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2010 Oct 29
1
Tukey post hoc comparison (glht?) after 3factorial mixed model (lmer)
...anybody could help me. So far I tried: > K <- cbind(0,diag(length(fixef(model))-1)) > rownames(K) <- names(fixef(model))[-1] > model_glht <- glht(model,linfct=K) > summary(model_glht) # but actually this is not what I want I'm rather looking for a Tukey output like this specSt:compControl - specSt:compRoot p that they are equal < 0.05 specSt:compControl - specSt:compShoot specSt:compControl - specSt:compFull specSt:compRoot - specSt:compShoot specSt:compRoot - specSt:compFull specSt:compShoot - specSt:compFull and that for each of the 3 studied species, i.e....
2010 Oct 31
1
R-help Digest, Vol 92, Issue 31
...anybody could help me. So far I tried: > K <- cbind(0,diag(length(fixef(model))-1)) > rownames(K) <- names(fixef(model))[-1] > model_glht <- glht(model,linfct=K) > summary(model_glht) # but actually this is not what I want I'm rather looking for a Tukey output like this specSt:compControl - specSt:compRoot p that they are equal < 0.05 specSt:compControl - specSt:compShoot specSt:compControl - specSt:compFull specSt:compRoot - specSt:compShoot specSt:compRoot - specSt:compFull specSt:compShoot - specSt:compFull and that for each of the 3 studied species, i.e....