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Rapidminer is a cool toy to play with machine-learning/data-mining algorithms and it can interface with R. However, it was a bit problematic for me to get the R extension working properly on Mac OS X Leopard for R 2.11. Here is what works for me at the moment:Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
1) get rapidminer (obviously 🙂 )
2) install rJava and JavaGD in R through install.packages()
JavaGD is necessary so that Rapidminer R extension doesn’t keep asking for a CRAN repository at the start up, also after installing JavaGD I was able to plot using R extension. Some people reported R tcltk package is also necessary. Maybe get that as well.
3) Set up the following lines at your ~/.bash_profile
export R_HOME=/Library/Frameworks/R.framework/Resources
export JAVA_HOME=/Library/Java/Home
I assume your R and Java installed in these locations.
4) At the first run of Rapidminer with R extension you will be asked to point the location of JRI dynamic-link library. Full path to mine is this:
/Library/Frameworks/R.framework/Resources/library/rJava/jri/libjri.jnilib
5) Run Rapidminer using “java -jar [RAPIDMINER_HOME]/lib/rapidminer.jar” on the terminal.
Clicking on rapidminer.jar starts the Rapidminer but then R extension doesn’t work. So you have to run it through the terminal as shown above.
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