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Description
This will allow more direct comparison of random effects for users:
d_eff$Grouping_Factor <- "d"
s_eff$Grouping_Factor <- "s"
library(tidyverse)
rbind(d_eff, s_eff) %>%
ggplot(aes(x=Grouping_Factor, y = AvgFit, color = Grouping_Factor)) +
geom_point() +
theme_minimal() +
facet_grid(.~case) +
scale_y_continuous(breaks = 0:5, limits = c(0, 5)) +
labs(title = "Impact of grouping terms (s and d)")
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