Nothing
ci_bod <- function(x,indic_col)
{
#library(Benchmarking)
x_num = x[,indic_col]
n_indic <- dim(as.matrix(x_num))[2]
n_unit <- dim(as.matrix(x_num))[1]
# Numeric check
for (i in seq(1,n_indic))
{
if (!is.numeric(x_num[,i]))
{
stop(paste("Data set not numeric at column:",i))
}
}
for (i in seq(1,n_unit))
{
for (j in seq(1,n_indic))
{
if (is.na(x_num[i,j]))
{
message(paste("Pay attention: NA values at column:",i,", row",j,". Composite indicator has been computed, but results may be misleading, Please refer to OECD handbook, pg. 26."))
# options(warn=-2)
}
}
}
ci_data = as.matrix(cbind(x_num))
uni <- as.matrix(seq(1, 1, len = dim(ci_data)[1]))
CI <- Benchmarking::dea.dual(uni,ci_data,ORIENTATION=1,RTS=3)
#Peers = peers(CI)
Lambda = CI$v
r<-list(ci_bod_est=CI$eff,ci_bod_weights = Lambda, ci_method="bod")
r$call<-match.call()
class(r)<-"CI"
r
##return(ci_bod_est)
}
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