#' Estimate the operational levels and the correlation
#'
getCor <- function(inp_data, selected_CP, lvname) {
ald_vector <- inp_data$ALD
loc_vector <- inp_data$location
op_num <- rep(0, nrow(inp_data))
op_num[ selected_CP ] <- 1
Operational_name <- get_opname(inp_data, lvname, op_num)
ald_num <- match(ald_vector, lvname)
olv_num <- match(Operational_name, lvname)
cor_inc <-
tryCatch({
cor(ald_num, loc_vector)
},
warning = function(w) {0},
error = function(w) {0}
)
list(cor_inc, Operational_name)
}
#' Calculate operational levels
#'
get_opname <- function(datainp, lvname, opnum){
eff_name <- names(datainp)
target_filter = "ALD"
item_start <- 1
cut_point <- which(opnum==1)
num_item <-length(opnum)
operational_1 <- c(item_start, cut_point, num_item)
Operational_name <- rep(lvname[length(lvname)], length(opnum))
for(i in 1:(length(cut_point)+1)){
# i <- 2
if(i == (length(cut_point)+1)) {
Operational_name[operational_1[i]:(operational_1[(i+1)])] <- lvname[i]
} else {
Operational_name[operational_1[i]:(operational_1[(i+1)]-1)] <- lvname[i]
}
}
return(Operational_name)
}
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