Hi R-people,
I performed controlled experiments to evaluated the seeds germination of
two palms under four levels of water treatments. I conducted a generalized
linear model (GLM) with a Poisson distribution to verify whether there were
significant differences in the number of seed germination (NS-count
variable) between treatments and species (explanatory variables). Thus, my
model and output were:
model1<-glm(NS~Treatments*Species, family="poisson")
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 2.56247 0.57544 4.453 8.46e-06 ***
Treatments -2.07267 0.35065 -5.911 3.40e-09 ***
Species -0.00312 0.30527 -0.010 0.992
Treatments:Species 0.90397 0.17896 5.051 4.39e-07 ***
Null deviance: 379.870 on 98 degrees of freedom
Residual deviance: 68.302 on 95 degrees of freedom
There is a significant interaction between treatments:species. Which is the
post hoc test appropriate for this model?
Thanks,
Maria Isabel
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