38   h2->SetTitle(
"Weighted Histogram");
 
   61   h2->SetBinContent(1, 2.20173025 );
 
   62   h2->SetBinContent(2, 3.30143857);
 
   63   h2->SetBinContent(3, 2.5892849);
 
   64   h2->SetBinContent(4, 2.99990201);
 
   65   h2->SetBinContent(5, 4.92877054);
 
   66   h2->SetBinContent(6, 8.33036995);
 
   67   h2->SetBinContent(7, 6.95084763);
 
   68   h2->SetBinContent(8, 15.206357);
 
   69   h2->SetBinContent(9, 23.9236012);
 
   70   h2->SetBinContent(10, 44.3848114);
 
   71   h2->SetBinContent(11, 49.4465599);
 
   72   h2->SetBinContent(12, 25.1868858);
 
   73   h2->SetBinContent(13, 16.3129692);
 
   74   h2->SetBinContent(14, 13.0289612);
 
   75   h2->SetBinContent(15, 16.7857609);
 
   76   h2->SetBinContent(16, 22.9914703);
 
   77   h2->SetBinContent(17, 30.5279255);
 
   78   h2->SetBinContent(18, 12.5252123);
 
   79   h2->SetBinContent(19, 16.4104557);
 
   80   h2->SetBinContent(20, 7.86067867);
 
   81   h2->SetBinError(1, 0.38974303 );
 
   82   h2->SetBinError(2, 0.536510944);
 
   83   h2->SetBinError(3, 0.529702604);
 
   84   h2->SetBinError(4, 0.642001867);
 
   85   h2->SetBinError(5, 0.969341516);
 
   86   h2->SetBinError(6, 1.47611344);
 
   87   h2->SetBinError(7, 1.69797957);
 
   88   h2->SetBinError(8, 3.28577447);
 
   89   h2->SetBinError(9, 5.40784931);
 
   90   h2->SetBinError(10, 9.10106468);
 
   91   h2->SetBinError(11, 9.73541737);
 
   92   h2->SetBinError(12, 5.55019951);
 
   93   h2->SetBinError(13, 3.57914758);
 
   94   h2->SetBinError(14, 2.77877331);
 
   95   h2->SetBinError(15, 3.23697519);
 
   96   h2->SetBinError(16, 4.3608489);
 
   97   h2->SetBinError(17, 5.77172089);
 
   98   h2->SetBinError(18, 3.38666105);
 
   99   h2->SetBinError(19, 2.98861837);
 
  100   h2->SetBinError(20, 1.58402085);
 
  110   for (
Int_t i=0; i<
n; i++) 
x[i]= 4.+i*12./20.+12./40.;
 
  112   resgr->GetXaxis()->SetRangeUser(4,16);
 
  113   resgr->GetYaxis()->SetRangeUser(-3.5,3.5);
 
  114   resgr->GetYaxis()->SetTitle(
"Normalized Residuals");
 
  115   resgr->SetMarkerStyle(21);
 
  116   resgr->SetMarkerColor(2);
 
  117   resgr->SetMarkerSize(.9);
 
  118   resgr->SetTitle(
"Normalized Residuals");
 
  121   TF1 *
f = 
new TF1(
"f",
"TMath::Gaus(x,0,1)",-10,10);
 
  123   qqplot->SetMarkerStyle(20);
 
  124   qqplot->SetMarkerColor(2);
 
  125   qqplot->SetMarkerSize(.9);
 
  126   qqplot->SetTitle(
"Q-Q plot of Normalized Residuals");
 
  141   h2->SetMarkerColor(4);
 
  142   h2->SetMarkerStyle(20);
 
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
virtual void SetMarkerColor(Color_t mcolor=1)
Set the marker color.
virtual void SetMarkerStyle(Style_t mstyle=1)
Set the marker style.
This class allows to draw quantile-quantile plots.
A TGraph is an object made of two arrays X and Y with npoints each.
1-D histogram with a double per channel (see TH1 documentation)
void SetTitle(const char *title) override
Change/set the title.
void Draw(Option_t *option="") override
Draw this histogram with options.
virtual void SetBinContent(Int_t bin, Double_t content)
Set bin content see convention for numbering bins in TH1::GetBin In case the bin number is greater th...
virtual Double_t Chi2Test(const TH1 *h2, Option_t *option="UU", Double_t *res=nullptr) const
test for comparing weighted and unweighted histograms.
virtual void SetEntries(Double_t n)