Nothing
#' Internal function
#'
#' This function calculates the different positive and
#' negative boundaries for each data point
#' based on the origin and the cutpoint vector provided.
#'
#' @importFrom dplyr as_tibble
#'
#' @param y Numeric vector of values to be transformed.
#' @param origin Numeric origin of the horizon plot.
#' @param vec Numeric vector of cutpoints.
#'
#' @return A data frame, which has been transformed with the supplied
#' origin and vector of cuts.
#'
#' @keywords internal
posneg <- function(y, origin, vec) {
tab <- list()
pos_lst <- vec[vec >= origin]
neg_lst <- vec[vec < origin]
if (length(pos_lst) != 0) {
test <- origin
for (i in 1:(length(pos_lst))) {
min_compare <- pos_lst[i]
new_col <- unlist(
lapply(
y,
function(x) ifelse(
x>test,
abs(min(x,min_compare)-test)/abs(min_compare-test),
0)))
tab[[paste0('ypos', i)]] <- new_col
test <- pos_lst[i]
}
}
if (length(neg_lst) != 0) {
test <- origin
for (i in 1:(length(neg_lst))) {
max_compare <- neg_lst[i]
new_col <- unlist(
lapply(
y,
function(x) ifelse(
x<test,
abs(max(x,max_compare)-test)/abs(max_compare-test),
0)))
tab[[paste0('yneg', i)]] <- new_col
test <- neg_lst[i]
}
}
as_tibble(tab)
}
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