// @(#)root/graf:$Name: $:$Id: TGraphSmooth.h,v 1.2 2001/10/01 16:07:33 rdm Exp $
// Author: Christian Stratowa 30/09/2001
/******************************************************************************
* Copyright(c) 2001- , Dr. Christian Stratowa, Vienna, Austria. *
* Author: Christian Stratowa with help from Rene Brun. *
* *
* Algorithms for smooth regression adapted from: *
* R: A Computer Language for Statistical Data Analysis *
* Copyright (C) 1996 Robert Gentleman and Ross Ihaka *
* Copyright (C) 1999-2001 Robert Gentleman, Ross Ihaka and the *
* R Development Core Team *
* R is free software, for licensing see the GNU General Public License *
* http://www.ci.tuwien.ac.at/R-project/welcome.html *
* *
* Based on: "The ROOT System", All rights reserved. *
* Authors: Rene Brun and Fons Rademakers. *
* For the licensing terms of "The ROOT System" see $ROOTSYS/AA_LICENSE. *
* For the list of contributors to "The ROOT System" see $ROOTSYS/AA_CREDITS. *
******************************************************************************/
#ifndef ROOT_TGraphSmooth
#define ROOT_TGraphSmooth
//////////////////////////////////////////////////////////////////////////
// //
// TGraphSmooth //
// //
// Class for different regression smoothers //
// //
//////////////////////////////////////////////////////////////////////////
#ifndef ROOT_TGraph
#include "TGraph.h"
#endif
class TGraphSmooth: public TNamed {
protected:
Int_t fNin; //Number of input points
Int_t fNout; //Number of output points
TGraph *fGin; //Input graph
TGraph *fGout; //Output graph
Double_t fMinX; //Minimum value of array X
Double_t fMaxX; //Maximum value of array X
public :
TGraphSmooth();
TGraphSmooth(const char *name);
// TGraphSmooth(const TGraphSmooth &smoothReg); //??
virtual ~TGraphSmooth();
TGraph *Approx(TGraph *grin, Option_t *option="linear", Int_t nout=50, Double_t *xout=0,
Double_t yleft=0, Double_t yright=0, Int_t rule=0, Double_t f=0, Option_t *ties="mean");
TGraph *SmoothKern(TGraph *grin, Option_t *option="normal", Double_t bandwidth=0.5, Int_t nout=100, Double_t *xout=0);
TGraph *SmoothLowess(TGraph *grin, Option_t *option="",Double_t span=0.67, Int_t iter = 3, Double_t delta = 0);
TGraph *SmoothSuper(TGraph *grin, Option_t *option="", Double_t bass = 0, Double_t span=0, Bool_t isPeriodic = kFALSE, Double_t *w=0);
void Approxin(TGraph *grin, Int_t iKind, Double_t &Ylow, Double_t &Yhigh, Int_t rule, Int_t iTies);
void Smoothin(TGraph *grin);
static Double_t Approx1(Double_t v, Double_t f, Double_t *x, Double_t *y, Int_t n, Int_t iKind, Double_t Ylow, Double_t Yhigh);
void Lowess(Double_t *x, Double_t *y, Int_t n, Double_t *ys, Double_t span, Int_t iter, Double_t delta);
static void Lowest(Double_t *x, Double_t *y, Int_t n, Double_t &xs,
Double_t &ys, Int_t nleft, Int_t nright, Double_t *w, Bool_t userw, Double_t *rw, Bool_t &ok);
static Int_t Rcmp(Double_t x, Double_t y);
static void Psort(Double_t *x, Int_t n, Int_t k);
static void Rank(Int_t n, Double_t *a, Int_t *index, Int_t *rank, Bool_t down=kTRUE);
static void BDRksmooth(Double_t *x, Double_t *y, Int_t n,
Double_t *xp, Double_t *yp, Int_t np, Int_t kernel, Double_t bw);
static void BDRsupsmu(Int_t n, Double_t *x, Double_t *y, Double_t *w, Int_t iper,
Double_t span, Double_t alpha, Double_t *smo, Double_t *sc);
static void BDRsmooth(Int_t n, Double_t *x, Double_t *y, Double_t *w,
Double_t span, Int_t iper, Double_t vsmlsq, Double_t *smo, Double_t *acvr);
ClassDef(TGraphSmooth,1) //Graph Smoother
};
#endif
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