Reputation: 327
I am plotting the interaction effects of a complex model from lme4::glmer
using sjPlots::plot_model
. I'd like to change the ordering of the panels of a categorical factor. E.g. below I would like the order to be 'switch' and then 'maintain' rather than their current order.
My current code to produce this figure is:
plot_model(glmer_build, type = "int")
The argument order.terms
provided by sjPlots only allows me to reorder the sequence of terms when looking at the coefficients - not levels within a factor.
Suggestions for doing this without just changing the names of the levels in my factor to be in the desired order (e.g. making them A. Switch and B. Maintain - I actually already did this with another variable....).
Upvotes: 1
Views: 397
Reputation: 262
This can be achieved by adding a guides
aesthetic, as exemplified at https://github.com/pablobernabeu/language-sensorimotor-simulation-PhD-thesis/blob/main/semanticpriming/frequentist_analysis/semanticpriming-interactions-with-gender.R#L46-L55
plot +
guides(color = 'none',
fill = guide_legend(title = 'Gender',
# In each key of the legend, replace the
# default line with a full square.
override.aes = list(linetype = c(0, 0),
alpha = 1),
# Reverse default order of categories
# in legend (else, Male would appear
# first as it was coded as -0.5).
reverse = TRUE))
Upvotes: 0