# EMMIP/LSMMIP plot from glmer model

I need to create a plot from a glmer model, and I tried to use EMMIP function for this:

model<-glmer(Accuracy ~ day, dataframe, family = 'binomial')
emmip(model, ~ day, xlab = "day", ylab = "Accuracy", main = "XXX")


Although it produces a seemingly accurate plot, it has a strange y-axis labelling. It is strange because I want it to be mean percentage of accuracy, but it shows definitely something else. It is interesting that when I use emmip() with an ANOVA model I don't have this problem. Does anybody know if there is anything I could do to have accurate information on y-axis?

• can you tell us what kind of plot this is supposed to be, and what package the emmip() function comes from? – Ben Bolker Aug 25 '18 at 23:36

You probably need type="response"; the default is to make predictions on the linear predictor scale, which for a binomial model is the logit or log-odds scale.
From ?emmeans:emmip: