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2007 Mar 28
0
Outlier detection with the dprep library
Hi.
The dprep library has at least three different methods for outlier
detection: baysout, mahaout, robout.
I wanted to test them on a very simple data set:
vrmat<-cbind((1:22),c(8,14,14,17,21,20,27,23,25,33,31,32,30,36,37,40,42,44,52,61,81,265))
As you can see by eyeballing this, the last point is a very good outlier
candidate, and maybe the second to last point, too. Anyway, I couldn't get...