Seamless R and C Integration with Rcpp (Use R! 64)

About this book

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C. With Rcpp the transfer of data between R and C is nearly seamless and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statisticians toolbox. -- Michael Braun MIT Sloan School of Management "Seamless R and C integration with Rcpp" is simply a wonderful book. For anyone who uses C/C and R it is an indispensable resource. The writing is outstanding. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside which enables you to use R inside C. These applications are what most of us need to know to really do scientific programming with R and C. I love this book. -- Robert McCulloch University of Chicago Booth School of Business Rcpp is now considered an essential package for anybody doing serious computational research using R. Dirks book is an excellent companion and takes the reader from a gentle introduction to more advanced applications via numerous examples and efficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp its cousins (RcppArmadillo RcppEigen .etc.) modules package development and sugar. Overall this book is a must-have on your shelf. -- Sanjog Misra UCLA Anderson School of Management The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C code one has Rs data structures readily at hand for further computations in C. Hence high-level numerical programming can be made in C almost as easily as in R but often with a substantial speed gain. Dirk is a crucial person in these developments and his book takes the reader from the first fragile steps on to using the full Rcpp machinery. A very recommended book! -- Sren Hjsgaard Department of Mathematical Sciences Aalborg University Denmark "Seamless R and C Integration with Rcpp" provides the first comprehensive introduction to Rcpp. Rcpp has become the most widely-used language extension for R and is deployed by over one-hundred different CRAN and BioConductor packages. Rcpp permits users to pass scalars vectors matrices list or entire R objects back and forth between R and C with ease. This brings the depth of the R analysis framework together with the power speed and efficiency of C.