// @(#)root/hist:$Id$ // 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 { private: TGraphSmooth(const TGraphSmooth&); // Not implented TGraphSmooth& operator=(const TGraphSmooth&); // Not implented 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