Nothing
#' @rdname weighted
#' @param probs Numeric vector of probabilities with values in \[0,1\]
#' @export
`w_quantile` <- function (
x, wt = NULL, probs = seq (0, 1, 0.25), na.rm = TRUE, ...
) {
metacall <- as.list (match.call ())
if (inherits (x, "haven_labelled")) {
x <- as.declared (x)
}
if (is.null (x) || !is.atomic (x) || !is.numeric (x)) {
stopError_ ("'x' should be an atomic numerical vector.")
}
if (inherits (x, "declared")) {
na_index <- attr (x, "na_index")
if (length (na_index)) {
x <- x[-na_index]
wt <- wt[-na_index] # if wt is NULL, the result is still NULL
}
attributes (x) <- NULL
}
if (is.null (wt)) {
qs <- quantile (x, probs = probs, na.rm = na.rm, ... = ...)
class (qs) <- c ("fobject", class (qs))
return (qs)
}
if (
!is.null (wt) && !(
is.atomic (wt) && all (is.finite (na.omit (wt)))
)
) {
stopError_ ("'wt' should be an atomic vector with finite values.")
}
if (length (x) != length (wt)) {
stopError_ ("Lengths of 'x' and 'wt' differ.")
}
ok <- !is.na (x + wt)
if (na.rm) {
x <- x[ok]
wt <- wt[ok]
}
else if (any (!ok)) {
stopError_ ("Missing values and NaN's not allowed if `na.rm' is FALSE")
}
if (any ((p.ok <- !is.na (probs)) & (probs < 0 | probs > 1))) {
stopError_ ("probs outside [0,1]")
}
if (na.p <- any (!p.ok)) {
o.pr <- probs
probs <- probs[p.ok]
probs <- pmax (0, pmin (1, probs))
}
sumwt <- sum (wt)
wt <- cumsum (tapply (wt, x, sum, na.rm = TRUE))
x <- sort (unique (x))
index <- 1 + (sumwt - 1) * probs
left <- pmax (floor (index), 1)
right <- pmin (left + 1, sumwt)
index <- index%%1
both <- approx(
wt, x, xout = c (left, right),
method = "constant", rule = 2, f = 1
)$y
lp <- length (probs)
qs <- (1 - index) * both[seq (1, lp)] + index * both[-seq (1, lp)]
qs <- coerceMode_ (qs)
names (qs) <- paste0 (format (100 * probs, trim = TRUE), "%")
class (qs) <- c ("fobject", class (qs))
return (qs)
}
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