symbol lookup error: /lib64/libAfterImage.so.0: undefined symbol:

#include <fstream>
TH1S h1(”name”, ”title”, 150, -10, 20);
ifstream data(”filename.dat”);
double x;
while (data >> x) h1.Fill(x);
data.close();

double cola, colb, colc;
ifstream in(file);
while(!in.eof()){
in >> cola;
in >> colb;
in >> colc;
}

TGraphErrors *graph = new TGraphErrors("hoge.txt", "%lg %lg");
graph->SetMarkerStyle(kCircle);
graph->SetMarkerColor(2);

graph->SetTitle("simulation data dayo");
graph->GetXaxis()->SetTitle("Xaxis-no-label");
graph->GetYaxis()->SetTitle("Yaxis-no-label");
graph->Draw("AP");
c1->Print("hoge.png");

graph->GetN()

graph->Print()

for(int index = 0;index < double >GetN();index++){
double x = graph->GetX()[index];
double xerr = graph->GetErrorX(index);
double y = graph->GetY()[index];
double yerr = graph->GetErrorY(index);
}

for (int i=0; i>graph->GetN();i++) graph>GetY()[i] *= 100;

TMultiGraph *mg = new TMultiGraph();
mg->Add(graph1);
mg->Add(graph2);
mg->Draw("LP");
c1->BuildLegend();

gStyle->SetPalette(1);

TH1D *h2 = new TH1D("hoge","", nbin, min, max);

h2->SetName("NameNamaName");
h2->SetTitle("TitleTitleTitle");

TH1D *cdf = new TH1D("cdf","", nbin, min*0.99, max*1.01);
int total = 0;
for (int i=nbin-1;i>0;i--){
total += h1->GetBinContent(i);
for (int k=0;k<total;k++){
cdf->AddBinContent(i);
}
}

TH1D *h1 = new TH1D("histogram","", nbin, min*0.99, max*1.01);
h1->SetLineColor(2);
h1->SetLineWidth(2);
h1->GetXaxis()->SetLabelSize(0.08);
h1->GetYaxis()->SetLabelSize(0.08);

TH1D h1("","", 40, min*0.99, max*1.01);
h1->SetLineWidth(6);

TF1 f1("f1","TMath::Power(x, [0]/2.0-1) * exp(-x/2.0) / TMath::Power(2.0, [0]/2.0) / TMath::Gamma([0]/2.0) * [1] + [2]");
f1.SetParameters(max/2, 8000);
f1->SetLineColor(2);
f1->SetLineWidth(2);
h1.Fit("f1");

#splitline{foo}{hoge}

double ROOT::Math::normal_cdf_c (double x, double sigma=1, double x0=0)
Complement of the cumulative distribution function of the normal (Gaussian) distribution (upper tail).

double ROOT::Math::normal_cdf (double x, double sigma=1, double x0=0)
Cumulative distribution function of the normal (Gaussian) distribution (lower tail).

void root_gumble(){
gROOT->Reset();
TCanvas *c1 = new TCanvas("name", "title", 0, 0, 1080, 720);
c1->SetGridx();
c1->SetGridy();

Double_t xmin = -5.0;
Double_t xmax = 20.0;

TF1 *f1 = new TF1("f1", pdfgumble, xmin,xmax, 4);// xmin, xmax, number of parameter
f1->SetParameters(1, 2, 1, 0.0);
f1->SetNpx(500);
f1->SetLineColor(1);
f1->Draw("L");

TF1 *f2 = new TF1("f2", pdfgumble, xmin,xmax, 4); // xmin, xmax, number of parameter
f2->SetParameters(0.5, 2.0, 1, 0);
f2->SetNpx(500);
f2->SetLineColor(2);
f2->Draw("Same");

TF1 *f3 = new TF1("f3", pdfgumble, xmin,xmax, 4); // xmin, xmax, number of parameter
f3->SetParameters(1.5, 3.0, 1, 0);
f3->SetNpx(500);
f3->SetLineColor(3);
f3->Draw("Same");

TF1 *f4 = new TF1("f4", pdfgumble, xmin,xmax, 4); // xmin, xmax, number of parameter
f4->SetParameters(3.0, 4.0, 1, 0);
f4->SetNpx(500);
f4->SetLineColor(4);
f4->Draw("Same");

TF1 *f5 = new TF1("f5", pdfgumble, xmin,xmax, 4); // xmin, xmax, number of parameter
f5->SetParameters(3.0, 6.0, 1, 0);
f5->SetNpx(500);
f5->SetLineColor(6);
f5->Draw("Same");

// set TLegend
leg = new TLegend(0.6, 0.7, 0.9, 0.89, "Legend");
//leg->SetFillStyle(0); // or leg->SetFillColor(0); // white paint
leg->SetFillColor(0);
leg->SetTextSize(0.04);
leg->AddEntry(f1, "a=0.5, b=2.0", "l");
leg->AddEntry(f2, "a=1.0, b=2.0", "l");
leg->AddEntry(f3, "a=1.5, b=3.0", "l");
leg->AddEntry(f4, "a=3.0, b=4.0", "l");
leg->AddEntry(f5, "a=3.0, b=6.0", "l");
leg->Draw();

f1->SetTitle("pdf of Gumble distribution");
c1->Print("root_gumble_op.pdf");
}

//definition of myfunc
Double_t pdfgumble (Double_t *x, Double_t *para){
return para[2]/para[1]*exp(-(x[0]-para[0])/para[1])*exp(-exp(-(x[0]-para[0])/para[1])) + para[3];
}

root -b root_gumble.cc

TCanvas *c1 = new TCanvas("name", "title", 0, 0, 1080, 720);

c1->SetGridx();
c1->SetGridy();

TF1 *f1 = new TF1("f1", pdfgumble, xmin,xmax, 4);// xmin, xmax, number of parameter
// SetParameters と SetParameter は別
f1->SetParameters(1, 2, 1, 0.0);
f1->SetNpx(500);
f1->SetLineColor(1);
f1->Draw("L");

//definition of myfunc
Double_t pdfgumble (Double_t *x, Double_t *para){
return para[2]/para[1]*exp(-(x[0]-para[0])/para[1])*exp(-exp(-(x[0]-para[0])/para[1])) + para[3];
}

TF1 *f1 = new TF1("f1", "10*sin(2*5*x)", xmin,xmax, 4);// xmin, xmax, number of parameter
f1->SetParameters(1, 2, 1, 0.0)
f1->SetNpx(500);
f1->SetLineColor(1);
f1->Draw("L");

f.FixParameter(1, 5.0); //パラメーターを動かさない
// 1はparameterの通し番号
// そのパラメーターを5.0に固定する
f.SetParLimits(1, 1.0, 3.0); //パラメーターの変化させる範囲を指定できる
1は通し番号、1.0, 3.0はそれぞれ最小値と最大値

f5.SetParNames("A", "#theta", "#mu", "#gamma");

gStyle->SetStatFontSize(0.06);

//To make sure SetStatFontSize() does work, you need next statement:
gStyle->SetStatW(0.7);

double para0 = f1->GetParameter(0);
double para1 = f1->GetParameter(1);
double para2 = f1->GetParameter(2);

TF1 *fit = h2->GetFunction("f1");
Double_t chi2 = fit->GetChisquare();
Int_t dof = fit->GetNDF();

TF1 *f5 = new TF1("f5","[0] * x + [1]");

double x=5;
fprintf(stderr, "f(%f) = %f\n", x, f5->Eval(x));

f5->SetParameters(1.2, 500);
fprintf(stderr, "f(%f) = %f\n", x, f5->Eval(x));

{
#include <fstream.h>
#include <string.h>
#include <TMath.h>

TCanvas *c1 = new TCanvas("name", "title", 0, 0, 1080, 720);
gROOT->SetStyle("Plain");

char fname_mic[80] = "data_gauss.txt";
char fname_mic_bg[80] = "data_rayleigh.txt";
char fname_picture[80] = "result_for_blog.png";

Int_t nbin = 50;

Double_t mic, mic_bg;
Double_t x, y;


TH1D *h1 = new TH1D("a", "", nbin, -5, 5);
TH1D *h2 = new TH1D("b", "", nbin, 0, 5);


ifstream fp(fname_mic);
while(fp >> x){
h1 -> Fill(x);
}
fp.close();

ifstream fp(fname_mic_bg);
while(fp >> y){
h2 -> Fill(y);
}
fp.close();

// set y maximum
//h2 -> SetMaximum(40);

// show histogram
h1 -> SetLineColor(2);
h1 -> Draw();
h2 -> SetLineColor(4);
h2 -> Draw("Same");

// remove right profile box
gStyle->SetOptStat(0);

// set TLegend
leg = new TLegend(0.6, 0.7, 0.9, 0.89, "Legend");
leg->SetFillStyle(0); // or leg->SetFillColor(0); // white paint
leg->SetTextSize(0.04);
leg->SetHeader("The Legend Title");
leg->AddEntry(h1, "gauss data","fl");
leg->AddEntry(h2, "rayleigh data", "lf");
leg->Draw();

c1.Print(fname_picture);
exit(0);
}

legend->AddEntry((TObject*)0,"hoge","");

legend->AddEntry((TObject*)0,"#kern[-0.3]{hoge}","");

h1->GetXaxis()->SetRange(0, 2000);

TGraphErrors *graph = new TGraphErrors("hoge.txt", "%lg %lg");
graph->GetXaxis()->SetLimits(0.,5.);

TH1D *h1 = new TH1D("a", "; b", 100, 0 ,1);
h1 -> SetMaximum(ymax);
h1 > SetMinimum(ymin);

TH1D *h1 = new TH1D("name","title",nbins,xmin,xmax);

  nxbins = h1->GetXaxis()->GetNbins();
  xmin   = h1->GetXaxis()->GetXmin();
  xmax   = h1->GetXaxis()->GetXmax();

  xc = h1->GetXaxis()->GetBinCenter(i); // center of i-th bin
  z = h1->GetBinContent(i) // content of i-th bin

h1->GetMean();
h1->GetRMS();

h1->FindBin(500);

gStyle->SetOptStat();
gStyle->SetOptFit(11);
gStyle->SetStatFontSize(0.06);

gPad->SetLogy(1);

gPad->SetLogx(1);

c1->GetPad(1)->SetLogy();
または
c1->cd(1)->SetLogy();

gStyle->SetOptLogx(1);
gStyle->SetOptLogy(1);