From jari.oksanen at oulu.fi  Tue Mar 15 14:22:20 2011
From: jari.oksanen at oulu.fi (Jari Oksanen)
Date: Tue, 15 Mar 2011 15:22:20 +0200
Subject: [Rd] Standardized Pearson residuals
In-Reply-To: <58393ED6-2E85-4C80-843B-51DA023274FF@gmail.com>
Message-ID: <C9A534AC.15BF4%jari.oksanen@oulu.fi>

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



[Rd] Standardized Pearson residuals
Jari Oksanen