The population consists of three colonies in neighboring areas. Unfortunately, capture/investigation start differs among colonies (WT since 1989, TUP since 2002, BO since 2013).
Moreover, some individuals were marked as juveniles and some individuals were marked as adults.
To test, if there is an age effect, I binned Individuals into groups "marked as adults" and "marked as juveniles"
Colony/Marked as Juvenile or Adult --> Number of individuals
WT/MAA --> 224
WT/MAJ --> 387
TUP/MAA--> 288
TUP/MAJ--> 404
BO/MAA --> 76
BO/MAJ --> 41
If I perform GOF with RELEASE with processed data, which include all of these groups
- Code: Select all
Mnat.processed=process.data(Mnat,model="CJS",begin.time=1989,groups=c("MA","col"))
release.gof(Mnat.processed)
For many tests I get this warning message :
" * * WARNING * * One or more expected values were < 2.0. "
So I conclude my data per year per group are to sparse.
However, if I throw out the colony and/or the the "marked as" group, I still have these warning messages
(it gets less but still occurs). To which degree is this acceptable and does this mean, that my starting model
should not include the groups colony and MA?
Moreover I wonder if the oveall test (Test2 + Test3 chi quare to determine c.hat) which includes the colony
group is reliable as I dont have data during the first years in two colonies.
Thank you very much