Perhaps if you follow the posting guide more closely, you might get more
(useful) replies, but without looking at your data, I doubt there's much
anyone can do for you.
The fact that the range of the outlying measures is -1 to 2 would tell
me there are no potential outliers by this measure. Please see the
"value" section of ?outlier to see how this measure is computed.
Andy
From: Birgitle
>
> 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
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>
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