**Recipes, scripts and genomics**, and kindly contributed to R-bloggers)

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:

**1) **get rapidminer (obviously ðŸ™‚ )

**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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**Recipes, scripts and genomics**.

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