MeV has integrated a R (CRAN) hook where by R functions and libraries can be called within the Java instance using shared libraries. Mev developed a library around the JRI (rForge) API which uses JNI, to make this happen. The user in *most cases would not have to set up or configure anything to run R dependent modules and it should be completely transparent. Please also note that MeV does not produce a command line interface to run R commands. This integration was done to leverage the R environment where many algorithms are readily available and does not need to be re-implemented in Java. MeV would use R internally as appropriate and the user should not expect to see any change in behavior of MeV.
MeV for Mac OS requires that R2.11 be pre-installed. For users who already have another version of R installed, this requirement sometimes presents a difficulty as Macs generally do not allow two versions of the same program to be installed alongside one another. We recommend using the RSwitch utility to overcome this problem.
Windows users do not have this restriction; an appropriate version of R comes bundled with MeV for Windows. This R instance will not interfere with other installed copies of R.
** RSwitch: Util from http://r.research.att.com/#other to switch between different version of R installed on MAC OS X After evry install remember to use appropriate method described below to setup next version of install as a separate install instead of an upgrade of the previous install. ** OS X 10.4 Tiger & OS X 10.5 Leopard Remove /Library/Receipts/R-Framework.pkg for fresh install and to avoid an upgrade. rm -rf /Library/Receipts/R-Framework.pkg ** OS X 10.5 and higher you have to use ** For 32/64 Bit Binary pkg pkgutil --forget org.r-project.R.Leopard.fw.pkg ** For the 32 bit Tiger binary dmg: pkgutil --forget org.r-project.R.framework pkgutil --forget org.r-project.R ** Etc: ** Check for pkgs: pkgutil --pkgs | grep r-project ** UNinstall R rm -rf /Library/Frameworks/R.framework rm -rf /Applications/R.app