[R] Robust regression for ordered data

[Prof Brian Ripley]

On 08/10/2012 00:37, Bert Gunter wrote:
> Have you checked the Robust task view on CRAN?? Would seem that that
> should have been the first place to look.

It is still a conceptual question.  I presume this means an ordered 
response, and then we need to know what is meant by 'regression'.

If you tell us precisely what robust method you want to know about, you 
may get help about whether it is available in R.   But I surmise that 
you need rather to be looking at ordinal regression (polr in MASS, for 
example), and you will not find that in the 'Robust' task view.   In the 
task view, 'robust' is  a technical term and I don't think 'Elko Fried' 
is using it in the sense the author of the task view is.

>
> -- 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...
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>>> Go...
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>>> /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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>>>
>>
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>>
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>
>
>


-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595