Hi Simon,
I'm trying to fit a negative binomial gam with no covariates, that therefore
looks at the detection/non-detection data and nothing else. I thought having
1~1 as formula would allow the model to just estimate occurrence without
looking at relationship between variables.
On 25 Aug 20
'gam' doesn't know what to do with the model formula '1 ~ 1' (i.e. "one
tilde one"). What is it supposed to mean? 'glm' also does nothing
meaningful in this case...
## code to load you data file into 'dat' omitted
> model<-glm(1~1, data=dat)
> model
Call: glm(formula = 1 ~ 1, data = dat)
Co
I've attached the data to this message.
http://r.789695.n4.nabble.com/file/n4641291/2005pip.csv 2005pip.csv
--
View this message in context:
http://r.789695.n4.nabble.com/mgcv-package-problems-with-NAs-in-gam-tp4641253p4641291.html
Sent from the R help mailing list archive at Nabble.com.
Grace:
Confession: I loved that error message! -- and it seems pretty clear to me.
What does "to no avail" mean -- in particular, what happened when you
changed your NA's to 0? Presumably you did not get the same error
message, again, but something else, right? What else?
Modulo the above vague
Hi there,
I'm using presence-absence data in a gam (i.e. 0 or 1 as values)
I am trying to run a gam with 'dummy covariates' i.e. 1~1
unfortunately my model:
*
model<-gam(1~1, data=bats, family=negbin)*
keeps putting out:
*
Error in gam(1 ~ 1, data = bats, family = negbin) :
Not enough (non-NA
5 matches
Mail list logo
