So I am trying to compare between populuations and determine whether there is a difference in count based data.
My data look like this:
Individual Population Total_Reads Positive_Reads indiv1 A 14 5 indiv2 B 12 8 indiv3 C 15 8 indiv4 A 8 4 etc. with ~7 populations and ~6 individuals per population
and I would prefer to compare them in such a way that (a) I can identify what groups are significantly different from one another and (b) I retain the count-based nature of the data.
Does anybody have any suggestions or ideas? A friend of mine suggested a multivariate, binomial model which will produce an effect size for each population, but I'm not sure that will address the question.