residuals and glm

You really need to look at ?glm and ?residuals.glm.

resfit$residuals are the *working* residuals, which are not typically
very useful in themselves.  Far better to use the extractor function.
This enables you to obtain a number of different types of residuals,
but the default (and therefore the type you have obtained) are
deviance residuals.  You can also specify other types, such as pearson
residuals.

Hope this helps.
David

On 22/02/07, Martin Olivier <olivier.martin at avignon.inra.fr> wrote:

Hi all,

I have some problems to compute the residuals from a glm model with
binomial distribution.

Suppose I have the following result :
resfit<-glm(y~x1+x2,weights=we,family=binomial(link="logit"))

Now I would like to obtain the residuals .
the command residuals(resfit) and the vector resfit$residuals give
different
results, and they do not correspond to residuals E(yi)-yi (that is
resfit$fitted-resfit$y)

so, I would like to know what formula  is applied to compute these
residuals.
And moreover,  if I want to compute the standardized residuals, what is the
right command from the glmfit result.
Is it
(resfit$fitted-resfit$y)/sqrt(1/resfit$prior*resfit$fitt*(1-resfit$fitt)) ??


Thanks for your help,
Olivier.