How about using the prediction accuracy or ROC curve if you have validation data set?
On Wed, Mar 16, 2011 at 11:42 AM, Alexx Hardt <[email protected]> wrote: > Am 16.03.2011 19:34, schrieb Anna Gretschel: > >> Am 16.03.2011 19:21, schrieb Alexx Hardt: >> >> And to be on-topic: Anna, as far as I know anova's are only useful to >>> compare a submodel (e.g. with one less regressor) to another model. >>> >>> thanks! i don't get it either what they mean by fortune... >> > > It's an R-package (and a pdf [1]) with collected quotes from the mailing > list. > Be careful with the suggestion to use AIC. If you wanted to compare two > models using AICs, you need the same distribution (that is, > Verteilungsannahme) in both models. > To my knowledge, there is no way to "compare" a gaussian model to an > exponential one (except common sense), but my knowledge is very limited. > > [1] http://cran.r-project.org/web/packages/fortunes/vignettes/fortunes.pdf > > > -- > alexx@alexx-fett:~$ vi .emacs > > ______________________________________________ > [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<http://www.r-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > -- Sincerely, Changbin -- Changbin Du DOE Joint Genome Institute Bldg 400 Rm 457 2800 Mitchell Dr Walnut Creet, CA 94598 [[alternative HTML version deleted]] ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
