Hi there,
does anyone know, how to implement more than one group in the following syntax:
calc.relimp(swiss,
type = c("lmg", "last", "first"), rela = FALSE,
groups = c("Education","Examination"), weights = abs(-23:23) )
Let´s say we have "age" and "sex" as IVs and want to run this analysis with group 1 "Education" and "Examination" and with group 2 "age" and "sex". Is there a way to do this?
Thanks in advance,
Michael
Hello Michael,
It seems that you are using the calc.relimp() function from the relaimpo package in R for relative importance analysis. To implement more than one group, you can use the lapply() function to iterate over the groups and calculate the relative importance for each group.
Here's an example:
=======
library(relaimpo)
data(swiss)
# Define groups
groups
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