Rob The OP is looking for a way to deal with outcomes scores that are quantiles, not a method that models different quantiles of the conditional distribution where an outcome is a continuous variable. So, I don't think QR methods is what is needed. ________________________________________ From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of ilai [ke...@math.montana.edu] Sent: Wednesday, February 29, 2012 1:30 PM To: Rob James Cc: r-help@r-project.org Subject: Re: [R] Quantile scores as dependent variables.. an R and general method question
On Tue, Feb 28, 2012 at 3:54 PM, Rob James <aetiolo...@gmail.com> wrote: > I have a dataset that does not include native scores, but only serial > quantile rankings for a set of units. > > Clearly these observations are dependent (in that you can't alter one > observation without also altering others). > > Are there methods for dealing with quantile dependent variables. My atempt > to find such methods has not bee successful. > Really? because google found 227k hits for "R quantile regression" - none of them lead anywhere ? > Any leads to theory, texts or R code would be most appeciated. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.