Dear list, I have this huge array of numbers, of dimensions 67 x 33 x 51 x 6, the 6 being the replications. I wanted to test for evidence of autocorrelation between the 6 replications, marginally. I can calculate the first-order autocorrelation very easily using an appropriately defined function and apply on the first three dimensions. But how can I perform a permutation test to test for significance?** I have looked around with RSiteSearch and searched for permutation tests and autocorrelations, but did not come up with something that I could use. Anything I am missing?
** I understand that with such a large number of tests, there will be the issue of getting some false positives and will look into that issue separately, but right now, I need to be able to get a p-value for the marginal tests even before I get there. Many thanks and best wishes, Ranjan ______________________________________________ R-help@stat.math.ethz.ch 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.
