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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) 2006, Rene Brun and Fons Rademakers. *
6 * All rights reserved. *
7 * *
8 * For the licensing terms see $ROOTSYS/LICENSE. *
9 * For the list of contributors see $ROOTSYS/README/CREDITS. *
10 *************************************************************************/
11
12/******************************************************************************
13* Copyright(c) 2001-2006, Dr. Christian Stratowa, Vienna, Austria. *
14* Author: Christian Stratowa with help from Rene Brun. *
15* *
16* Algorithms for smooth regression adapted from: *
17* R: A Computer Language for Statistical Data Analysis *
18******************************************************************************/
19
20#ifndef ROOT_TGraphSmooth
21#define ROOT_TGraphSmooth
22
23//////////////////////////////////////////////////////////////////////////
24// //
25// TGraphSmooth //
26// //
27// Class for different regression smoothers //
28// //
29//////////////////////////////////////////////////////////////////////////
30
31#include "TGraph.h"
32
33
34class TGraphSmooth: public TNamed {
35
36private:
37 TGraphSmooth(const TGraphSmooth&); // Not implented
38 TGraphSmooth& operator=(const TGraphSmooth&); // Not implented
39
40protected:
41 Int_t fNin; ///< Number of input points
42 Int_t fNout; ///< Number of output points
43 TGraph *fGin; ///< Input graph
44 TGraph *fGout; ///< Output graph
45 Double_t fMinX; ///< Minimum value of array X
46 Double_t fMaxX; ///< Maximum value of array X
47
48public :
50 TGraphSmooth(const char *name);
51// TGraphSmooth(const TGraphSmooth &smoothReg); //??
52 ~TGraphSmooth() override;
53
54 TGraph *Approx(TGraph *grin, Option_t *option="linear", Int_t nout=50, Double_t *xout=nullptr,
55 Double_t yleft=0, Double_t yright=0, Int_t rule=0, Double_t f=0, Option_t *ties="mean");
56 TGraph *SmoothKern(TGraph *grin, Option_t *option="normal", Double_t bandwidth=0.5, Int_t nout=100, Double_t *xout=nullptr);
57 TGraph *SmoothLowess(TGraph *grin, Option_t *option="",Double_t span=0.67, Int_t iter = 3, Double_t delta = 0);
58 TGraph *SmoothSuper(TGraph *grin, Option_t *option="", Double_t bass = 0, Double_t span=0, Bool_t isPeriodic = kFALSE, Double_t *w=nullptr);
59
60 void Approxin(TGraph *grin, Int_t iKind, Double_t &Ylow, Double_t &Yhigh, Int_t rule, Int_t iTies);
61 void Smoothin(TGraph *grin);
62 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);
63 void Lowess(Double_t *x, Double_t *y, Int_t n, Double_t *ys, Double_t span, Int_t iter, Double_t delta);
64 static void Lowest(Double_t *x, Double_t *y, Int_t n, Double_t &xs,
65 Double_t &ys, Int_t nleft, Int_t nright, Double_t *w, Bool_t userw, Double_t *rw, Bool_t &ok);
66 static Int_t Rcmp(Double_t x, Double_t y);
67 static void Psort(Double_t *x, Int_t n, Int_t k);
68 static void Rank(Int_t n, Double_t *a, Int_t *index, Int_t *rank, Bool_t down=kTRUE);
69 static void BDRksmooth(Double_t *x, Double_t *y, Int_t n,
70 Double_t *xp, Double_t *yp, Int_t np, Int_t kernel, Double_t bw);
71 static void BDRsupsmu(Int_t n, Double_t *x, Double_t *y, Double_t *w, Int_t iper,
72 Double_t span, Double_t alpha, Double_t *smo, Double_t *sc);
73 static void BDRsmooth(Int_t n, Double_t *x, Double_t *y, Double_t *w,
74 Double_t span, Int_t iper, Double_t vsmlsq, Double_t *smo, Double_t *acvr);
75
76 ClassDefOverride(TGraphSmooth,1) //Graph Smoother
77};
78
79#endif
#define f(i)
Definition RSha256.hxx:104
#define a(i)
Definition RSha256.hxx:99
constexpr Bool_t kFALSE
Definition RtypesCore.h:94
constexpr Bool_t kTRUE
Definition RtypesCore.h:93
const char Option_t
Definition RtypesCore.h:66
#define ClassDefOverride(name, id)
Definition Rtypes.h:346
Option_t Option_t option
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t np
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t index
char name[80]
Definition TGX11.cxx:110
A helper class to smooth TGraph.
Double_t fMinX
Minimum value of array X.
TGraph * fGin
Input graph.
Double_t fMaxX
Maximum value of array X.
static Int_t Rcmp(Double_t x, Double_t y)
Static function if (ISNAN(x)) return 1; if (ISNAN(y)) return -1;.
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.
~TGraphSmooth() override
GraphSmooth destructor.
TGraph * SmoothSuper(TGraph *grin, Option_t *option="", Double_t bass=0, Double_t span=0, Bool_t isPeriodic=kFALSE, Double_t *w=nullptr)
Smooth data with Super smoother.
static void Rank(Int_t n, Double_t *a, Int_t *index, Int_t *rank, Bool_t down=kTRUE)
static function
Int_t fNout
Number of output points.
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.
Int_t fNin
Number of input points.
void Smoothin(TGraph *grin)
Sort input data points.
TGraph * SmoothKern(TGraph *grin, Option_t *option="normal", Double_t bandwidth=0.5, Int_t nout=100, Double_t *xout=nullptr)
Smooth data with Kernel smoother.
TGraph * Approx(TGraph *grin, Option_t *option="linear", Int_t nout=50, Double_t *xout=nullptr, Double_t yleft=0, Double_t yright=0, Int_t rule=0, Double_t f=0, Option_t *ties="mean")
Approximate 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 * fGout
Output graph.
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.
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