Hello R community, I am looking for a robust test for equality of variances that can take observation weights. I realize I can do the F-test with weighted variances, but I've read that this test is not very robust.
So I thought about maybe adding a "weights" argument to John Fox's code for the Levene Test (in the "car" library, "levene.test"), substituting his "median" function for a " weighted.mean" and also including the observation weights in his "lm" run-- after all, Levene's original test used the mean, not the median. I asked John about it and he doesn't know what the properties of this weighted Levene test would be. Does anyone have any thoughts or suggestions, or know of a robust weighted hypothesis test for equality of variances? Thank you in advance for any advice you can provide, Alexis Diamond [EMAIL PROTECTED] [[alternative HTML version deleted]] ______________________________________________ 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.