Thanks Steve,
I'm halfway there with:
foo <- cbind(foo, range_group=cut(foo$score, breaks=c(.9, .8, .7, .6,
.5, .4, .3, .2, .1)))
with(foo, tapply(score, list(range_group), mean))
This works, but I only get one of the 3 columns I need, mean(score).
I'm not sure how to get the other two.
It r
Hi,
On Aug 5, 2009, at 2:11 PM, Noah Silverman wrote:
Hello,
I asked this as part of a previous message, but never really figured
out a usable solution. So this is a second attempt.
I have an process containing an SVM. The end result is the
probability that the class is true. That res
Hello,
I asked this as part of a previous message, but never really figured out
a usable solution. So this is a second attempt.
I have an process containing an SVM. The end result is the probability
that the class is true. That result is added back to the original data.
So I wind up with
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