[R] X-fold cross validation function for discriminant analysis

[Christos Hatzis]

One option is the Bioconductor package MLInterfaces that provides a unified
interface for several machine learning alrogirithms and methods for
cross-validation etc.  See the algorithms web site for details.

-Christos

Christos Hatzis, Ph.D.
Nuvera Biosciences, Inc.
400 West Cummings Park
Suite 5350
Woburn, MA 01801
Tel: 781-938-3830
www.nuverabio.com
 
 

-----Original Message-----
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Wensui Liu
Sent: Thursday, November 16, 2006 11:37 AM
To: Wade Wall
Cc: r-help at stat.math.ethz.ch
Subject: Re: [R] X-fold cross validation function for discriminant analysis

how hard is it to write one though?

On 11/16/06, Wade Wall <wade.wall at gmail.com> wrote:
> Hi all,
>
> I ran a discriminant analysis with some data and want to get a general 
> idea of prediction error rate.  Some have suggested using X-fold cross 
> validation procedure.  Anyone know if there is a function for this in R?
>
> Thanks,
>
> Wade
>
>         [[alternative HTML version deleted]]
>
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--
WenSui Liu
(http://spaces.msn.com/statcompute/blog)
Senior Decision Support Analyst
Cincinnati Children Hospital Medical Center

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