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

[ilai]

On Wed, Feb 29, 2012 at 1:23 PM, Doran, Harold <HDoran at air.org> wrote:
>
> 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.

Huhh?
First, "deal with" is rather vague, does it mean summary? plot?
delete? as the OP is worried about independence, some modelling
exercise is more likely. Second, where do you think the OP quantiles
come from if not from the conditional distribution of some continuous
RV ? hint: not France.
So for "...leads to theory, texts or R code.." on the distributional
properties of quantiles/order statistics, do you have a better
suggestion for a starting point than QR methods?

Cheers

> ________________________________________
> 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]]
>>
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>
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