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## File Name: mice_ml_lmer_choice_aggregated_variables.R
## File Version: 0.07
mice_ml_lmer_choice_aggregated_variables <- function( x_sel, clus, eps=1E-5)
{
sd_sel <- GroupSD(data=x_sel, group=clus, extend=FALSE)
sd0_sel <- ma.wtd.sdNA(data=x_sel )
# variables which should be aggregated to a higher level
vars_aggr <- which( colMeans(sd_sel[,-1, drop=FALSE]) / sd0_sel > eps )
#---- output
return(vars_aggr)
}
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