*Warning messages: *appear after dredging global model in MMI and
requesting model selection table
dd(global model)<-dredge(global model) - runs OK
dd(global model)
* 1: In x[i] <- value[[j]] :
number of items to replace is not a multiple of replacement length*
Also at model averaging stage I get this warning
top.models4_global model<-get.models(ddglobal model, subset = delta <= 4,
method="REML") - runs OK
model.avg(top.models4_global model)
*Warning message:**
In m.resp[-1] == m.resp[[1]] :
longer object length is not a multiple of shorter object length
*
I've checked length() names() str() of data - everything looks OK. I have no
missing values.
e.g of data from str() below:
'data.frame': 51 obs. of 5 variables:
$ BRYOSR : num 7 13 10 3 13 8 4 4 7 10 ...
$ CANCOV : num 16.7 36.7 78.4 20 81.7 93.4 43.4 88.4 30 81.7 ...
$ SRTTOTCWD : num 0 0 0.4 0 0 0.1 0 0.3 0 0.3 ...
$ WELLN : num 3.3 2.4 3.9 3.4 3.6 4.8 4.8 4.6 4.5 3.9 ...
$ SiteDISTWOOD: num 800 1001 100 400 1001 ...
Model I'm running is GAM with only one smoother on a continous variable
(that has non linear relationship with response and 2 interactions and is
Poisson distributed (response is count data).
Can someone please suggest what else this may be indicating about my data.
Thanks,
Karen
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