Still the same question:
Birgitle wrote: > > I try to use ?randomForest to find variables that are the most important > to divide my dataset (continuous, categorical variables) in two given > groups. > > But when I plot the outlier: > > plot(outlier(rfObject, cls=groupingVariable), > type="p",col=c("red","green")[as.numeric(groupingVariable)]) > > it seems to me that all my values appear as outliers. > Has anybody suggestions what is going wrong in my analysis? > > > > Additonal remark The scaling of the y-axis is quite small between -1 and 2. ----- The art of living is more like wrestling than dancing. (Marcus Aurelius) -- View this message in context: http://www.nabble.com/randomForest-outlier-tp17979182p18466832.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.