🎉 🎉 RAPIDMINER 9.10 IS OUT!!! 🎉🎉
Download the latest version helping analytics teams accelerate time-to-value for streaming and IIOT use cases.
Removing Univariate Outliers (IQR)
I would like to quickly and easily remove univariate outliers using Interquartile range (IQR). I have looked for an easy way to do this but I seem to be stuck with the available RM outliers. I know RM computes IQR for the box plots, but is there an operator that can simply do this and drop everything say outside 1.5*IQR?
Also removing these outliers is essential to avoid trouble with z-transform normalization since the standard deviation can be significantly skewed by a gross outlier. Things you start encountering with real data...
Maybe there is an easy way to do this with the R extension (coming soon)?
Any Suggestions, ???