If you want to pass more inputs to a script, all you need to do is something like this: You can also have multiple inputs and output results to these operators by adding and returning more functions.

Usually it’s as easy as clipping your R script (or Python script for that matter) into the “” of the function. Working these operators is quite easy, but there a few things you need to be aware of so you don’t pull out your hair. You can see how easily the R Scripting operator mixes with native RapidMiner Studio operators (Rename) and even other Studio extensions.

Example of RapidMiner and Rīelow is an example process that uses the Finance & Economics extension to download some S&P500 (^GSPC) data and then uses an R script to calculate the ARIMA point forecast. The nice thing about this is that you can go from RapidMiner to Python, then to R and back again. All you need to do now is drag in those operators and embed your Python or R code and run your process.

Using those operators is a snap if you already have Python and/or R script ready to go. You just need to visit the Marketplace and download the Python Scripting and R Scripting operators and restart RapidMiner Studio. Once you do that, you should see two new operators under the Utility > Scripting directory in your Operators list. Long time RapidMiner Studio users already know about our seamless integration with Python and R. Pull in your Python and R scripts seamlessly For more details, check out our latest release. We’re on a mission to make machine learning more accessible to anyone. There have been some major advancements to the RapidMiner platform since this article was originally published. How to use Python and R together with RapidMiner

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