[R] cross-validation

Trevor Wiens twiens at interbaun.com
Mon Mar 14 04:59:04 CET 2005

On Sun, 13 Mar 2005 15:28:54 -0700
Trevor Wiens <twiens at interbaun.com> wrote:

> I've been looking at the stats and Design libraries and it is unclear to me the best way to approach doing cross-validation. I'm interested in using temporal (I have five years of data), spatial (I've divided my data set up into 5 blocks that make sense and have a block variable attached to my data) and I was also thinking of doing a random cross-validation to look at general model stability. For the third option I think either cross-validation or bootstrapping would be appropriate
> If someone can type out a really simple code example ( or point me to one), that would be very helpful. 
I realized I should have mentioned this is for logistic regression using either glm or the Design lrm models.


Trevor Wiens 
twiens at interbaun.com

The significant problems that we face cannot be solved at the same 
level of thinking we were at when we created them. 
(Albert Einstein)

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