[R] Quantile scores as dependent variables.. an R and general method question

Doran, Harold HDoran at air.org
Wed Feb 29 21:23:03 CET 2012


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-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.
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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 at 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.



More information about the R-help mailing list