search for: comproot

Displaying 4 results from an estimated 4 matches for "comproot".

2008 Jul 25
1
glht after lmer with "$S4class-" and "missing model.matrix-" errors
...ups Name Variance Std.Dev. Corr box_id (Intercept) 466698.1 683.153 meas 230733.7 480.347 -1.000 Residual 9138.3 95.595 number of obs: 120, groups: box_id, 40 Fixed effects: Estimate Std. Error t value (Intercept) 600.90 21.31 28.196 comproot -124.84 30.14 -4.142 compshoot -167.36 30.14 -5.553 compxfull -375.13 30.14 -12.446 Correlation of Fixed Effects: (Intr) comprt cmpsht comproot -0.707 compshoot -0.707 0.500 compxfull -0.707 0.500 0.500 Thanks for youR help in advance. Anna
2010 Oct 29
1
Tukey post hoc comparison (glht?) after 3factorial mixed model (lmer)
...r I tried: > K <- cbind(0,diag(length(fixef(model))-1)) > rownames(K) <- names(fixef(model))[-1] > model_glht <- glht(model,linfct=K) > summary(model_glht) # but actually this is not what I want I'm rather looking for a Tukey output like this specSt:compControl - specSt:compRoot p that they are equal < 0.05 specSt:compControl - specSt:compShoot specSt:compControl - specSt:compFull specSt:compRoot - specSt:compShoot specSt:compRoot - specSt:compFull specSt:compShoot - specSt:compFull and that for each of the 3 studied species, i.e. compare all-pairwise combinati...
2008 Jul 25
0
glht after lmer with "$S4class-" and "missing model.matrix-" errors with DATA
...rr > box_id (Intercept) 466698.1 683.153 > meas 230733.7 480.347 -1.000 > Residual 9138.3 95.595 > number of obs: 120, groups: box_id, 40 > Fixed effects: > Estimate Std. Error t value > (Intercept) 600.90 21.31 28.196 > comproot -124.84 30.14 -4.142 > compshoot -167.36 30.14 -5.553 > compxfull -375.13 30.14 -12.446 > Correlation of Fixed Effects: > (Intr) comprt cmpsht > comproot -0.707 > compshoot -0.707 0.500 > compxfull -0.707 0.500 0.500 > > Thanks for...
2010 Oct 31
1
R-help Digest, Vol 92, Issue 31
...r 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. compare all-pairwise combinati...