Dear Michael,
>From ?effect (under "Warnings and Limitations"):
"Binomial generalized linear models cannot have a matrix of successes and
failures on the left-hand side of the model formula; instead specify the
proportion of successes (i.e., successes/(successes + failures)) as the
response, a
look into it when
> I have a chance.
>
> Finally, there really is no advantage to making an effect display for a
> model with a single predictor, though perhaps this isn't what you were doing
> in your actual application.
>
> Best,
> John
>
>> -Original Messa
dictor, though perhaps this isn't what you were doing
in your actual application.
Best,
John
> -Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Lars Bishop
> Sent: July-30-11 4:30 PM
> To: jim holtman; r-help@
ok. Here's an example:
R version 2.11.1
effects_2.0-10
var1 <- c(25631.9392, 2521.2590, 6656.6516, 1362.5997, 6369.9818,
27253.4223, 2073.1909, 9959.3792,
3318.2500, 15323.8103, 11583.8717, 3054.5558, 625.6597,
2500., 11996.2271)
var2 <- as.factor(c("B:=500", "B:=500", "B:=5
Not with a description like that.
You need to make a reproducible example. Try using head () or subset to make a
smaller data set. Provide the data (using e.g. dput()). Provide the commands
that trigger the errors. Who knows... you might even see the issue yourself
then.
Dear Lars,
There's not nearly enough information here to know what's wrong. I can guess
(but shouldn't have to) that the model glm.sev1 is a generalized linear
model of some sort, probably fit by glm(). At a minimum, it would help to
know what command you used to fit the model, the history of comm
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