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TGraphSmooth.h
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1// @(#)root/hist:$Id$
2// Author: Christian Stratowa 30/09/2001
3
4/******************************************************************************
5* Copyright(c) 2001- , Dr. Christian Stratowa, Vienna, Austria. *
6* Author: Christian Stratowa with help from Rene Brun. *
7* *
8* Algorithms for smooth regression adapted from: *
9* R: A Computer Language for Statistical Data Analysis *
10* Copyright (C) 1996 Robert Gentleman and Ross Ihaka *
11* Copyright (C) 1999-2001 Robert Gentleman, Ross Ihaka and the *
12* R Development Core Team *
13* R is free software, for licensing see the GNU General Public License *
14* http://www.ci.tuwien.ac.at/R-project/welcome.html *
15* *
16* Based on: "The ROOT System", All rights reserved. *
17* Authors: Rene Brun and Fons Rademakers. *
18* For the licensing terms of "The ROOT System" see $ROOTSYS/AA_LICENSE. *
19* For the list of contributors to "The ROOT System" see $ROOTSYS/AA_CREDITS. *
20******************************************************************************/
21
22#ifndef ROOT_TGraphSmooth
23#define ROOT_TGraphSmooth
24
25//////////////////////////////////////////////////////////////////////////
26// //
27// TGraphSmooth //
28// //
29// Class for different regression smoothers //
30// //
31//////////////////////////////////////////////////////////////////////////
32
33#include "TGraph.h"
34
35
36class TGraphSmooth: public TNamed {
37
38private:
39 TGraphSmooth(const TGraphSmooth&); // Not implented
40 TGraphSmooth& operator=(const TGraphSmooth&); // Not implented
41
42protected:
43 Int_t fNin; //Number of input points
44 Int_t fNout; //Number of output points
45 TGraph *fGin; //Input graph
46 TGraph *fGout; //Output graph
47 Double_t fMinX; //Minimum value of array X
48 Double_t fMaxX; //Maximum value of array X
49
50public :
52 TGraphSmooth(const char *name);
53// TGraphSmooth(const TGraphSmooth &smoothReg); //??
54 virtual ~TGraphSmooth();
55
56 TGraph *Approx(TGraph *grin, Option_t *option="linear", Int_t nout=50, Double_t *xout=0,
57 Double_t yleft=0, Double_t yright=0, Int_t rule=0, Double_t f=0, Option_t *ties="mean");
58 TGraph *SmoothKern(TGraph *grin, Option_t *option="normal", Double_t bandwidth=0.5, Int_t nout=100, Double_t *xout=0);
59 TGraph *SmoothLowess(TGraph *grin, Option_t *option="",Double_t span=0.67, Int_t iter = 3, Double_t delta = 0);
60 TGraph *SmoothSuper(TGraph *grin, Option_t *option="", Double_t bass = 0, Double_t span=0, Bool_t isPeriodic = kFALSE, Double_t *w=0);
61
62 void Approxin(TGraph *grin, Int_t iKind, Double_t &Ylow, Double_t &Yhigh, Int_t rule, Int_t iTies);
63 void Smoothin(TGraph *grin);
64 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);
65 void Lowess(Double_t *x, Double_t *y, Int_t n, Double_t *ys, Double_t span, Int_t iter, Double_t delta);
66 static void Lowest(Double_t *x, Double_t *y, Int_t n, Double_t &xs,
67 Double_t &ys, Int_t nleft, Int_t nright, Double_t *w, Bool_t userw, Double_t *rw, Bool_t &ok);
68 static Int_t Rcmp(Double_t x, Double_t y);
69 static void Psort(Double_t *x, Int_t n, Int_t k);
70 static void Rank(Int_t n, Double_t *a, Int_t *index, Int_t *rank, Bool_t down=kTRUE);
71 static void BDRksmooth(Double_t *x, Double_t *y, Int_t n,
72 Double_t *xp, Double_t *yp, Int_t np, Int_t kernel, Double_t bw);
73 static void BDRsupsmu(Int_t n, Double_t *x, Double_t *y, Double_t *w, Int_t iper,
74 Double_t span, Double_t alpha, Double_t *smo, Double_t *sc);
75 static void BDRsmooth(Int_t n, Double_t *x, Double_t *y, Double_t *w,
76 Double_t span, Int_t iper, Double_t vsmlsq, Double_t *smo, Double_t *acvr);
77
78 ClassDef(TGraphSmooth,1) //Graph Smoother
79};
80
81#endif
#define f(i)
Definition RSha256.hxx:104
#define a(i)
Definition RSha256.hxx:99
const Bool_t kFALSE
Definition RtypesCore.h:92
double Double_t
Definition RtypesCore.h:59
const Bool_t kTRUE
Definition RtypesCore.h:91
const char Option_t
Definition RtypesCore.h:66
#define ClassDef(name, id)
Definition Rtypes.h:325
char name[80]
Definition TGX11.cxx:110
A helper class to smooth TGraph.
Double_t fMinX
TGraph * fGin
Double_t fMaxX
static Int_t Rcmp(Double_t x, Double_t y)
Static function if (ISNAN(x)) return 1; if (ISNAN(y)) return -1;.
TGraph * SmoothKern(TGraph *grin, Option_t *option="normal", Double_t bandwidth=0.5, Int_t nout=100, Double_t *xout=0)
Smooth data with Kernel smoother.
TGraph * SmoothLowess(TGraph *grin, Option_t *option="", Double_t span=0.67, Int_t iter=3, Double_t delta=0)
Smooth data with Lowess smoother.
virtual ~TGraphSmooth()
GraphSmooth destructor.
static void Rank(Int_t n, Double_t *a, Int_t *index, Int_t *rank, Bool_t down=kTRUE)
static function
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)
Smooth data with specified kernel.
void Smoothin(TGraph *grin)
Sort input data points.
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)
Friedmanns super smoother (Friedman, 1984).
static void Psort(Double_t *x, Int_t n, Int_t k)
Static function based on R function rPsort: adapted to C++ by Christian Stratowa (R source file: R_so...
TGraphSmooth(const TGraphSmooth &)
TGraphSmooth & operator=(const 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")
Approximate data points.
TGraph * fGout
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)
Fit value at x[i] Based on R function lowest: Translated to C++ by C.
TGraph * SmoothSuper(TGraph *grin, Option_t *option="", Double_t bass=0, Double_t span=0, Bool_t isPeriodic=kFALSE, Double_t *w=0)
Smooth data with Super smoother.
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)
Function for super smoother Based on R function supsmu: Translated to C++ by C.
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)
Approximate one data point.
void Lowess(Double_t *x, Double_t *y, Int_t n, Double_t *ys, Double_t span, Int_t iter, Double_t delta)
Lowess regression smoother.
void Approxin(TGraph *grin, Int_t iKind, Double_t &Ylow, Double_t &Yhigh, Int_t rule, Int_t iTies)
Sort data points and eliminate double x values.
A TGraph is an object made of two arrays X and Y with npoints each.
Definition TGraph.h:41
The TNamed class is the base class for all named ROOT classes.
Definition TNamed.h:29
Double_t y[n]
Definition legend1.C:17
Double_t x[n]
Definition legend1.C:17
const Int_t n
Definition legend1.C:16