Hi everyone,
I try making decision trees and random forest using the packages rpart and
party. I'm already stuck at t he first step. Each time when I enter the code
either 1. R takes more than an hour. I haven't waited long enough to see if
there's a result but it doesn't look like it! When I
not quite an R package, but one way of taking advantage of R would be to
use something like treeplan http://goo.gl/wHsb6 along with RExcel
http://goo.gl/ToD77
On Thu, Jun 14, 2012 at 11:34 AM, stefan.d...@gmail.com <
stefan.d...@gmail.com> wrote:
> Hi Noah,
>
> I did ask basically the same questi
Hi Noah,
I did ask basically the same question about a year ago and there
wasn't anything around
(http://tolstoy.newcastle.edu.au/R/e14/help/11/06/3651.html)
Although I agree that R would be very suitable for this kind of
calculations exist. I guess one reason is that a decision tree is not
really
hi Noah, you might want to look at http://goo.gl/KqXpJ -- haven't played
with it, and was actually surprised because whenever i think about decision
trees -- which as you know are completely different from CART type of
models -- i tend to think of excel add-ons or treeage. interested in
learning wh
Regardless of what we should or should not expect regular list contributors
to know about all possible statistical areas, going to
http://www.rseek.organd searching for cost effectiveness returns leads
to at least three
packages that might do what you want.
Sarah
>>
> >> One of the team members s
Bert,
I AM a statistician. Your lack of familiarity with this particular subset of
stats is no reason to insult me or my posting.
"Cost Effectiveness" is a very standard field of study in health care and
epidemiology. The methods and models are common and well defined. I did not
ask for hel
Noah:
On Mon, Jun 11, 2012 at 3:28 PM, Noah Silverman wrote:
> Hello,
>
> I was just assigned to perform a cost effectiveness study in healthcare. We
> are studying the cost effectiveness of a proposed diagnostic vs. current
> screening procedures.
-- Please! -- Do you think this really desc
Hello,
I was just assigned to perform a cost effectiveness study in healthcare. We
are studying the cost effectiveness of a proposed diagnostic vs. current
screening procedures.
One of the team members suggest a commercial software package called "TreeAge
Pro". Looking at the description, it
Hi,
Unfortunately I do not have an answer to this question yet, but it is
something I'm currently examining. We're hoping to construct a template for
health economic evaluation using decision tree (eventually working up to
more complex modelling methodologies). I'll keep you posted on our progress
>> Anupam.
>> -Original Message-
>> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
>> Behalf Of Jonathan Daily
>> Sent: Wednesday, June 08, 2011 7:47 PM
>> To: stefan.d...@gmail.com
>> Cc: r-help@r-project.org
>> Subjec
ssage-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of Jonathan Daily
> Sent: Wednesday, June 08, 2011 7:47 PM
> To: stefan.d...@gmail.com
> Cc: r-help@r-project.org
> Subject: Re: [R] Decision Trees /Decision Analysis with R?
>
>
f Jonathan Daily
Sent: Wednesday, June 08, 2011 7:47 PM
To: stefan.d...@gmail.com
Cc: r-help@r-project.org
Subject: Re: [R] Decision Trees /Decision Analysis with R?
So TreeAge fits models but won't predict from them? That seems like bizarre
behavior. I suppose I would recommend, then, looking at
TreeAge works just fine. But its commercial, thats all...
On Wed, Jun 8, 2011 at 6:17 PM, Graham Smith wrote:
> Jon,
>
>> So TreeAge fits models but won't predict from them? That seems like
>> bizarre behavior.
>
> Nothing bizarre about TreeAge, just a different tool in a different
> disicpline.
Jon,
So TreeAge fits models but won't predict from them? That seems like
> bizarre behavior.
>
Nothing bizarre about TreeAge, just a different tool in a different
disicpline.
http://en.wikipedia.org/wiki/Decision_tree
Graham
[[alternative HTML version deleted]]
__
and not
> construct a "synthetic" tree with exogenously defined decision
> nods/rules. Or am I wrong?
>
>
> Thanks and best,
> Stefan
>
>
>
> On Wed, Jun 8, 2011 at 2:03 PM, Jonathan Daily
> wrote:
>> See packages rpart, randomFores
ote:
> See packages rpart, randomForest, party.
>
> Also, typing "R Decision Trees" produced good google results.
>
> http://www.google.com/search?aq=f&sourceid=chrome&ie=UTF-8&q=R+Decision+Trees
>
> On Wed, Jun 8, 2011 at 7:02 AM, stefan.d...@gmail.com
> wrote
See packages rpart, randomForest, party.
Also, typing "R Decision Trees" produced good google results.
http://www.google.com/search?aq=f&sourceid=chrome&ie=UTF-8&q=R+Decision+Trees
On Wed, Jun 8, 2011 at 7:02 AM, stefan.d...@gmail.com
wrote:
> Hello,
>
> this qu
Hello,
this question is a bit out of the blue.
I am a big R fan and user and in my new job I do some decision
modeling (mostly health economics). For that decision trees are often
used (I guess the most classic example is the investment decision A,
B, and C with different probabilities, what is t
Hi,
Does R have a Decision Tree functionality akin to 'Precision Tree' by
Palisade? When I search, I end up with 'rpart' but this does not
appear to be what I am looking for.
Kind regards,
Per Bak
Copenhagen
__
R-help@r-project.org mailing list
On Nov 24, 2009, at 8:50 AM, Joel Fürstenberg-Hägg wrote:
Does any of you know how to make a decision tree when the data set
contains factors and numericals?
I've got a data frame with 3 columns, where y and x1 are numerical
and x2 contains factors. Is it possible to use the rpart package
Hi all,
Does any of you know how to make a decision tree when the data set contains
factors and numericals?
I've got a data frame with 3 columns, where y and x1 are numerical and x2
contains factors. Is it possible to use the rpart package, and in that case
how? Otherwise, is there another
ct.org]
> On Behalf Of Rajarshi Guha
> Sent: Friday, October 02, 2009 10:33 AM
> To: R
> Subject: [R] decision trees using the Hellinger distance rather than
>
> Hi, while working with decision trees and unbalanced data, I came across
> the
> use of the Hellinger distance as
Hi, while working with decision trees and unbalanced data, I came across the
use of the Hellinger distance as an alternative to information gain [1,2],
when dealing with skewed data. Does anybody know of R implementations of
this approach to decision trees?
Thanks,
[1] http://www.cse.nd.edu/Repor
On Tue, 17 Jun 2008, [EMAIL PROTECTED] wrote:
Hello,
I have a question concerning decision
trees coming from RWeka :
library(RWeka)
m =J48(Species~.,data=iris)
How could such a decision tree be transferred
into a matrix, pretty much in the same fashion,
as it is done by getTree()
Hello,
I have a question concerning decision
trees coming from RWeka :
library(RWeka)
m =J48(Species~.,data=iris)
How could such a decision tree be transferred
into a matrix, pretty much in the same fashion,
as it is done by getTree() in library(ofw)
library(ofw)
data(sr
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