我正在使用马赛克图（带有mosaicplot()）绘制数据，并且正在考虑将数字轴添加到一维以阐明不同组的大小。但是，我不明白绘图单元如何与轴对齐，因为它在图形设备上的范围似乎从大约 0.2 到 0.98（或类似的东西）。这是一个可重现的示例：
mosaicplot(Titanic, main = "Survival on the Titanic", off = 0)
axis(1, seq(0, 1, by = 0.1))
请注意 0-1 x 轴实际上如何延伸到绘图的左侧和右侧。是否可以添加一组正确缩放的轴标签？
par(mfrow = c(2,1), mar = c(3,4,2,1))
mp(Titanic)
mp(Titanic, off = 0)
这个不难修复，但有几件事情发生了：
pretty（用于计算、绘制和标记刻度和标签）。从这些行中，我们可以看到多边形是沿着 x 从 50 到 950 绘制的（取决于为 设置的内容cex.axis）： x1 <- 30 + 20 * cex.axis/0.66
y1 <- 5
x2 <- 950
y2 <- 1000 - x1
pretty(c(50, 950))，而且我看不到任何方法可以通过mosaicplot类似new或add因为警告消息：在镶嵌图.default(Titanic, new = TRUE) 中：额外的参数 'new' 将被忽略
所以我认为如果不编辑源代码就没有简单的修复（因为看起来你必须回溯上一个图已经将原点移动了多远，以及它如何转换为一个新窗口，这可能不一样每一个情节和等等等等）。
我唯一改变的是添加最后三行。
## graphics:::mosaicplot.default
mp <- function (x, main = deparse(substitute(x)), sub = NULL, xlab = NULL,
ylab = NULL, sort = NULL, off = NULL, dir = NULL, color = NULL,
shade = FALSE, margin = NULL, cex.axis = 0.66, las = par("las"),
border = NULL, type = c("pearson", "deviance", "FT"), ...) {
mosaic.cell <- function(X, x1, y1, x2, y2, srt.x, srt.y,
adj.x, adj.y, off, dir, color, lablevx, lablevy, maxdim,
currlev, label) {
p <- ncol(X) - 2
if (dir[1L] == "v") {
xdim <- maxdim[1L]
XP <- rep.int(0, xdim)
for (i in seq_len(xdim)) XP[i] <- sum(X[X[, 1L] ==
i, p])/sum(X[, p])
if (anyNA(XP))
stop("missing values in contingency table")
white <- off[1L] * (x2 - x1)/max(1, xdim - 1)
x.l <- x1
x.r <- x1 + (1 - off[1L]) * XP[1L] * (x2 - x1)
if (xdim > 1L)
for (i in 2:xdim) {
x.l <- c(x.l, x.r[i - 1L] + white)
x.r <- c(x.r, x.r[i - 1L] + white + (1 - off[1L]) *
XP[i] * (x2 - x1))
}
if (lablevx > 0L) {
this.lab <- if (is.null(label[[1L]][1L])) {
paste(rep.int(as.character(currlev), length(currlev)),
as.character(seq_len(xdim)), sep = ".")
}
else label[[1L]]
text(x = x.l + (x.r - x.l)/2, y = 1000 - 35 *
cex.axis/0.66 + 22 * cex.axis/0.65 * (lablevx -
1), srt = srt.x, adj = adj.x, cex = cex.axis,
this.lab, xpd = NA)
}
if (p > 2L) {
for (i in seq_len(xdim)) {
if (XP[i] > 0) {
Recall(X[X[, 1L] == i, 2L:(p + 2L), drop = FALSE],
x.l[i], y1, x.r[i], y2, srt.x, srt.y, adj.x,
adj.y, off[-1L], dir[-1L], color, lablevx -
1, (i == 1L) * lablevy, maxdim[-1L],
currlev + 1, label[2:p])
}
else {
segments(rep.int(x.l[i], 3L), y1 + (y2 -
y1) * c(0, 2, 4)/5, rep.int(x.l[i], 3L),
y1 + (y2 - y1) * c(1, 3, 5)/5)
}
}
}
else {
for (i in seq_len(xdim)) {
if (XP[i] > 0) {
polygon(c(x.l[i], x.r[i], x.r[i], x.l[i]),
c(y1, y1, y2, y2), lty = if (extended)
X[i, p + 1L]
else 1L, col = color[if (extended)
X[i, p + 2L]
else i], border = border)
}
else {
segments(rep.int(x.l[i], 3L), y1 + (y2 -
y1) * c(0, 2, 4)/5, rep.int(x.l[i], 3L),
y1 + (y2 - y1) * c(1, 3, 5)/5)
}
}
}
}
else {
ydim <- maxdim[1L]
YP <- rep.int(0, ydim)
for (j in seq_len(ydim)) {
YP[j] <- sum(X[X[, 1L] == j, p])/sum(X[, p])
}
white <- off[1L] * (y2 - y1)/(max(1, ydim - 1))
y.b <- y2 - (1 - off[1L]) * YP[1L] * (y2 - y1)
y.t <- y2
if (ydim > 1L) {
for (j in 2:ydim) {
y.b <- c(y.b, y.b[j - 1] - white - (1 - off[1L]) *
YP[j] * (y2 - y1))
y.t <- c(y.t, y.b[j - 1] - white)
}
}
if (lablevy > 0L) {
this.lab <- if (is.null(label[[1L]][1L])) {
paste(rep.int(as.character(currlev), length(currlev)),
as.character(seq_len(ydim)), sep = ".")
}
else label[[1L]]
text(x = 35 * cex.axis/0.66 - 20 * cex.axis/0.66 *
(lablevy - 1), y = y.b + (y.t - y.b)/2, srt = srt.y,
adj = adj.y, cex = cex.axis, this.lab, xpd = NA)
}
if (p > 2L) {
for (j in seq_len(ydim)) {
if (YP[j] > 0) {
Recall(X[X[, 1L] == j, 2:(p + 2), drop = FALSE],
x1, y.b[j], x2, y.t[j], srt.x, srt.y, adj.x,
adj.y, off[-1L], dir[-1L], color, (j ==
1L) * lablevx, lablevy - 1, maxdim[-1L],
currlev + 1, label[2:p])
}
else {
segments(x1 + (x2 - x1) * c(0, 2, 4)/5, rep.int(y.b[j],
3L), x1 + (x2 - x1) * c(1, 3, 5)/5, rep.int(y.b[j],
3L))
}
}
}
else {
for (j in seq_len(ydim)) {
if (YP[j] > 0) {
polygon(c(x1, x2, x2, x1), c(y.b[j], y.b[j],
y.t[j], y.t[j]), lty = if (extended)
X[j, p + 1]
else 1, col = color[if (extended)
X[j, p + 2]
else j], border = border)
}
else {
segments(x1 + (x2 - x1) * c(0, 2, 4)/5, rep.int(y.b[j],
3L), x1 + (x2 - x1) * c(1, 3, 5)/5, rep.int(y.b[j],
3L))
}
}
}
}
}
srt.x <- if (las > 1)
90
else 0
srt.y <- if (las == 0 || las == 3)
90
else 0
if (is.null(dim(x)))
x <- as.array(x)
else if (is.data.frame(x))
x <- data.matrix(x)
dimd <- length(dx <- dim(x))
if (dimd == 0L || any(dx == 0L))
stop("'x' must not have 0 dimensionality")
if (!missing(...))
warning(sprintf(ngettext(length(list(...)), "extra argument %s will be disregarded",
"extra arguments %s will be disregarded"), paste(sQuote(names(list(...))),
collapse = ", ")), domain = NA)
Ind <- 1L:dx[1L]
if (dimd > 1L) {
Ind <- rep.int(Ind, prod(dx[2:dimd]))
for (i in 2:dimd) {
Ind <- cbind(Ind, c(matrix(1L:dx[i], byrow = TRUE,
nrow = prod(dx[1L:(i - 1)]), ncol = prod(dx[i:dimd]))))
}
}
Ind <- cbind(Ind, c(x))
if (is.logical(shade) && !shade) {
extended <- FALSE
Ind <- cbind(Ind, NA, NA)
}
else {
if (is.logical(shade))
shade <- c(2, 4)
else if (any(shade <= 0) || length(shade) > 5)
stop("invalid 'shade' specification")
extended <- TRUE
shade <- sort(shade)
breaks <- c(-Inf, -rev(shade), 0, shade, Inf)
color <- c(hsv(0, s = seq.int(1, to = 0, length.out = length(shade) +
1)), hsv(4/6, s = seq.int(0, to = 1, length.out = length(shade) +
1)))
if (is.null(margin))
margin <- as.list(1L:dimd)
E <- stats::loglin(x, margin, fit = TRUE, print = FALSE)$fit
type <- match.arg(type)
residuals <- switch(type, pearson = (x - E)/sqrt(E),
deviance = {
tmp <- 2 * (x * log(ifelse(x == 0, 1, x/E)) -
(x - E))
tmp <- sqrt(pmax(tmp, 0))
ifelse(x > E, tmp, -tmp)
}, FT = sqrt(x) + sqrt(x + 1) - sqrt(4 * E + 1))
Ind <- cbind(Ind, c(1 + (residuals < 0)), as.numeric(cut(residuals,
breaks)))
}
label <- dimnames(x)
if (is.null(off))
off <- if (dimd == 2)
2 * (dx - 1)
else rep.int(10, dimd)
if (length(off) != dimd)
off <- rep_len(off, dimd)
if (any(off > 50))
off <- off * 50/max(off)
if (is.null(dir) || length(dir) != dimd) {
dir <- rep_len(c("v", "h"), dimd)
}
if (!is.null(sort)) {
if (length(sort) != dimd)
stop("length of 'sort' does not conform to 'dim(x)'")
Ind[, seq_len(dimd)] <- Ind[, sort]
off <- off[sort]
dir <- dir[sort]
label <- label[sort]
}
nam.dn <- names(label)
if (is.null(xlab) && any(dir == "v"))
xlab <- nam.dn[min(which(dir == "v"))]
if (is.null(ylab) && any(dir == "h"))
ylab <- nam.dn[min(which(dir == "h"))]
ncolors <- length(tabulate(Ind[, dimd]))
if (!extended && ((is.null(color) || length(color) != ncolors))) {
color <- if (is.logical(color))
if (color[1L])
gray.colors(ncolors)
else rep.int(0, ncolors)
else if (is.null(color))
rep.int("grey", ncolors)
else rep_len(color, ncolors)
}
dev.hold()
on.exit(dev.flush())
plot.new()
if (!extended) {
opar <- par(usr = c(1, 1000, 1, 1000), mgp = c(1, 1,
0))
on.exit(par(opar), add = TRUE)
}
else {
pin <- par("pin")
rtxt <- "Standardized\nResiduals:"
rtxtCex <- min(1, pin[1L]/(strheight(rtxt, units = "inches") *
12), pin[2L]/(strwidth(rtxt, units = "inches")/4))
rtxtWidth <- 0.1
opar <- par(usr = c(1, 1000 * (1.1 + rtxtWidth), 1, 1000),
mgp = c(1, 1, 0))
on.exit(par(opar), add = TRUE)
rtxtHeight <- strwidth(rtxt, units = "i", cex = rtxtCex)/pin[2L]
text(1000 * (1.05 + 0.5 * rtxtWidth), 0, labels = rtxt,
adj = c(0, 0.25), srt = 90, cex = rtxtCex)
len <- length(shade) + 1
bh <- 0.95 * (0.95 - rtxtHeight)/(2 * len)
x.l <- 1000 * 1.05
x.r <- 1000 * (1.05 + 0.7 * rtxtWidth)
y.t <- 1000 * rev(seq.int(from = 0.95, by = -bh, length.out = 2 *
len))
y.b <- y.t - 1000 * 0.8 * bh
ltype <- c(rep.int(2, len), rep.int(1, len))
for (i in 1:(2 * len)) {
polygon(c(x.l, x.r, x.r, x.l), c(y.b[i], y.b[i],
y.t[i], y.t[i]), col = color[i], lty = ltype[i],
border = border)
}
brks <- round(breaks, 2)
y.m <- y.b + 1000 * 0.4 * bh
text(1000 * (1.05 + rtxtWidth), y.m, c(paste0("<", brks[2L]),
paste(brks[2:(2 * len - 1)], brks[3:(2 * len)], sep = ":"),
paste0(">", brks[2 * len])), srt = 90, cex = cex.axis,
xpd = NA)
}
if (!is.null(main) || !is.null(xlab) || !is.null(ylab) ||
!is.null(sub))
title(main, sub = sub, xlab = xlab, ylab = ylab)
adj.x <- adj.y <- 0.5
x1 <- 30 + 20 * cex.axis/0.66
y1 <- 5
x2 <- 950
y2 <- 1000 - x1
maxlen.xlabel <- maxlen.ylabel <- 35 * cex.axis/0.66
if (srt.x == 90) {
maxlen.xlabel <- max(strwidth(label[[dimd + 1L - match("v",
rev(dir))]], cex = cex.axis))
adj.x <- 1
y2 <- y2 - maxlen.xlabel
}
if (srt.y == 0) {
maxlen.ylabel <- max(strwidth(label[[match("h", dir)]],
cex = cex.axis))
adj.y <- 0
x1 <- x1 + maxlen.ylabel
}
mosaic.cell(Ind, x1 = x1, y1 = y1, x2 = x2, y2 = y2, srt.x = srt.x,
srt.y = srt.y, adj.x = adj.x, adj.y = adj.y, off = off/100,
dir = dir, color = color, lablevx = 2, lablevy = 2,
maxdim = apply(as.matrix(Ind[, 1L:dimd]), 2L, max),
currlev = 1, label = label)
## new stuff
at <- seq(x1, x2, length.out = 6)
axis(1, at, (at - min(at)) / diff(range(at)))
invisible()
}