[R] Tukey post hoc comparison (glht?) after 3factorial mixed model (lmer)

hird factor, so data can be averaged over that. THANKS A LOT FOR ANY ADVICE, Sincerely Anna Radtke -> model output: Linear mixed model fit by REML Formula: length ~ spec * comp * water + (meas | box_id) Data: growth AIC BIC logLik deviance REMLdev 4800 4909 -2372 4

[R] Tukey post hoc comparison (glht?) after 3factorial mixed model (lmer)

hird factor, so data can be averaged over that. THANKS A LOT FOR ANY ADVICE, Sincerely Anna Radtke -> model output: Linear mixed model fit by REML Formula: length ~ spec * comp * water + (meas | box_id) Data: growth AIC BIC logLik deviance REMLdev 4800 4909 -2372 4

Re: [R] glht after lmer with "$S4class-" and "missing model.matrix-" errors with DATA

4.4 2008/7/25 Anna Radtke <[EMAIL PROTECTED]>: >> 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 :

[R] glht after lmer with "$S4class-" and "missing model.matrix-" errors

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 'mode