Hi there,
I'm currently busy with data on a dolphin species, which I have broken up into 6 ageclasses. Regarding my first ageclass, I have the following 9 encounter histories:
0 0 1 0
0 1 0 0
0 1 1 1
0 1 1 1
1 1 1 0
1 1 1 0
1 1 1 0
1 1 1 1
1 1 1 1
For Test3.Sr I get decent results, however, when running Test3.Sm, I'm presented with the following:
I don't understand this - is there no df and chi-square value given due to the low number of encounter histories? And when reading these numbers, what power does my p-level = 1.000 have? The strange thing is, that with other ageclasses (and more encounter histories), my p-value is álways 0.80125. But when I increase the number of occasions (by adding years for example), the p-value for Test3.Sm differs more.
Regarding Test2.CT, I don't even get an output:
I am at a loss here, do I not get an output due to too sparse data? Because I do get results for Test3.Sr.
Any help would be greatly appreciated!! As you can probably tell, I'm really new with all this stuff, and I'm eager to learn!
Kind regards!