I am struggling with using the correct test for count data in R. The dataset I have is the number of nymphs produced by three aphid species on wheat.
So this is count data with one response variable (number of nymphs) and one explanatory variable with three levels (i.e. three different species).
I want to test whether there are any differences between the three species with the number of nymphs they produce.
I think that I should not use an ANOVA with count data. I have tried a GLM with QuasiPoisson, but I am struggling to interpret the output and be sure that I have used the correct test. Essentially I want to equivalent for a one-way anova but for count data.