On Thu, 8 Sep 2011, Carlos Ortega wrote:
Hi,
Use packages "rpart.plot" or "maptree" to enhance the tree drawing.
Or another alternative, use "party" package that offers much more graphing
possibilities.
There is also the "partykit" package on R-Forge which offers party-style
graphics for rpart objects by saying plot(as.party(rpart_object)). See
http://R-Forge.R-project.org/projects/partykit/. A CRAN release is planned
for later this month.
Regards,
Carlos Ortega
www.qualityexcellence.es
On Thu, Sep 8, 2011 at 5:27 PM, Brian Jensvold <brnjns...@gmail.com> wrote:
I am trying to create a classification tree using either tree or rpart
functions but when it comes to plotting the results the formatting I get is
different than what I see in all the tutorials (like
http://www.youtube.com/watch?v=9XNhqO1bu0A or
http://www.youtube.com/watch?v=m3mLNpeke0I&feature=related or
http://www.statmethods.net/advstats/cart.html "tree for kyphosis"). I am
trying to take a large demographic population and create a tree which
systematically and accurately divides them into 2 pre-defined
classifications using multiple predictor variables. What I would like to
see is what I have seen in the tutorials similar to to the ones provided
above, where it shows something like "12/2" in each leaf or stem or step of
the tree which is meant to be interpreded as "at this step/stage there are
12 people of this category and 2 of the other. Instead I am presently
getting something like .342524 which I guess could be the result of
divideing the two groups inorder to find some porportion but im not sure,
and would that be 34% group a or group b? I was also wondering how you
know
which side is the side of each test where the individual passes or fails?
Is yes/pass always on the left?
I'm pretty sure this is just a mater of changing some sort of default
settings and is in no way a critique of the fine work the designers of R
have freely provided us.
Thank you
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.