I use a different dissimlarity measure (library(analogue);Gowers Index).
I just wanted to look if there are similar values in both "tables".
I mainly try to find a way to find the best model to explain my
predefined groups (using a bunch of different variables:
factors,count,numeric, ordered factors)
I am also fiddling around with a logistic regression.
B.
Am 16.07.2008 um 14:58 schrieb Liaw, Andy:
Note that I did say "by this measure": what you may want to
consider as an outlier may not be what this measure picks out.
After all, RF proximities are a bit unusual as a similarity measure.
-----Original Message-----
From: Birgit Lemcke [mailto:[EMAIL PROTECTED]
Sent: Wednesday, July 16, 2008 8:55 AM
To: Liaw, Andy
Cc: R Hilfe
Subject: Re: [R] randomForest outlier
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.
-----
The art of living is more like wrestling than dancing.
(Marcus Aurelius)
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Notice: This e-mail message, together with any attachments, contains
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===========================
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Ph: +41 (0)44 634 8351
mail: [EMAIL PROTECTED]
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