I run an lmer model using standardized data like
scale(y) ~ 1 + (1|categorical)
Now, I have a standard deviation for the random effect in normalized world but I would like to transform it back to original scale. By trying
z_sd * sd(y) + mean(y) I am getting something that looks more like the
var and not the
Am I missing something obvious?
Take as example this one, and the model
course ~ 1 + (1 | school)
The Std.Dev. of School intercept is 8.674, now the
scale(course) ~ 1 + (1 | school) will return a Std.Dev. for School intercept 0.5315.
However, I can't scale back the Std.Dev using the
school_sd * sd(course) + mean(course)