C++ Classes to Embed R in C++ Applications

C++ classes to embed R in C++ applications The 'RInside' packages makes it easier to have "R inside" your C++ application by providing a C++ wrapper class providing the R interpreter. As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself. Numerous examples are provided in the eight subdirectories of the examples/ directory of the installed package: standard, mpi (for parallel computing) qt (showing how to embed 'RInside' inside a Qt GUI application), wt (showing how to build a "web-application" using the Wt toolkit), armadillo (for 'RInside' use with 'RcppArmadillo') and eigen (for 'RInside' use with 'RcppEigen'). The example use GNUmakefile(s) with GNU extensions, so a GNU make is required (and will use the GNUmakefile automatically). Doxygen-generated documentation of the C++ classes is available at the 'RInside' website as well.


Easy embedding of R inside C++

The RInside package provides a few classes for seamless embedding of R inside of C++ applications by relying on Rcpp.

Provided with the package itself are eight subdirectories with examples: from more than a dozen basic command-line examples (in directory standard) to graphical user-interfaces (using both Qt and Wt), linear algebra with Armadillo and Eigen, parallel computing with MPI to a sandboxed server.

The RInside web page has some more details.

Dirk Eddelbuettel and Romain Francois

GPL (>= 2)

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Reference manual

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install.packages("RInside")

0.2.14 by Dirk Eddelbuettel, 7 months ago


http://dirk.eddelbuettel.com/code/rinside.html


Report a bug at https://github.com/eddelbuettel/rinside/issues


Browse source code at https://github.com/cran/RInside


Authors: Dirk Eddelbuettel and Romain Francois


Documentation:   PDF Manual  


Task views: High-Performance and Parallel Computing with R


GPL (>= 2) license


Imports Rcpp

Linking to Rcpp


See at CRAN