Nothing
`plot.meandist` <-
function(x, kind = c("dendrogram", "histogram"), cluster = "average", ylim,
axes = TRUE, ...)
{
kind <- match.arg(kind)
n <- attr(x, "n")
if (kind == "dendrogram") {
cl <- hclust(as.dist(x), method = cluster, members = n)
cl <- as.dendrogram(cl, hang = 0)
w <- diag(x)[labels(cl)]
tr <- unlist(dendrapply(cl, function(n) attr(n, "height")))
root <- attr(cl, "height")
if (missing(ylim))
ylim <- range(c(w, tr, root), na.rm = TRUE)
plot(cl, ylim = ylim, leaflab = "none", axes = axes, ...)
seqw <- seq_along(w)
for (i in seqw) {
segments(i, tr[i], i, w[i])
}
pos <- ifelse(w < tr, 1, 3)
pos[is.na(pos)] <- 1
w[is.na(w)] <- tr[is.na(w)]
text(seqw, w, labels = labels(cl), pos = pos, srt = 0)
} else {
w <- diag(x)
seqw <- seq_along(w)
tr <- rep(summary(x)$B, length(w))
if (missing(ylim))
ylim <- range(c(w, tr), na.rm = TRUE)
plot(seqw, tr, ylim = ylim, axes = FALSE, xlab = "", ylab = "",
type = "l", ...)
if (axes)
axis(2, ...)
for (i in seqw) segments(i, tr, i, w[i])
pos <- ifelse(w < tr, 1, 3)
pos[is.na(pos)] <- 1
text(seqw, w, labels = names(n), pos = pos, srt = 0,
xpd = TRUE, ...)
}
}
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