I've been looking at the base 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 options I can use cross-validation or bootstrapping.
If someone can type out a code example, that would be very helpful to me. Thanks in advance. 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
