I have a fixed Factor with 8 levels (Condition), alongside two fixed effects (two predictor variables) in a linear mixed-model. I would like to compare the total effect of condition on the dependent variable, alongside the effects of the two predictor variables.
In R, the output of summary(my.model) gives the following headings, however it splits the Condition into 8 separate estimates instead of giving one beta-coefficient for the effect of Condition.
Estimate Std. Error df t value Pr(>|t|)
I know to obtain the F-statistic for Condition I can do a likelihood ratio test against the null model and report both the parameter table and the effects table. However, I would like to make my results report as concise as possible. My question is whether (in general) reporting just the main-effects table is enough in describing the results of a mixed effects model, or whether there is a way to include the total effect of Condition in the parameter table.