- Romain François is a consultant who has been using R since 2002 and Rcpp since 2010 to improve performance. - He advocates for using Rcpp11, the header-only version of Rcpp, which has a smaller code base and faster compile times compared to Rcpp. - Rcpp11 fully supports C++11 features like lambda functions, auto type deduction, and uniform initialization that make coding with Rcpp easier and more concise.

1. R / C++
Romain François
@romain_francois

2. • Use R since 2002
• Consultant
• Rcpp since 2010
• Rcpp11 since 2013
• Performance
• Occasional comedy

3. useR2015 propaganda
Please

4. useR2015 propaganda

5. C/R API

6. Rcpp

9. 303
ABSSeq accelerometry acer AdaptiveSparsity ALKr Amelia apcluster BalancedSampling BayesComm
wordcloud wsrf XBRL zic bayou bcp bcpa bfa bfp bifactorial BIFIEsurvey BIPOD blockcluster btf bvarsv CARBayes
CARBayesST ccaPP cda CDM cgAUC CIDnetworks cladoRcpp classify clere climdex.pcic clipper
clogitL1 clusteval ClustVarLV CMF COMPASS CompGLM ConConPiWiFun coneproj copCAR CorReg
Crossover cxxfunplus dbmss ddgraph Delaporte dendextendRcpp DepthProc DESeq2 devtools dils
disclapmix diversitree diveRsity DNAprofiles DNAtools dplyr dslice DStree ecp EDDA eive
EpiContactTrace ESGtoolkit EWGoF fastGHQuad FastHCS fastM FastPCS FastRCS FBFsearch fdaMixed
FDRreg FisHiCal flip flowMatch flowType flowWorkspace FLSSS forecast fugeR Funclustering
fwsim geiger GeneNetworkBuilder GeneticTools geoCount glcm GMCM gMWT GOSemSim GOSim
GOsummaries GPvam gRbase GRENITS gRim growcurves growfunctions GSE GUILDS GUTS GxM hawkes
HDPenReg HLMdiag hsphase httpuv HUM hyperSpec hypervolume iBATCGH IBHM icamix icensmis
inarmix inline IsingSampler iterpc jaatha JAGUAR KernSmoothIRT kmc Kmisc LaF lbfgs lm.br lme4
lsgl marked maxent mcIRT messina metafolio metaSeq mets mice miceadds MIMOSA minqa mirt miscF
miscset mkde mmand Morpho mosaics Mposterior MPTinR msgl MSstats MTS mvabund MVB mvnfast
mwaved mzR nabor ndl NetSim networkBMA ngspatial NPBayesImpute oem openair openxlsx orQA PBC
pcalg pcaMethods PedCNV PerMallows phom phylobase planar plotSEMM plyr polywog PP PReMiuM
pROC pRoloc propagate prospectr protViz pryr psgp QRM quadrupen qVarSel randomUniformForest
Rankcluster rARPACK Rchemcpp Rclusterpp RcppArmadillo RcppBDT rcppbugs RcppClassic
RcppClassicExamples RcppCNPy RcppDE RcppEigen RcppExamples RcppGSL RcppMLPACK RcppOctave
RcppParallel RcppProgress RcppRedis RcppRoll RcppSMC RcppXts RcppZiggurat Rdisop recosystem
remote ReorderCluster resemble reshape2 revealedPrefs rexpokit rforensicbatwing rgam RInside
ripa Risa rkvo rlme RLRsim Rmalschains RMassBank rmgarch Rmixmod RmixmodCombi robustgam
robustHD rococo rotations roxygen2 rpg rplexos rPref RProtoBuf RQuantLib RSNNS RSNPset RSofia
Rsomoclu rTANDEM Rtsne Ruchardet rugarch Rvcg RVowpalWabbit sapFinder SBSA scrypt sdcMicro
sdcTable SelvarMix SeqArray sequences sglOptim simFrame sirt slfm snplist SocialNetworks SOD
spacodiR spaMM sparseHessianFD sparseLTSEigen SpatialEpi SpatialTools spBayesSurv StereoMorph
stochvol stosim strum survAccuracyMeasures surveillance survSNP synlik TAM TAQMNGR tbart
termstrc TFMPvalue treeclim trustOptim tvd unmarked VideoComparison VIM waffect WideLM

10. dplyr
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11. int add( int a, int b){
return a + b ;
}

13. #include <Rcpp.h>
!
// [[Rcpp::export]]
int add( int a, int b){
return a + b ;
}

14. sourceCpp
#include <Rcpp.h>
!
// [[Rcpp::export]]
int add( int a, int b){
return a + b ;
}
> sourceCpp( "add.cpp" )
> add( 2L, 3L)
[1] 5

15. R/c++ classes
• NumericVector, IntegerVector,
CharacterVector, …
• List
• Function
• Environment …

16. // [[Rcpp::export]]
double sum( NumericVector x){
int n = x.size() ;
!
double res = 0.0 ;
for( int i=0; i<n; i++){
res += x[i] ;
}
!
return res ;
}

17. List res = List::create(
_["a"] = 1,
_["b"] = "foo"
);
res.attr( "class" ) = "myclass" ; !
int a = res["a"] ;
res["b"] = 42 ;

18. Function rnorm( "rnorm" ) ;
!
NumericVector x = rnorm(
10,
_["mean"] = 30,
_["sd"] = 100
);

19. 1998

22. C++114

23. C++

24. Range based for loops
for( int i=0; i<x.size(); i++){
double d = x[i] ;
// do something with d
}
for( double d: x){
// do something with d
}
C++11 C++98

25. auto
std::vector<double> v = ... ;
std::vector<double>::const_iterator it = v.begin() ;
auto it = v.begin() ;
C++98
C++11

26. Uniform initialization {…}
std::vector<std::string> x(2) ;
x[0] = "foo"; x[1] = "bar" ;
std::vector<std::string> x = {"foo", "bar"} ;

27. C++98 typical functor bloat
class Predicate {
public:
Predicate( double y_ ) : y(y_){}
!
inline bool operator()(double x){
return x < y ;
}
!
private:
double y ;
} ;
...
!
double y = 2.0 ;
std::count_if( v.begin(), v.end(), Predicate(y)) ;

28. C++11 Lambda
double y = 2.0 ;
std::count_if( v.begin(), v.end(),
[=y](double x){
return x < y ;
}
) ;

29. Rcpp11

30. Rcpp11
• C++ = C++11
• Smaller code base (than Rcpp)
• Header only

32. Less code -> faster compiles
#include <Rcpp.h>
!
// [[Rcpp::export]]
int foo(){
return 2 ;
}
Rcpp
Rcpp11
0 1 2 3

33. sapply + lambda
#include <Rcpp11>
!
// [[export]]
NumericVector foo( NumericVector x ){
return sapply(x, [](double d){
return exp(d * 2) ;
});
}
x <- 1:3
sapply( x, function(d){
exp(d*2) ;
})

34. Rcpp11 release cycle
• Available from CRAN:
!
> install.packages( "Rcpp11" )
• Evolves quickly. Get it from github
!
> install_github( "Rcpp11/Rcpp11" )
• Current Version: 3.1.1 (same as R version)

35. Questions
romain@r-enthusiasts.com
@romain_francois