Nothing
# Boxplot based on percentiles:
"boxplotperc.stats" <-
function (x, quant = c(0.02,0.98), do.conf = TRUE, do.out = TRUE)
{
nna <- !is.na(x)
n <- sum(nna)
stats <- stats::fivenum(x, na.rm = TRUE)
iqr <- diff(stats[c(2, 4)])
stats[c(1, 5)] <- quantile(x,quant) # PF
if (any(quant<0 | quant>1))
stop("'quant' must have two elements in the interval [0,1]")
out <- x < stats[1] | x > stats[5]
conf <- if (do.conf)
stats[3] + c(-1.58, 1.58) * iqr/sqrt(n)
list(stats = stats, n = n, conf = conf, out = x[out & nna])
}
"boxplotperc" <-
function (x, ..., quant = c(0.02,0.98), width = NULL, varwidth = FALSE,
notch = FALSE, outline = TRUE, names, plot = TRUE, border = par("fg"),
col = NULL, log = "", pars = list(boxwex = 0.8, staplewex = 0.5,
outwex = 0.5), horizontal = FALSE, add = FALSE, at = NULL)
{
args <- list(x, ...)
namedargs <- if (!is.null(attributes(args)$names))
attributes(args)$names != ""
else rep(FALSE, length.out = length(args))
pars <- c(args[namedargs], pars)
groups <- if (is.list(x))
x
else args[!namedargs]
if (0 == (n <- length(groups)))
stop("invalid first argument")
if (length(class(groups)))
groups <- unclass(groups)
if (!missing(names))
attr(groups, "names") <- names
else {
if (is.null(attr(groups, "names")))
attr(groups, "names") <- 1:n
names <- attr(groups, "names")
}
for (i in 1:n) groups[i] <- list(boxplotperc.stats(groups[[i]],
quant))
stats <- matrix(0, nrow = 5, ncol = n)
conf <- matrix(0, nrow = 2, ncol = n)
ng <- out <- group <- numeric(0)
ct <- 1
for (i in groups) {
stats[, ct] <- i$stats
conf[, ct] <- i$conf
ng <- c(ng, i$n)
if ((lo <- length(i$out))) {
out <- c(out, i$out)
group <- c(group, rep.int(ct, lo))
}
ct <- ct + 1
}
z <- list(stats = stats, n = ng, conf = conf, out = out,
group = group, names = names)
if (plot) {
bxp(z, width, varwidth = varwidth, notch = notch, log = log,
border = border, boxfill = col, pars = pars, outline = outline,
horizontal = horizontal, add = add, at = at)
invisible(z)
}
else z
}
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