C++ classes to embed R in C++ applications The RInside
packages makes it easier to have 'R inside' your C++
application by providing a few wrapper classes.

As R itself is embedded into your application, a shared library build
of R is required. This works on Linux and OS X, but may not on
Windows due to the way R is built on Windows.

Several examples are provided in the examples/ directory of the
installed package, and Doxygen-generated documentation of the
C++ classes is included as well.

C++ classes to embed R in C++ applications The RInside
packages makes it easier to have 'R inside' your C++
application by providing a few wrapper classes.

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.

Several examples are provided in the examples/ directory of the
installed package, and Doxygen-generated documentation of the
C++ classes is included as well.

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 six 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).

Doxygen-generated documentation of the C++ classes is available at the
RInside website as well.
Please send questions and comments regarding RInside to
rcpp-devel@lists.r-forge.r-project.org

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 six 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).

Doxygen-generated documentation of the C++ classes is available at the
RInside website as well.