doc/v624/Function_8C.html

using namespace ROOT::R;

void Function()

{

   auto &r = ROOT::R::TRInterface::Instance();

   r.SetVerbose(1);


   // Defining functions to be used from R

   TRFunctionImport c("c");

   TRFunctionImport rlist("list");

   TRFunctionImport asformula("as.formula");

   TRFunctionImport nls("nls");

   TRFunctionImport confint("confint");

   TRFunctionImport summary("summary");

   TRFunctionImport print("print");

   TRFunctionImport plot("plot");

   TRFunctionImport lines("lines");

   TRFunctionImport devnew("dev.new");

   TRFunctionImport devoff("dev.off");

   TRFunctionImport devcur("dev.cur");

   TRFunctionImport rmin("min");

   TRFunctionImport rmax("max");

   TRFunctionImport seq("seq");

   TRFunctionImport predict("predict");


   r<<"options(device='pdf')";


   // doing the procedure

   TRObject xdata = c(-2,-1.64,-1.33,-0.7,0,0.45,1.2,1.64,2.32,2.9);

   TRObject ydata = c(0.699369,0.700462,0.695354,1.03905,1.97389,2.41143,1.91091,0.919576,-0.730975,-1.42001);


   TRDataFrame data;

   data["xdata"]=xdata;

   data["ydata"]=ydata;


   // fit = nls(ydata ~ p1*cos(p2*xdata) + p2*sin(p1*xdata), start=list(p1=1,p2=0.2))

   TRObject fit = nls(asformula("ydata ~ p1*cos(p2*xdata) + p2*sin(p1*xdata)"),Label["data"]=data, Label["start"]=rlist(Label["p1"]=1,Label["p2"]=0.2));

   print(summary(fit));


   print(confint(fit));


   if (!gROOT->IsBatch()) {

      devnew("Fitting Regression");

      plot(xdata,ydata);


      TRObject xgrid=seq(rmin(xdata),rmax(xdata),Label["len"]=10);

      lines(xgrid,predict(fit,xgrid),Label["col"] = "green");

      devoff(Label["which"] = devcur() );

   }

}

r
ROOT::R::TRInterface & r
Definition: Object.C:4

c
#define c(i)
Definition: RSha256.hxx:101

gROOT
#define gROOT
Definition: TROOT.h:406

Function
Double_t(* Function)(Double_t)
Definition: Functor.C:4

ROOT::R::TRDataFrame
This is a class to create DataFrames from ROOT to R.
Definition: TRDataFrame.h:176

ROOT::R::TRFunctionImport
This is a class to pass functions from ROOT to R.
Definition: TRFunctionImport.h:119

ROOT::R::TRInterface::Instance
static TRInterface & Instance()
static method to get an TRInterface instance reference
Definition: TRInterface.cxx:187

ROOT::R::TRInterface::SetVerbose
void SetVerbose(Bool_t status)
Method to set verbose mode, that produce extra output.
Definition: TRInterface.cxx:134

ROOT::R::TRObject
This is a class to get ROOT's objects from R's objects.
Definition: TRObject.h:70

PyTorch_Generate_CNN_Model.fit
def fit(model, train_loader, val_loader, num_epochs, batch_size, optimizer, criterion, save_best, scheduler)
Definition: PyTorch_Generate_CNN_Model.py:32

PyTorch_Generate_CNN_Model.predict
def predict(model, test_X, batch_size=100)
Definition: PyTorch_Generate_CNN_Model.py:91

ROOT::R
namespace associated R package for ROOT.
Definition: RExports.h:56

ROOT::R::Label
const Rcpp::internal::NamedPlaceHolder & Label