[R] Support Vector Machine

[Prof Brian Ripley]

The simplest to use is probably svm() in package e1071 or svmlight() 
in klaR, both interfaces to well respected SVM code (but e1071 
includes the C++ code it uses).

See also

> help.search("support vector")
MAclinical::svm_x       Classification based on support vector machines
                         using microarray data only
ROCR::ROCR.hiv          Data set: Support vector machines and neural
                         networks applied to the prediction of HIV-1
                         coreceptor usage
chemometrics::svmEval   Support Vector Machine evaluation by CV
e1071::predict.svm      Predict Method for Support Vector Machines
e1071::svm              Support Vector Machines
kernlab::ksvm           Support Vector Machines
kernlab::lssvm          Least Squares Support Vector Machine
kernlab::plot.ksvm      plot method for support vector object
kernlab::predict.ksvm   predict method for support vector object
klaR::predict.svmlight
                         Interface to SVMlight
klaR::svmlight          Interface to SVMlight
rattle::ISO_8601_to_POSIX_datetime_format
                         Interal Rattle user interface callbacks.
svcR::findModelCluster
                         Computation of clustering model by support
                         vector machine
CMA::svmCMA-methods     Support Vector Machine
CMA::svmCMA             Support Vector Machine

on my server.

On Mon, 23 Feb 2009, Crouch, Daniel wrote:

> Hi,
>
> I use ksvm() in the kernlab package. If I recall correctly it's quite easy to implement, and has a choice of different kernals.
>
> Dan
>
>
> Daniel Crouch
> Research Student
> Department of Medical & Molecular Genetics
> King's College London
> 8th Floor, Tower Wing
> Guy's Hospital
> London SE1 9RT
> United Kingdom
> ________________________________________
> From: r-help-bounces at r-project.org [r-help-bounces at r-project.org] On Behalf Of Meir Preiszler [pmeir at Itamar-Medical.com]
> Sent: 23 February 2009 15:16
> To: r-help at r-project.org
> Subject: [R] Support Vector Machine
>
> Hi,
>
> I would like to try using a Support Vector Machine on a classification
> problem that I'm dealing with. Does such a package exit in R?
>
> Thanks
> Meir
>
>
>
>
> ********************************************
> Meir Preiszler - Research Engineer
> I t a m a r M e d i c a l Ltd.
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-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595