I just came across this interesting corporate blog, and I must confess I really like the design as well as the content in it. Simafore is an analytics company. The post of course was on combining R with Rapid Miner
There are many packages and libraries in R, specifically tailored to handle time series forecasting in the “traditional” manner. RapidMiner integrates really well with R by providing two mechanisms:
- an interactive console, similar to the native R console and somewhat less sophisticated thanRStudio
- and a more powerful full integration of R capabilities within the RapidMiner process design perspective.
The first option is fairly easy to put into work, assuming you have successfully added the R extension to RapidMiner. But the second option requires some initial planning. The key is to understand how to pass data from RapidMiner to R and back. Once you understand this simple but important aspect, then R essentially becomes another powerful “operator” within the vast library of existing RapidMiner operators
you can read the complete article here http://www.simafore.com/blog/bid/204923/combining-power-of-r-and-rapidminer-for-time-series-forecasting
DECISION STATS 