#include "TGraphErrors.h" #include "TGraph2DErrors.h" #include "TCanvas.h" #include "TF2.h" #include "TH1.h" #include "TVirtualFitter.h" #include "TRandom.h" void ConfidenceIntervals() { //Illustrates TVirtualFitter::GetConfidenceIntervals //This method computes confidence intervals for the fitted function //Author: Anna Kreshuk TCanvas *myc = new TCanvas("myc", "Confidence intervals on the fitted function",1200, 500); myc->Divide(3,1); /////1. A graph //Create and fill a graph Int_t ngr = 100; TGraph *gr = new TGraph(ngr); gr->SetName("GraphNoError"); Double_t x, y; Int_t i; for (i=0; i<ngr; i++){ x = gRandom->Uniform(-1, 1); y = -1 + 2*x + gRandom->Gaus(0, 1); gr->SetPoint(i, x, y); } //Create the fitting function TF1 *fpol = new TF1("fpol", "pol1", -1, 1); fpol->SetLineWidth(2); gr->Fit(fpol, "Q"); //Create a TGraphErrors to hold the confidence intervals TGraphErrors *grint = new TGraphErrors(ngr); grint->SetTitle("Fitted line with .95 conf. band"); for (i=0; i<ngr; i++) grint->SetPoint(i, gr->GetX()[i], 0); //Compute the confidence intervals at the x points of the created graph (TVirtualFitter::GetFitter())->GetConfidenceIntervals(grint); //Now the "grint" graph contains function values as its y-coordinates //and confidence intervals as the errors on these coordinates //Draw the graph, the function and the confidence intervals myc->cd(1); grint->SetLineColor(kRed); grint->Draw("ap"); gr->SetMarkerStyle(5); gr->SetMarkerSize(0.7); gr->Draw("psame"); /////2. A histogram myc->cd(2); //Create, fill and fit a histogram Int_t nh=5000; TH1D *h = new TH1D("h", "Fitted gaussian with .95 conf.band", 100, -3, 3); h->FillRandom("gaus", nh); TF1 *f = new TF1("fgaus", "gaus", -3, 3); f->SetLineWidth(2); h->Fit(f, "Q"); h->Draw(); //Create a histogram to hold the confidence intervals TH1D *hint = new TH1D("hint", "Fitted gaussian with .95 conf.band", 100, -3, 3); (TVirtualFitter::GetFitter())->GetConfidenceIntervals(hint); //Now the "hint" histogram has the fitted function values as the //bin contents and the confidence intervals as bin errors hint->SetStats(kFALSE); hint->SetFillColor(2); hint->Draw("e3 same"); /////3. A 2d graph //Create and fill the graph Int_t ngr2 = 100; Double_t z, rnd, e=0.3; TGraph2D *gr2 = new TGraph2D(ngr2); gr2->SetName("Graph2DNoError"); TF2 *f2 = new TF2("f2", "1000*(([0]*sin(x)/x)*([1]*sin(y)/y))+250",-6,6,-6,6); f2->SetParameters(1,1); for (i=0; i<ngr2; i++){ f2->GetRandom2(x,y); // Generate a random number in [-e,e] rnd = 2*gRandom->Rndm()*e-e; z = f2->Eval(x,y)*(1+rnd); gr2->SetPoint(i,x,y,z); } //Create a graph with errors to store the intervals TGraph2DErrors *grint2 = new TGraph2DErrors(ngr2); for (i=0; i<ngr2; i++) grint2->SetPoint(i, gr2->GetX()[i], gr2->GetY()[i], 0); //Fit the graph f2->SetParameters(0.5,1.5); gr2->Fit(f2, "Q"); //Compute the confidence intervals (TVirtualFitter::GetFitter())->GetConfidenceIntervals(grint2); //Now the "grint2" graph contains function values as z-coordinates //and confidence intervals as their errors //draw myc->cd(3); f2->SetNpx(30); f2->SetNpy(30); f2->SetFillColor(kBlue); f2->Draw("surf4"); grint2->SetNpx(20); grint2->SetNpy(20); grint2->SetMarkerStyle(24); grint2->SetMarkerSize(0.7); grint2->SetMarkerColor(kRed); grint2->SetLineColor(kRed); grint2->Draw("E0 same"); grint2->SetTitle("Fitted 2d function with .95 error bars"); myc->cd(); }