Dear list members,

I'd like to perform a glm analysis with a hierarchically nested design. In
particular,

I have one fixed factor ("Land Use Classes") with three levels and a random
factor ("quadrat") nested within Land Use Classes with different levels per
classes (class artificial = 1 quadrat; class crops = 67 quadrats; and class
seminatural = 30 quadrats).

I have four replicates per each quadrats (response variable = species
richness per plot)

 

Here some question about: 

1) could I analize these data using the class "artificial" (i.e. I have only
1 level)?

 

2) using R I'd like perfor a glm analysis considering my response variable
(count of species) with a Poisson distribution. How can I develop my model
considering the nested nature of my design? I'm sorry but I don't know the
right package to use.

 

3) for the Anova analysis I'd like use a post-hoc comparison between
pairwise classes. What is the right procedure to do this? Is this analysis
performed in R?

 

Thanks 

Giovanni  


	[[alternative HTML version deleted]]


