
Referenced by kurtosis(), and skewness().
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Add a box with statistics information to the specified frame.
By default a box with the event count, mean and rms of the plotted variable is added.
The following optional named arguments are accepted
What(const char* whatstr) – Controls what is printed: "N" = count, "M" is mean, "R" is RMS. Format(const char* optStr) – Classing [arameter formatting options, provided for backward compatibility Format(const char* what,...) – Parameter formatting options, details given below Label(const chat* label) – Add header label to parameter box Layout(Double_t xmin, – Specify relative position of left,right side of box and top of box. Position of Double_t xmax, Double_t ymax) bottom of box is calculated automatically from number lines in box Cut(const char* expression) – Apply given cut expression to data when calculating statistics CutRange(const char* rangeName) – Only consider events within given range when calculating statistics. Multiple CutRange() argument may be specified to combine ranges
The Format(const char* what,...) has the following structure
const char* what – Controls what is shown. "N" adds name, "E" adds error, "A" shows asymmetric error, "U" shows unit, "H" hides the value FixedPrecision(int n) – Controls precision, set fixed number of digits AutoPrecision(int n) – Controls precision. Number of shown digits is calculated from error
Definition at line 1272 of file RooAbsData.cxx.
Referenced by IntervalExamples().
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Implementation back-end of statOn() mehtod with named arguments.
Definition at line 1327 of file RooAbsData.cxx.
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Definition at line 55 of file RooAbsData.h.
Referenced by RooAbsOptTestStatistic::constOptimizeTestStatistic(), RooDataWeightedAverage::evaluatePartition(), RooNLLVar::evaluatePartition(), RooChi2Var::evaluatePartition(), RooXYChi2Var::evaluatePartition(), RooDataSet::isWeighted(), RooAbsOptTestStatistic::optimizeConstantTerms(), RooAbsData(), RooDataSet::RooDataSet(), RooDataSet::sumEntries(), RooDataSet::weight(), RooDataSet::weightError(), and RooDataSet::weightSquared().
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Definition at line 56 of file RooAbsData.h.
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Implemented in RooDataHist, and RooDataSet.
Referenced by corrcov(), corrcovMatrix(), RooStats::NumEventsTestStat::Evaluate(), RooNLLVar::evaluatePartition(), RooChi2Var::evaluatePartition(), RooMCStudy::fitSample(), getRange(), RooAbsTestStatistic::initSimMode(), RooStats::AsymptoticCalculator::MakeAsimovData(), meanVar(), moment(), plotOn(), RooStats::HypoTestInverter::RebuildDistributions(), RooMCStudy::refit(), rmsVar(), RooDataWeightedAverage::RooDataWeightedAverage(), RooMCStudy::run(), StandardHistFactoryPlotsWithCategories(), StandardHypoTestDemo(), and statOn().
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Implemented in RooDataHist, and RooDataSet.
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Construct table for product of categories in catSet.
Definition at line 835 of file RooAbsData.cxx.
Referenced by RooSimultaneous::plotOn(), and RooDataProjBinding::RooDataProjBinding().
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Create and fill a 1-dimensional table for given category column This functions is the equivalent of plotOn() for category dimensions.
The optional cut string expression can be used to select the events to be tabulated The cut specification may refer to any variable contained in the data set
The option string is currently not used
Definition at line 2179 of file RooAbsData.cxx.
const TTree * RooAbsData::tree | ( | ) | const |
Definition at line 2494 of file RooAbsData.cxx.
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Reimplemented in RooDataHist.
Definition at line 83 of file RooAbsData.h.
Referenced by RooNLLVar::evaluatePartition(), and RooXYChi2Var::evaluatePartition().
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Implemented in RooDataHist, and RooDataSet.
Referenced by RooDataHist::add(), corrcov(), corrcovMatrix(), RooDataWeightedAverage::evaluatePartition(), RooNLLVar::evaluatePartition(), fillHistogram(), moment(), RooDataProjBinding::operator()(), split(), and table().
Return error on current weight (dummy implementation returning zero)
Reimplemented in RooDataHist, and RooDataSet.
Definition at line 566 of file RooAbsData.cxx.
Referenced by fillHistogram().
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Return asymmetric error on weight. (Dummy implementation returning zero)
Reimplemented in RooDataHist, and RooDataSet.
Definition at line 576 of file RooAbsData.cxx.
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Implemented in RooDataHist, and RooDataSet.
Referenced by RooDataHist::add(), RooNLLVar::evaluatePartition(), and split().
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Definition at line 236 of file RooAbsData.h.
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Definition at line 239 of file RooAbsData.h.
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Definition at line 238 of file RooAbsData.h.
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Definition at line 237 of file RooAbsData.h.
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Definition at line 254 of file RooAbsData.h.
Referenced by RooDataSet::cacheClone(), RooDataHist::cacheClone(), RooDataHist::printMultiline(), resetCache(), RooAbsData(), and RooDataSet::RooDataSet().
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Iterator over dimension variables.
Definition at line 257 of file RooAbsData.h.
Referenced by RooAbsData(), and ~RooAbsData().
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Iterator over cached variables.
Definition at line 259 of file RooAbsData.h.
Referenced by RooDataSet::addColumn(), RooDataSet::addColumns(), RooDataSet::addFast(), RooDataSet::append(), attachBuffers(), attachCache(), cacheArgs(), changeObservableName(), checkInit(), convertToVectorStore(), Draw(), fill(), get(), hasFilledCache(), RooDataHist::initialize(), RooDataSet::merge(), numEntries(), printMultiline(), reset(), resetBuffers(), resetCache(), RooAbsData(), RooDataHist::RooDataHist(), RooDataSet::RooDataSet(), setArgStatus(), setDirtyProp(), store(), tree(), and ~RooAbsData().
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External variables cached with this data set.
Definition at line 256 of file RooAbsData.h.
Referenced by RooDataHist::calculatePartialBinVolume(), fillHistogram(), RooDataHist::initialize(), RooDataHist::printArgs(), RooAbsData(), RooDataHist::RooDataHist(), RooDataHistSliceIter::RooDataHistSliceIter(), RooDataHist::sum(), and ~RooAbsData().
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Definition at line 261 of file RooAbsData.h.
Referenced by addOwnedComponent(), canSplitFast(), getSimData(), RooAbsData(), and ~RooAbsData().
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Definition at line 253 of file RooAbsData.h.
Referenced by RooDataHist::add(), RooDataSet::addColumn(), RooDataSet::addColumns(), RooDataHist::adjustBinning(), RooDataSet::cacheClone(), RooDataHist::cacheValidEntries(), RooDataHist::calculatePartialBinVolume(), changeObservableName(), convertToVectorStore(), RooDataSet::createHistogram(), dataRealVar(), RooDataSet::emptyClone(), fillHistogram(), RooDataHist::get(), get(), RooDataHist::getIndex(), getRange(), RooDataHist::importDHistSet(), RooDataHist::importTH1(), RooDataHist::importTH1Set(), RooDataSet::initialize(), RooDataHist::initialize(), RooDataSet::merge(), moment(), plotAsymOn(), plotEffOn(), RooDataHist::plotOn(), plotOn(), RooDataSet::plotOnXY(), RooDataHist::printMultiline(), RooDataSet::read(), reduce(), RooDataHist::reduceEng(), RooAbsData(), RooDataHist::RooDataHist(), RooDataHistSliceIter::RooDataHistSliceIter(), RooDataSet::RooDataSet(), RooDataHist::set(), RooDataHist::sliceIterator(), RooDataHist::sum(), RooDataSet::sumEntries(), RooDataHist::sumEntries(), table(), RooDataHist::weight(), and ~RooAbsData().
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Definition at line 220 of file RooAbsData.h.
Referenced by RooDataHist::RooDataHist(), and RooDataSet::RooDataSet().