// param,covar - parameters and covariance matrix of the fit
// mean,sigma - new measurement uning which the fit is updated
//
+
TObjArray *array0= input.Tokenize("++");
TObjArray *array1= filter.Tokenize("++");
TMatrixD paramM(param.GetNrows(),1);
for (Int_t i=0; i<=array0->GetEntries(); i++){paramM(i,0)=param(i);}
- for (Int_t i=0; i<array0->GetEntries(); i++){
- Bool_t isOK=kTRUE;
- TString str(array0->At(i)->GetName());
- for (Int_t j=0; j<array1->GetEntries(); j++){
- if (str.Contains(array1->At(j)->GetName())==0) isOK=kFALSE;
- }
- if (isOK) {
- TStatToolkit::Update1D(mean, sigma, i+1, paramM, covar);//
+ if (filter.Length()==0){
+ TStatToolkit::Update1D(mean, sigma, 0, paramM, covar);//
+ }else{
+ for (Int_t i=0; i<array0->GetEntries(); i++){
+ Bool_t isOK=kTRUE;
+ TString str(array0->At(i)->GetName());
+ for (Int_t j=0; j<array1->GetEntries(); j++){
+ if (str.Contains(array1->At(j)->GetName())==0) isOK=kFALSE;
+ }
+ if (isOK) {
+ TStatToolkit::Update1D(mean, sigma, i+1, paramM, covar);//
+ }
}
}
for (Int_t i=0; i<=array0->GetEntries(); i++){
}
}
-TString TStatToolkit::MakeFitString(const TString &input, const TVectorD ¶m, const TMatrixD & covar){
+TString TStatToolkit::MakeFitString(const TString &input, const TVectorD ¶m, const TMatrixD & covar, Bool_t verbose){
//
//
//
TObjArray *array0= input.Tokenize("++");
- TString result="(0.0";
+ TString result=Form("(%f",param[0]);
+ printf("%f\t%f\t\n", param[0], TMath::Sqrt(covar(0,0)));
for (Int_t i=0; i<array0->GetEntries(); i++){
TString str(array0->At(i)->GetName());
result+="+"+str;
result+=Form("*(%f)",param[i+1]);
- printf("%f\t%f\t%s\n", param[i+1], TMath::Sqrt(covar(i+1,i+1)),str.Data());
+ if (verbose) printf("%f\t%f\t%s\n", param[i+1], TMath::Sqrt(covar(i+1,i+1)),str.Data());
}
result+="-0.)";
return result;
Double_t *tempArray = new Double_t[entries];
Double_t count = 0.5;
- vector<Int_t> vrun;
+ Double_t *vrun = new Double_t[entries];
+ Int_t icount=0;
+ //
tempArray[index[0]] = count;
- vrun.push_back(graph->GetX()[index[0]]);
+ vrun[0] = graph->GetX()[index[0]];
for(Int_t i=1;i<entries;i++){
if(graph->GetX()[index[i]]==graph->GetX()[index[i-1]])
tempArray[index[i]] = count;
else if(graph->GetX()[index[i]]!=graph->GetX()[index[i-1]]){
count++;
+ icount++;
tempArray[index[i]] = count;
- vrun.push_back(graph->GetX()[index[i]]);
+ vrun[icount]=graph->GetX()[index[i]];
}
}
Char_t xName[50];
for(Int_t i=0;i<count;i++){
- snprintf(xName,50,"%d",vrun.at(i));
+ snprintf(xName,50,"%d",Int_t(vrun[i]));
graphNew->GetXaxis()->SetBinLabel(i+1,xName);
}
graphNew->GetHistogram()->SetTitle("");
delete [] tempArray;
delete [] index;
delete [] newBins;
+ delete [] vrun;
return graphNew;
}