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TRInterface.h
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1// @(#)root/r:$Id$
2// Author: Omar Zapata Omar.Zapata@cern.ch 29/05/2013
3
4/*************************************************************************
5 * Copyright (C) 1995-2021, Rene Brun and Fons Rademakers. *
6 * All rights reserved. *
7 * *
8 * For the licensing terms see $ROOTSYS/LICENSE. *
9 * For the list of contributors see $ROOTSYS/README/CREDITS. *
10 *************************************************************************/
11
12#ifndef ROOT_R_TRInterface
13#define ROOT_R_TRInterface
14
15#include <TRObject.h>
16
17#include <TRDataFrame.h>
18
19#include <TRFunctionExport.h>
20
21#include <TRFunctionImport.h>
22
23#include <TThread.h>
24
25/**
26 @namespace ROOT::R
27 namespace associated R package for ROOT.
28 @defgroup R R Interface for Statistical Computing
29 */
30namespace ROOT {
31 namespace R {
32 /**
33 \class TRInterface
34 ROOT R was implemented using the
35 <A HREF="http://www.r-project.org/">R Project</A> library and the modules
36 <A HREF="http://cran.r-project.org/web/packages/Rcpp/index.html">Rcpp</A> and
37 <A HREF="http://cran.r-project.org/web/packages/RInside/index.html">RInside</A>
38 <h2>Users Guide </h2>
39 <a href="https://oproject.org/pages/ROOT%20R%20Users%20Guide"> https://oproject.org/pages/ROOT R Users Guide</a><br>
40
41 \ingroup R
42 */
43
44
45 /**
46 <center><h2>TRInterface class</h2></center>
47
48 </p>
49 The TRInterface class lets you procces R code from ROOT.<br>
50 You can call R libraries and their functions, plot results in R or ROOT,<br>
51 and use the power of ROOT and R at the same time.<br>
52 It also lets you pass scalars, vectors and matrices from ROOT to R<br>
53 and from R to ROOT using TRObject; but you can to use overloaded opetarors [],<< and >> <br>
54 to work with ROOTR like work with streams of data.<br>
55
56 TRInterface class can not be instantiated directly, but you can create objects using the static methods
57 TRInterface& Instance() and TRInterface* InstancePtr() to create your own objects.<br>
58 <br>
59 </p>
60 Show an example below:
61 Create an exponential fit, the idea is to create a set of numbers x,y with noise from ROOT,
62 pass them to R and fit the data to \f$ x^3 \f$, get the fitted coefficient(power) and plot the data,
63 the known function and the fitted function.
64 \code{.cpp}
65
66 TCanvas *c1 = new TCanvas("c1","Curve Fit",700,500);
67 c1->SetGrid();
68
69 // draw a frame for multiples graphs
70 TMultiGraph *mg = new TMultiGraph();
71
72 // create the first graph (points with gaussian noise)
73 const Int_t n = 24;
74 Double_t x[n] ;
75 Double_t y[n] ;
76 //Generate points along a X^3 with noise
77 TRandom rg;
78 rg.SetSeed(520);
79 for (Int_t i = 0; i < n; i++) {
80 x[i] = rg.Uniform(0, 1);
81 y[i] = TMath::Power(x[i], 3) + rg.Gaus() * 0.06;
82 }
83
84 TGraph *gr1 = new TGraph(n,x,y);
85 gr1->SetMarkerColor(kBlue);
86 gr1->SetMarkerStyle(8);
87 gr1->SetMarkerSize(1);
88 mg->Add(gr1);
89
90 // create second graph
91 TF1 *f_known=new TF1("f_known","pow(x,3)",0,1);
92 TGraph *gr2 = new TGraph(f_known);
93 gr2->SetMarkerColor(kRed);
94 gr2->SetMarkerStyle(8);
95 gr2->SetMarkerSize(1);
96 mg->Add(gr2);
97
98 //passing x and y values to R for fitting
99 ROOT::R::TRInterface &r=ROOT::R::TRInterface::Instance();
100 r["x"]<<TVectorD(n, x);
101 r["y"]<<TVectorD(n, y);
102 //creating a R data frame
103 r<<"ds<-data.frame(x=x,y=y)";
104 //fitting x and y to X^power using Nonlinear Least Squares
105 r<<"m <- nls(y ~ I(x^power),data = ds, start = list(power = 1),trace = T)";
106 //getting the fitted value (power)
107 Double_t power;
108 r["summary(m)$coefficients[1]"]>>power;
109
110 TF1 *f_fitted=new TF1("f_fitted","pow(x,[0])",0,1);
111 f_fitted->SetParameter(0,power);
112 //plotting the fitted function
113 TGraph *gr3 = new TGraph(f_fitted);
114 gr3->SetMarkerColor(kGreen);
115 gr3->SetMarkerStyle(8);
116 gr3->SetMarkerSize(1);
117
118 mg->Add(gr3);
119 mg->Draw("ap");
120
121 //displaying basic results
122 TPaveText *pt = new TPaveText(0.1,0.6,0.5,0.9,"brNDC");
123 pt->SetFillColor(18);
124 pt->SetTextAlign(12);
125 pt->AddText("Fitting x^power ");
126 pt->AddText(" \"Blue\" Points with gaussian noise to be fitted");
127 pt->AddText(" \"Red\" Known function x^3");
128 TString fmsg;
129 fmsg.Form(" \"Green\" Fitted function with power=%.4lf",power);
130 pt->AddText(fmsg);
131 pt->Draw();
132 c1->Update();
133 \endcode
134 @ingroup R
135 */
136 class TRInterface: public TObject {
137 protected:
138 RInside *fR;
140 public:
141 //Proxy class to use operators for assignation Ex: r["name"]=object
142 class Binding {
143 public:
146 {
148 fName = obj.fName;
149 return *this;
150 }
151 template <class T> Binding &operator=(const T &data)
152 {
153 fInterface->Assign<T>(data, fName);
154 return *this;
155 }
157 {
158 //The method assign is not a template for a function
159 fInterface->Assign(fun, fName);
160 return *this;
161 }
162
164 {
165 //The method assign is not a template for a function
166 fInterface->Assign(fun, fName);
167 return *this;
168 }
169
171 {
172 fInterface->Assign(df, fName);
173 return *this;
174 }
175
177 {
178 fInterface->Assign(df, fName);
179 return *this;
180 }
181
182 template <class T> Binding &operator >>(T &var)
183 {
184 var = fInterface->Eval(fName).As<T>();
185 return *this;
186 }
187
188 template <class T> Binding &operator <<(T var)
189 {
190 fInterface->Assign<T>(var, fName);
191 return *this;
192 }
193#include<TRInterface_Binding.h>
194 template <class T> operator T()
195 {
196 return fInterface->Eval(fName);
197 }
198
199 private:
202 };
203 private:
204 /**
205 The command line arguments are by deafult argc=0 and argv=NULL,
206 The verbose mode is by default disabled but you can enable it to show procedures information in stdout/stderr \note some time can produce so much noise in the output
207 \param argc default 0
208 \param argv default null
209 \param loadRcpp default true
210 \param verbose default false
211 \param interactive default true
212 */
213 TRInterface(const Int_t argc = 0, const Char_t *argv[] = NULL, const Bool_t loadRcpp = true,
214 const Bool_t verbose = false, const Bool_t interactive = true);
215
216 public:
217 ~TRInterface();
218
219 /**
220 Method to set verbose mode, that produce extra output
221 \note some time can produce so much noise in the output
222 \param status boolean to enable of disable
223 */
224 void SetVerbose(Bool_t status);
225 /**
226 Method to eval R code and you get the result in a reference to TRObject
227 \param code R code
228 \param ans reference to TRObject
229 \return an true or false if the execution was sucessful or not.
230 */
231 Int_t Eval(const TString &code, TRObject &ans); // parse line, returns in ans; error code rc
232 /**
233 Method to eval R code
234 \param code R code
235 */
236 void Execute(const TString &code);
237
238 // "unhide" TObject::Execute methods.
239 using TObject::Execute;
240
241 /**
242 Method to eval R code and you get the result in a TRObject
243 \param code R code
244 \return a TRObject with result
245 */
246 TRObject Eval(const TString &code);
247
248
249 /**
250 Template method to assign C++ variables into R enviroment
251 \param var any R wrappable datatype
252 \param name name of the variable in R's enviroment
253 */
254 template<typename T >void Assign(const T &var, const TString &name)
255 {
256 // This method lets you pass variables from ROOT to R.
257 // The template T should be a supported ROOT datatype and
258 // the TString's name is the name of the variable in the R enviroment.
259 fR->assign<T>(var, name.Data());
260 }
261 /**
262 Method to assign TRFunctionExport in R's enviroment
263 \param fun TRFunctionExport
264 \param name name of the variable in R's enviroment
265 */
266 void Assign(const TRFunctionExport &fun, const TString &name);
267 /**
268 Method to assign TRDataFrame in R's enviroment
269 \param df TRDataFrame
270 \param name name of the variable in R's enviroment
271 */
272 void Assign(const TRDataFrame &df, const TString &name);
273
274 /**
275 Method to get a R prompt to work interactively with tab completation support
276 */
277 void Interactive();
278
279 /**
280 Init event loop in a thread to support actions in windows from R graphics system
281 */
282 void ProcessEventsLoop();
283
284 /**
285 Method to verify if a package is installed
286 \param pkg R's pkg name
287 \return true or false if the package is installed or not
288 */
290 /**
291 Method to load an R's package
292 \param pkg R's pkg name
293 \return true or false if the package was loaded or not
294 */
296 /**
297 Method to install an R's package
298 \param pkg R's pkg name
299 \param repos url for R's package repository
300 \return true or false if the package was installed or not
301 */
302 Bool_t Install(TString pkg, TString repos = "http://cran.r-project.org");
304
305 /**
306 static method to get an TRInterface instance reference
307 \return TRInterface instance reference
308 */
309 static TRInterface &Instance();
310 /**
311 static method to get an TRInterface instance pointer
312 \return TRInterface instance pointer
313 */
314 static TRInterface *InstancePtr();
315
317 };
318 }
319}
320
322{
323 r.Execute(code);
324 return r;
325}
326
327#endif
void Binding()
Definition Binding.C:21
ROOT::R::TRInterface & r
Definition Object.C:4
char Char_t
Definition RtypesCore.h:37
#define ClassDef(name, id)
Definition Rtypes.h:325
TBuffer & operator<<(TBuffer &buf, const Tmpl *obj)
Definition TBuffer.h:399
char name[80]
Definition TGX11.cxx:110
This is a class to create DataFrames from ROOT to R.
This is a class to pass functions from ROOT to R.
Binding & operator=(const TRFunctionExport &fun)
Binding(TRInterface *rnt, TString name)
Binding & operator<<(const TRDataFrame &df)
Binding & operator>>(T &var)
Binding & operator<<(const TRFunctionExport &fun)
Binding & operator=(const TRDataFrame &df)
Binding & operator=(const T &data)
Binding & operator=(const Binding &obj)
ROOT R was implemented using the R Project library and the modules Rcpp and RInside
void Execute(const TString &code)
Method to eval R code.
static TRInterface & Instance()
static method to get an TRInterface instance reference
void SetVerbose(Bool_t status)
Method to set verbose mode, that produce extra output.
Bool_t IsInstalled(TString pkg)
Method to verify if a package is installed.
Bool_t Require(TString pkg)
Method to load an R's package.
Int_t Eval(const TString &code, TRObject &ans)
Method to eval R code and you get the result in a reference to TRObject.
void Interactive()
Method to get a R prompt to work interactively with tab completation support.
void ProcessEventsLoop()
Init event loop in a thread to support actions in windows from R graphics system.
Binding operator[](const TString &name)
void Assign(const T &var, const TString &name)
Template method to assign C++ variables into R enviroment.
static TRInterface * InstancePtr()
static method to get an TRInterface instance pointer
Bool_t Install(TString pkg, TString repos="http://cran.r-project.org")
Method to install an R's package.
This is a class to get ROOT's objects from R's objects.
Definition TRObject.h:70
Mother of all ROOT objects.
Definition TObject.h:37
virtual void Execute(const char *method, const char *params, Int_t *error=0)
Execute method on this object with the given parameter string, e.g.
Definition TObject.cxx:279
Basic string class.
Definition TString.h:136
tbb::task_arena is an alias of tbb::interface7::task_arena, which doesn't allow to forward declare tb...