Hello everybody.
In my case, calculating multiple comparisons (Tukey) after lmer
produced the following two errors:
> sv.mc <- glht(model.sv,linfct=mcp(comp="Tukey"))
Error in x$terms : $ operator not defined for this S4 class
Error in factor_contrasts(model) :
no 'model.matrix' method for 'model' found!
What I have done before:
> sv.growth <- groupedData(length~meas|box_id,outer=~comp,data=sv.growth)
> model.sv <- lmer(length~comp+(meas|box_id),data=sv.growth)
Warning message:
In .local(x, ..., value) :
Estimated variance-covariance for factor 'box_id' is singular
> summary(model.sv)
Linear mixed-effects model fit by REML
Formula: length ~ comp + (meas | box_id)
Data: sv.growth
AIC BIC logLik MLdeviance REMLdeviance
1587 1606 -786.4 1605 1573
Random effects:
Groups 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
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