Before pyRserve can be used, R and Rserv have to be installed properly. Installation instructions for both packages are available on their corresponding websites at http://www.r-project.org/ and http://www.rforge.net/Rserve/
For R being able to run Rserve properly it has to be installed with the --enable-R-shlib option.
The following command show how to do this for the sources. Make sure you have a fortran compiler installed, otherwise installation will not be possible.
On Unix this looks like:
tar -xzf R-2.13.1.tar.gz # or whatever version you are using
cd R-2.13.1
./configure --enable-R-shlib
make
make install
For Windows it might be just enough to install a prebuilt R package. The same might be true for some Linux distributions, just make sure to install a version which also contains all headers necessary for compiling Rserve in the next step.
If you have already downloaded the tar file then from your command line run:
R CMD INSTALL Rserve_0.6-6.tar.gz
Note that you have to run at least version 0.6.6 to get the unittests to work. Older versions of Rserve have a severe implementation bug.
For the following to work you have to have Python’s setuptools (from http://pypi.python.org/pypi/setuptools ) to be installed.
pyRserve requires numpy to be installed (easy_install numpy).
Then from your unix/windows command line run:
easy_install pyRserve
Note: pyRserve requires numpy. easy_install should install numpy automatically if it’s not there yet. However cases have been reported where easy_install fails doing this. The solution is to either install numpy manually, or use pip instead of easy_install. pip can be obtained from http://pypi.python.org/pypi/pip.
In the next section you’ll find instructions how to use everything together.