I am performing a LSD test after getting GLMM results. My goal is to know the differences between classes (in this case the difference between grinding methods, I assayed III methods). The GLMM output obtained was called "glmer.conc.Grinding_Kit". When I apply the LSD test:
lsmeans(glmer.conc.Grinding_Kit, pairwise ~ Grinding)
I obtained the next output:
$lsmeans
Grinding lsmean SE df asymp.LCL asymp.UCL
I 5.26 0.323 Inf 4.63 5.90
II 4.62 0.323 Inf 3.99 5.25
III 4.34 0.323 Inf 3.71 4.97
Results are averaged over the levels of: Kit
Results are given on the log (not the response) scale.
Confidence level used: 0.95
$contrasts
contrast estimate SE df z.ratio p.value
I - II 0.641 0.137 Inf 4.688 <.0001
I - III 0.921 0.135 Inf 6.826 <.0001
II - III 0.280 0.134 Inf 2.085 0.0930
Results are averaged over the levels of: Kit
Results are given on the log (not the response) scale.
P value adjustment: tukey method for comparing a family of 3 estimates
I would like to know why I obtain Inf degrees of freedom and how can I obtain a real degree of freedom. Thank you in advance.