Nothing
gx.ecdf <-
function (xx, xlab = deparse(substitute(xx)), ylab = "Empirical Cumulative Distribution Function",
log = FALSE, xlim = NULL, main = "", pch = 3, ifqs = FALSE,
cex = 0.8, ...)
{
temp.x <- remove.na(xx)
x <- sort(temp.x$x[1:temp.x$n])
nx <- temp.x$n
y <- ((1:nx) - 0.5)/nx
if (log) {
logx <- "x"
if ((!is.null(xlim)) && (xlim[1] <= 0))
xlim[1] <- min(x)
}
else logx <- ""
if (is.null(xlim)) {
plot(x, y, log = logx, xlab = xlab, ylab = ylab, main = main,
pch = pch, las = 1, ...)
limits <- par("usr")
nxx <- nx
}
else {
xt <- x[(x >= xlim[1]) & (x <= xlim[2])]
yt <- y[(x >= xlim[1]) & (x <= xlim[2])]
plot(xt, yt, log = logx, xlim = xlim, xlab = xlab, ylab = ylab,
main = main, pch = pch, las = 1, ...)
limits <- par("usr")
nxx <- length(xt)
}
if (ifqs) {
abline(h = 1:3/4, lty = 3)
abline(v = quantile(x, probs = c(0.25, 0.5, 0.75)), lty = 3)
}
xpos <- limits[2] - (limits[2] - limits[1]) * 0.05
ypos <- limits[3] + (limits[4] - limits[3]) * 0.11
if (log)
xpos <- 10^xpos
text(xpos, ypos, labels = paste("N =", nx), adj = 1, cex = cex)
if (nxx != nx) {
ypos <- limits[3] + (limits[4] - limits[3]) * 0.05
text(xpos, ypos, labels = paste(nx - nxx, "points omitted"),
adj = 1, cex = cex * 0.8)
}
invisible()
}
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