[R] lm()

[Stephen Sefick]

Rpart has a built in cross-validation proceedure.  the xerror and so on 
are based on a ten fold cross validation, I believe.  Read the manual 
for more results.  If you plot the fit with post and then look at the 
postscript file it should have a misclassification rate under the 
terminal nodes.
HTH,

Stephen

On Mon 23 Apr 2012 02:58:37 AM CDT, Mariam wrote:
> Hi, Jorge!
> Help me please! I made a classification tree (rpart package) according to my train data and set of variables. How can I validate my test data? I want to check if the test data will classified properly by the same tree. Thanks
> cheers
> Maria
>
>
> Tue, 10 Apr 2012 08:44:39 -0700 (PDT) от "Jorge I Velez [via R]"<ml-node+s789695n4546022h28 at n4.nabble.com>:
>
>
>   Hi Mariam,
>
> Check out the ?poly function.
>
> Best,
> Jorge.-
>
>
> On Tue, Apr 10, 2012 at 10:12 AM, Mariam<>  wrote:
>
>> People, help me please!
>> How to use lm() function to defind a cofficient for 7-polinom, and what
>> expression should I put in /formula/
>>
>> --
>> View this message in context:
>> http://r.789695.n4.nabble.com/lm-tp4545740p4545740.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> [hidden email] mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
> Â  Â  Â  Â  [[alternative HTML version deleted]]
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
>
> ----------------------------------------------------------------------
>
>
> If you reply to this email, your message will be added to the discussion below: http://r.789695.n4.nabble.com/lm-tp4545740p4546022.html
>   To unsubscribe from lm(), click here.
>   NAML
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/lm-tp4545740p4579717.html
> Sent from the R help mailing list archive at Nabble.com.
> 	[[alternative HTML version deleted]]
>
>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

--
Stephen Sefick
**************************************************
Auburn University
Biological Sciences
331 Funchess Hall
Auburn, Alabama
36849
**************************************************
sas0025 at auburn.edu
http://www.auburn.edu/~sas0025
**************************************************

Let's not spend our time and resources thinking about things that are 
so little or so large that all they really do for us is puff us up and 
make us feel like gods.  We are mammals, and have not exhausted the 
annoying little problems of being mammals.

                                -K. Mullis

"A big computer, a complex algorithm and a long time does not equal 
science."

                              -Robert Gentleman