Double_t sig = (str.IsFloat()) ? str.Atof() : 0;
nsigma[i] = sig;
}
-
+ delete sigmasTokens;
+
TString drawStr(drawCommand);
Bool_t dangerousToDraw = drawStr.Contains(":") || drawStr.Contains(">>");
if (dangerousToDraw) {
Double_t sig = (str.IsFloat()) ? str.Atof() : 0;
nsigma[i] = sig;
}
-
+ delete sigmasTokens;
+
if (plotMean) {
cutHistoMean = AliTPCCalibViewer::SigmaCut(htemp, mean, sigma, sigmaMax, sigmaStep, pm);
if (cutHistoMean) {
Double_t sig = (str.IsFloat()) ? str.Atof() : 0;
nsigma[i] = sig;
}
+ delete sigmasTokens;
if (plotMean) {
for (Int_t i = 0; i < entries; i++) {
Double_t sig = (str.IsFloat()) ? str.Atof() : 0;
nsigma[i] = sig;
}
-
+ delete sigmasTokens;
+
TLegend * legend = new TLegend(.7,.7, .99, .99, "Integrated histogram");
//fListOfObjectsToBeDeleted->Add(legend);
TH1F *integralHistoMean = 0;
Double_t sig = (str.IsFloat()) ? str.Atof() : 0;
nsigma[i] = sig;
}
-
+ delete sigmasTokens;
+
TLegend * legend = new TLegend(.7,.7, .99, .99, "Integrated histogram");
//fListOfObjectsToBeDeleted->Add(legend);
shist->SetNameTitle("Cumulative","Cumulative S(t, #mu, #sigma)");
shist->Draw();
- return macro_example_canvas_Integrate;
}
End_Macro
*/
fitter->ClearPoints();
Int_t entries = Draw(drawStr.Data(), cutStr.Data(), "goff");
- if (entries == -1) return new TString("An ERROR has occured during fitting!");
+ if (entries == -1) {
+ delete formulaTokens;
+ return new TString("An ERROR has occured during fitting!");
+ }
Double_t **values = new Double_t*[dim+1] ;
for (Int_t i = 0; i < dim + 1; i++){
if (entries != centries) {
delete [] values;
+ delete formulaTokens;
return new TString("An ERROR has occured during fitting!");
}
values[i] = new Double_t[entries];
}
delete fIn;
}
+ delete arrFileLine;
}