[R-sig-teaching] bagging

Luca Borger lborger at uoguelph.ca
Mon Oct 26 03:12:14 CET 2009


Hello,

I'd suggest also to get a copy of:

The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
Second Edition
February 2009
Trevor Hastie, Robert Tibshirani, Jerome Friedman.

http://www-stat-class.stanford.edu/~tibs/ElemStatLearn/


Cheers,

Luca



----- Messaggio originale -----
Da: r-sig-teaching-request at r-project.org
A: r-sig-teaching at r-project.org
Inviato: Domenica, 25 ottobre 2009 7:00:02 GMT -05:00 U.S.A./Canada, stati orientali
Oggetto: R-sig-teaching Digest, Vol 26, Issue 7

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Today's Topics:

   1. bagging (??)
   2. Re: R-sig-teaching Digest, Vol 26, Issue 6 (Iasonas Lamprianou)
   3. Re: bagging (Liviu Andronic)


----------------------------------------------------------------------

Message: 1
Date: Sat, 24 Oct 2009 23:20:34 +0800
From: ?? <kejiefinance at hotmail.com>
Subject: [R-sig-teaching] bagging
To: <r-sig-teaching at r-project.org>
Message-ID: <COL102-W379101E963ED4F9EB790D8CFBC0 at phx.gbl>
Content-Type: text/plain


Dear sir,
I have a data set which name is "c78p",now I want to deal with it with bagging.% of data from c78p as training set is 50%,and number of bootstrap random samples with replacement from c78p is 5,use SVM in each run,can you help me to write the code?
Thanks! 		 	   		  
_________________________________________________________________


	[[alternative HTML version deleted]]



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Message: 2
Date: Sat, 24 Oct 2009 09:15:23 -0700 (PDT)
From: Iasonas Lamprianou <lamprianou at yahoo.com>
Subject: Re: [R-sig-teaching] R-sig-teaching Digest, Vol 26, Issue 6
To: r-sig-teaching at r-project.org
Message-ID: <775826.45781.qm at web58902.mail.re1.yahoo.com>
Content-Type: text/plain; charset=iso-8859-1

thanks to all for your comments

jason

Dr. Iasonas Lamprianou


Assistant Professor (Educational Research and Evaluation)
Department of Education Sciences
European University-Cyprus
P.O. Box 22006
1516 Nicosia
Cyprus 
Tel.: +357-22-713178
Fax: +357-22-590539


Honorary Research Fellow
Department of Education
The University of Manchester
Oxford Road, Manchester M13 9PL, UK
Tel. 0044  161 275 3485
iasonas.lamprianou at manchester.ac.uk


--- On Sat, 24/10/09, r-sig-teaching-request at r-project.org <r-sig-teaching-request at r-project.org> wrote:

> From: r-sig-teaching-request at r-project.org <r-sig-teaching-request at r-project.org>
> Subject: R-sig-teaching Digest, Vol 26, Issue 6
> To: r-sig-teaching at r-project.org
> Date: Saturday, 24 October, 2009, 11:00 AM
> Send R-sig-teaching mailing list
> submissions to
> ??? r-sig-teaching at r-project.org
> 
> To subscribe or unsubscribe via the World Wide Web, visit
> ??? https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
> or, via email, send a message with subject or body 'help'
> to
> ??? r-sig-teaching-request at r-project.org
> 
> You can reach the person managing the list at
> ??? r-sig-teaching-owner at r-project.org
> 
> When replying, please edit your Subject line so it is more
> specific
> than "Re: Contents of R-sig-teaching digest..."
> 
> 
> Today's Topics:
> 
> ???1. Re: introducing R (Eric Lamb)
> ???2. Re: introducing R (Gabor
> Grothendieck)
> 
> 
> ----------------------------------------------------------------------
> 
> Message: 1
> Date: Fri, 23 Oct 2009 12:03:16 -0600
> From: Eric Lamb <eric.lamb at usask.ca>
> Subject: Re: [R-sig-teaching] introducing R
> To: r-sig-teaching at r-project.org
> Message-ID: <4AE1EFE4.2020005 at usask.ca>
> Content-Type: text/plain; charset=ISO-8859-1;
> format=flowed
> 
> I also have recieved a fair amount of pushback from
> collegues who would 
> prefer their favorite program to be taught to graduate
> students.
> 
> When it comes to presuading people to embrace R I have
> found that a 
> discussion of the benefits of open source software is very
> effective. My 
> institution trains a large number of graduate students from
> developing 
> countries who will likely have limited access to research
> funds when 
> they return. Pointing out the benefits of training on an
> open access 
> platform to the future research careers of these students
> has gotten 
> many onside. The same arguement applies to students who
> will be working 
> for small companies that cannot afford/justify a SAS
> license.
> 
> Cheers, Eric
> 
> -- 
> Eric Lamb
> Assistant Professor, Plant Ecology and Biostatistics
> Dept. of Plant Sciences, University of Saskatchewan
> http://homepage.usask.ca/egl388/index.html
> 
> 4D68 Agriculture Building
> 306-966-1799
> eric.lamb at usask.ca
> 
> 
> 
> ------------------------------
> 
> Message: 2
> Date: Fri, 23 Oct 2009 23:41:25 -0400
> From: Gabor Grothendieck <ggrothendieck at gmail.com>
> Subject: Re: [R-sig-teaching] introducing R

> Cc: r-sig-teaching at r-project.org
> Message-ID:
> ??? <971536df0910232041n5154ec29ra5288c5009574e6 at mail.gmail.com>
> Content-Type: text/plain; charset=ISO-8859-1
> 
> On Fri, Oct 23, 2009 at 3:03 AM, Iasonas Lamprianou

> wrote:
> >? What is more, I need material in Greek.
> 
> There is a Greek intro here:
> 
> http://stat-athens.aueb.gr/~grstats/notes/r_giagos.pdf
> 
> 
> 
> ------------------------------
> 
> _______________________________________________
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> 






------------------------------

Message: 3
Date: Sat, 24 Oct 2009 19:03:51 +0100
From: Liviu Andronic <landronimirc at gmail.com>
Subject: Re: [R-sig-teaching] bagging
To: ?? <kejiefinance at hotmail.com>
Cc: r-sig-teaching at r-project.org
Message-ID:
	<68b1e2610910241103v7ac4aea8wc10339f644b22ac2 at mail.gmail.com>
Content-Type: text/plain; charset=UTF-8

Hello

On 10/24/09, ?? <kejiefinance at hotmail.com> wrote:
>  I have a data set which name is "c78p",now I want to deal with it with bagging.% of data from c78p as training set is 50%,and number of bootstrap random samples with replacement from c78p is 5,use SVM in each run,can you help me to write the code?
>
First, such questions should be addressed to r-help.

Second, "PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented,
minimal, self-contained, reproducible code."

Concerning the random samples, I would suggest Quick-R [1] for a good
beginner's guide to R, and for bootstrapping techniques [2].

Regards
Liviu


[1] http://www.statmethods.net/
[2] http://www.statmethods.net/advstats/bootstrapping.html



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