I would suggest that you post instead on stats.stackexchange.com . This forum is mostly about R programming issues, not statistics (admittedly, the intersection is nonempty, but ...) That stackexchange forum is more about statistics.
You might also consider a bioconductor forum, as this appears to be a bioinformatics type of issue. Cheers, Bert P.S. Both of these could be found with suitable internet searches. Don't neglect search engines for these types of queries. I have found them to be very helpful. Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll On Fri, Dec 4, 2015 at 1:15 AM, Johannes Klene <jklene...@gmail.com> wrote: > Hi all, > I'd like to use random forest regression to say something about the > importance of a set of genes (binary) for schizophrenia-related behavior > (continuous measure). I am still reading up on this technique, but would > already really appreciate any feedback on whether my approach is valid. > So...using the randomForest package, is it a good approach to enter a few > dozen binary predictors to assess their importance (as a set, and > individually) for a continuous measure with a sample size of ~1000 people? > More specific questions: > - I have an additional interest in interactions (though perhaps not the > best word in this context), does it make any sense to say something about > the influence one predictor has over others by looking at the change in > estimated importance of the others when that predictor is removed from the > model? > - I have a few siblings in the data, i.e. non-independence, is this a > problem and if so, is there anything I can do about it? > - The few papers I have seen so far on using this technique in a similar > situation do not include any 'standard' covariates such as age and gender, > should I? > Any and all feedback is greatly appreciated!! Kind regards, Johannes > > p.s. Hope I've come to the right place despite this being a more general > question, if not please let me know of a forum where this is more suited > for. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.