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.

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.

C++ classes to embed R in C++ applications
A C++ class providing the R interpreter is offered by this package
making it easier to have "R inside" your C++ application. 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. d 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 examples 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.