[R] Robust regression for ordered data

[Bert Gunter]

Have you checked the Robust task view on CRAN?? Would seem that that
should have been the first place to look.

-- Bert

On Sun, Oct 7, 2012 at 3:30 PM, Eiko Fried <torvon at gmail.com> wrote:
> Thank you Jeff! Please ignore the first of my two questions then, and
> apologies for not making it clear that my second question was about R.
>
> (2) "Are there ways of using robust regressions with ordered data" ... in
> R?
>
> Thank you
>
>
> On 7 October 2012 18:26, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote:
>
>> This does not appear to be a question about R. You should post in a list
>> or forum dedicated to discussing statistics theory, such as
>> stats.stackoverflow.com.
>> ---------------------------------------------------------------------------
>> Jeff Newmiller                        The     .....       .....  Go Live...
>> DCN:<jdnewmil at dcn.davis.ca.us>        Basics: ##.#.       ##.#.  Live
>> Go...
>>                                       Live:   OO#.. Dead: OO#..  Playing
>> Research Engineer (Solar/Batteries            O.O#.       #.O#.  with
>> /Software/Embedded Controllers)               .OO#.       .OO#.  rocks...1k
>> ---------------------------------------------------------------------------
>> Sent from my phone. Please excuse my brevity.
>>
>> Eiko Fried <torvon at gmail.com> wrote:
>>
>> >I have two regressions to perform - one with a metric DV (-3 to 3), the
>> >other with an ordered DV (0,1,2,3).
>> >
>> >Neither normal distribution not homoscedasticity is given. I have a two
>> >questions:
>> >
>> >(1) Some sources say robust regression take care of both lack of normal
>> >distribution and heteroscedasticity, while others say only of normal
>> >distribution. What is true?
>> >(2) Are there ways of using robust regressions with ordered data, or is
>> >that only possible for metric DVs?
>> >
>> >Thanks
>> >Torvon
>> >
>> >       [[alternative HTML version deleted]]
>> >
>> >______________________________________________
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>> >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.
>>
>>
>
>         [[alternative HTML version deleted]]
>
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> and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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