[R] residuals interpretation in logit lodel

[Robert Espesser]

I'm a bit confused with the residuals in a logit model.

a) the standardized deviance residual distribution of my model is not
close to the normal; it is rather "bimodal",
with a gap around 0.  The variables I use  do not look so strange, so
what does it mean ??

b) For what use is the "response type" residual for  a binomial model ?
Is there any sense to filtered out  the "extreme" values of the
"response type"  residual ?

(On the other hand, I'm already using   glm.diag, glm.diag.plots, 
etc...).

Thanks for help.
-- 
Robert Espesser     
Laboratoire Parole et Langage  UMR 6057, CNRS
29 Av. Robert Schuman  13621 AIX    (FRANCE)
Tel: +33 (0)4 42 95 36 26   Fax: +33 (0)4 42 59 50 96
http://www.lpl.univ-aix.fr/~espesser
mailto:Robert.Espesser at lpl.univ-aix.fr
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !)  To: r-help-request at stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._