[Rd] Standardized Pearson residuals

[peter dalgaard]

On Mar 15, 2011, at 14:22 , Jari Oksanen wrote:

> On 15/03/11 13:17 PM, "peter dalgaard" <pdalgd at gmail.com> wrote:
> 
>> 
>> On Mar 15, 2011, at 04:40 , Brett Presnell wrote:
>> 
>>> 
>>>>> Background: I'm currently teaching an undergrad/grad-service course from
>>>>> Agresti's "Introduction to Categorical Data Analysis (2nd edn)" and
>>>>> deviance residuals are not used in the text.  For now I'll just provide
>>>>> the students with a simple function to use, but I prefer to use R's
>>>>> native capabilities whenever possible.
>>>> 
>>>> Incidentally, chisq.test will have a stdres component in 2.13.0 for
>>>> much the same reason.
>>> 
>>> Thank you.  That's one more thing I won't have to provide code for
>>> anymore.  Coincidentally, Agresti mentioned this to me a week or two ago
>>> as something that he felt was missing, so that's at least two people who
>>> will be happy to see this added.
>>> 
>> 
>> And of course, I was teaching a course based on Agresti & Franklin:
>> "Statistics, The Art and Science of Learning from Data", when I realized that
>> R was missing standardized residuals.
>> 
> So nobody uses McCullagh & Nelder: "Generalized Linear Models" in teaching,
> since they don't realize that R is missing Anscombe residuals, too?
> 
> Cheers, Jari Oksanen
> 

Well, if you can read the book, you can probably write the code...

The other books are for beginners who may need the convenience (and persuasion power) of standard software.

-- 
Peter Dalgaard
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com