I am having difficulty understanding how the results from Linear Mixed Effects model. I am examining the three different types of learning condition, condition A, B, and C. My formula using Lme4 package is following:
fit <- lmer (dv ~ condition + (1|id))
I would like to set a model where I compare each learning condition with grand mean. So, I set a sum contrast.
condition <- factor (condition) contrasts(condition) <- contr.sum(3) fit <- lmer (dv ~ condition + (1|id)) summary(fit)
However, now I cannot find the condition C in the result. Where can I get the comparison between condition C and grand mean? This is how result supposed to be?