class TUnuranEmpDist: public TUnuranBaseDist

Function Members (Methods)

public:

virtual	~TUnuranEmpDist()
static TClass*	Class()
virtual TUnuranEmpDist*	Clone() const
const vector<double>&	Data() const
virtual TClass*	IsA() const
bool	IsBinned() const
double	LowerBin() const
unsigned int	NDim() const
TUnuranEmpDist&	operator=(const TUnuranEmpDist& rhs)
virtual void	ShowMembers(TMemberInspector& insp) const
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
	TUnuranEmpDist(const TUnuranEmpDist&)
	TUnuranEmpDist(const TH1* h1 = 0, bool useBuffer = true)
	TUnuranEmpDist(unsigned int n, double* x)
	TUnuranEmpDist(unsigned int n, double* x, double* y)
	TUnuranEmpDist(unsigned int n, double* x, double* y, double* z)
double	UpperBin() const

private:

bool	fBinned	flag for binned/unbinned data
vector<double>	fData	pointer to the data vector (used for generation from un-binned data)
unsigned int	fDim	data dimensionality
double	fMax	max values (used in the binned case)
double	fMin	min values (used in the binned case)

Inheritance Chart:

TUnuranBaseDist

←

TUnuranEmpDist

TUnuranEmpDist(const TH1* h1 = 0, bool useBuffer = true)

Constructor from a TH1 objects.
The buffer of the histo, if available, can be used for
 the estimation of the parent distribution using smoothing

TUnuranEmpDist(unsigned int n, double* x)

 constructor for 1D unbinned data

TUnuranEmpDist(unsigned int n, double* x, double* y)

 constructor for 2D unbinned data

TUnuranEmpDist(unsigned int n, double* x, double* y, double* z)

 constructor for 3D unbinned data

 Implementation of copy ctor using aassignment operator

      Destructor (no operations)

{}

      Clone (required by base class)

{ return new TUnuranEmpDist(*this); }

const std::vector<double> & Data() const

      Return reference to data vector (unbinned or binned data)

{ return fData; }

bool IsBinned() const

      Flag to control if data are binned

{ return fBinned; }

double LowerBin() const

      Min value of binned data
      (return 0 for unbinned data)

{ return fMin; }

double UpperBin() const

      upper value of binned data
      (return 0 for unbinned data)

{ return fMax; }

unsigned int NDim() const

      Number of data dimensions

{ return fDim; }