33   for (
int i = 0; i < 
n; ++i) {
 
   34      x[i] = 
r.Uniform(0,10);
 
   35      y[i] = 
r.Uniform(0,10);
 
   36      z[i] = 
r.Uniform(0,10);
 
   37      v[i] = 
sin(
x[i] ) + 
cos(
y[i]) + z[i] + 
r.Gaus(0,ev);
 
   43   for(
int i = 0; i < 
n; ++i) {
 
   48      data.Add(xx, 
v[i], ev);
 
   51   TF3 * f3 = 
new TF3(
"f3",
"[0] * sin(x) + [1] * cos(y) + [2] * z",0,10,0,10,0,10);
 
   66      double prob = res.
Prob();
 
   68         Error(
"exampleFit3D",
"Bad data fit - fit p-value is %f",prob);
 
   70         std::cout << 
"Good fit : p-value  = " << prob << std::endl;
 
   74      Error(
"exampleFit3D",
"3D fit failed");
 
void Error(const char *location, const char *msgfmt,...)
Use this function in case an error occurred.
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t r
Class describing the binned data sets : vectors of x coordinates, y values and optionally error on y ...
class containing the result of the fit and all the related information (fitted parameter values,...
void Print(std::ostream &os, bool covmat=false) const
print the result and optionally covariance matrix and correlations
double Prob() const
p value of the fit (chi2 probability)
Fitter class, entry point for performing all type of fits.
const FitResult & Result() const
get fit result
bool Fit(const Data &data, const Function &func, const ROOT::EExecutionPolicy &executionPolicy=ROOT::EExecutionPolicy::kSequential)
fit a data set using any generic model function If data set is binned a least square fit is performed...
void SetFunction(const IModelFunction &func, bool useGradient=false)
Set the fitted function (model function) from a parametric function interface.
Class to Wrap a ROOT Function class (like TF1) in a IParamMultiFunction interface of multi-dimensions...
virtual void SetParameters(const Double_t *params)
virtual void SetFitResult(const ROOT::Fit::FitResult &result, const Int_t *indpar=nullptr)
Set the result from the fit parameter values, errors, chi2, etc... Optionally a pointer to a vector (...
A 3-Dim function with parameters.
Random number generator class based on the maximally quidistributed combined Tausworthe generator by ...
RVec< PromoteType< T > > cos(const RVec< T > &v)
RVec< PromoteType< T > > sin(const RVec< T > &v)