On Sun, 13 Mar 2005 15:28:54 -0700 Trevor Wiens <[EMAIL PROTECTED]> 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. Thanks T -- Trevor Wiens [EMAIL PROTECTED] The significant problems that we face cannot be solved at the same level of thinking we were at when we created them. (Albert Einstein) ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
