[R] Quantile scores as dependent variables.. an R and general method question
HDoran at air.org
Wed Feb 29 21:23:03 CET 2012
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-bounces at r-project.org [r-help-bounces at r-project.org] On Behalf Of ilai [keren at math.montana.edu]
Sent: Wednesday, February 29, 2012 1:30 PM
To: Rob James
Cc: r-help at 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 <aetiologic at 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.
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