Nothing
demp <-
function (x, obs, discrete = FALSE, density.arg.list = NULL)
{
if (!is.vector(x, mode = "numeric") || (length.x <- length(x)) <
1)
stop("'x' must be a numeric vector with at least one element")
names.x <- names(x)
if (!is.vector(obs, mode = "numeric"))
stop("'obs' must be a numeric vector")
if ((bad.obs <- sum(!(obs.ok <- is.finite(obs)))) > 0) {
is.not.finite.warning(obs)
obs <- obs[obs.ok]
warning(paste(bad.obs, "observations with NA/NaN/Inf in 'obs' removed."))
}
if ((n.obs <- length(obs)) < 2)
stop("'obs' must be a numeric vector with at least 2 non-missing elements")
if (!is.vector(discrete, mode = "logical") || length(discrete) !=
1)
stop("'discrete' must be a logical scalar")
na.index <- is.na(x)
if (all(na.index))
y <- as.numeric(rep(NA, length.x))
else {
y <- numeric(length.x)
y[na.index] <- NA
y.no.na <- y[!na.index]
x.no.na <- x[!na.index]
if (discrete) {
y.no.na <- table(obs)[match(x.no.na, sort(unique(obs)))]/n.obs
}
else {
y.no.na <- approx(do.call("density", args = c(list(x = obs),
density.arg.list)), xout = x.no.na, method = "linear",
rule = 1)$y
}
y.no.na[is.na(y.no.na)] <- 0
y[!na.index] <- y.no.na
}
if (!is.null(names.x))
names(y) <- rep(names.x, length = length(y))
else names(y) <- NULL
y
}
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