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
> sessionInfo()
R version 2.15.0 (2012-03-30)
Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] grid datasets splines utils stats
[6] graphics grDevices methods base
oth
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.
age-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Lars Bishop
> Sent: July-30-11 3:01 PM
> To: r-help@r-project.org
> Subject: [R] Problem with effects package
>
> Dear List,
>
> Several times I use this package I get
Dear List,
Several times I use this package I get the error message shown below.
When I work out simple examples, it turns out to be fine, but when
working with real and moderate size data sets I always get the same
error.
Do you know what could be the cause of the problem?
Error in apply(mod.m
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