Thanks a lot Bert.

Yet still, I would like to know does the diagnosis and model-checking for
rlm follow the same procedure as lm ...

Thank you!

On Fri, Jul 6, 2012 at 9:27 AM, Bert Gunter <gunter.berton@gene.com> wrote:

> ....
>
>  On Fri, Jul 6, 2012 at 7:19 AM, Michael <comtech.usa@gmail.com> wrote:
>
>> Hi all,
>>
>> I am reading the MASS book but it doesn't give examples about the
>> diagnosis
>> and model checking for rlm...
>>
>> My data is highly non-Gaussian so I am using rlm instead of lm.
>>
>
> Well, rlm() is not necessarily going to help you with that. Key questions:
> In what way are the data non-Gaussian? Why?
>
> Please do not reply to either me or the list. You need to talk with a
> statistician or try a statistical help list (e.g. stats.stackexchange.com).
> These are not questions about R but about statistical modeling.
>
> -- Bert
>
>>
>> My questions are:
>>
>> 0. Are goodness-of-fit and model-checking using rlm completely the same as
>> usual regression?
>>
>>    1.
>>
>>
>>    Please give me some pointers about how to do goodness-of-fit and
>>    residual diagnosis for rlm in R? Any good tutorials/examples, etc?
>>    2.
>>
>>
>>    How to do the residual diagnosis etc. when regression weights are used?
>>    Still the same?
>>
>> Thanks a lot!
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> PLEASE do read the posting guide
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
>
> Bert Gunter
> Genentech Nonclinical Biostatistics
>
> Internal Contact Info:
> Phone: 467-7374
> Website:
>
> http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
>
>
>

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