Thanks anyway for your answer.
That was also an option that I took into account (no potential
outliers) and I will have a look at the "value" section of ?outliers.
B.
Am 16.07.2008 um 14:11 schrieb Liaw, Andy:
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.
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