感谢"Combine a ggplot2 object with a lattice object in one plot"中的优秀答案以及一些进一步的想法,我可以在lattice
旁边绘制ggplot
地块:
library(ggplot2)
library(lattice)
library(gtools)
library(plyr)
library(grid)
library(gridExtra)
set.seed(1)
mdat <- data.frame(x = rnorm(100), y = rnorm(100), veryLongName = rnorm(100),
cluster = factor(sample(5, 100, TRUE)))
cols <- c("x", "y", "veryLongName")
allS <- adply(combinations(3, 2, cols), 1, function(r)
data.frame(cluster = mdat$cluster,
var.x = r[1],
x = mdat[[r[1]]],
var.y = r[2],
y = mdat[[r[2]]]))
sc <- ggplot(allS, aes(x = x, y = y, color = cluster)) + geom_point() +
facet_grid(var.x ~ var.y) + theme(legend.position = "top")
sc3d <- cloud(veryLongName ~ x + y, data = mdat, groups = cluster)
scG <- ggplotGrob(sc)
sc3dG <- gridExtra:::latticeGrob(sc3d)
ids <- which(scG$layout$name %in%
c(paste("axis", c("l", "b"), sep = "-"), "panel"))
scG$grobs[ids[c(2, 4, 7)]] <- list(nullGrob(), nullGrob(), nullGrob())
grid.newpage()
grid.draw(scG)
pushViewport(viewport(0, 0, width = .515, height = .46,
just = c("left", "bottom")))
grid.rect()
grid.draw(sc3dG)
正如你在图片中看到的那样,在格子图周围有一些边缘,并且在它的顶部,z轴的轴标签被切割(情况不是我绘制lattice
图单独的)。
那么我怎样才能摆脱这种行为,从而如何解决以下两个问题:
答案 0 :(得分:3)
这些设置可能位于?xyplot
的某个位置,但我发现它读取互联网的速度更快,
theme.novpadding <-
list(layout.heights =
list(top.padding = 0,
main.key.padding = 0,
key.axis.padding = 0,
axis.xlab.padding = 0,
xlab.key.padding = 0,
key.sub.padding = 0,
bottom.padding = 0),
axis.line = list(col = 0),
clip =list(panel="off"),
layout.widths =
list(left.padding = 0,
key.ylab.padding = 0,
ylab.axis.padding = 0,
axis.key.padding = 0,
right.padding = 0))
sc3d <- cloud(veryLongName ~ x + y, data = mdat, groups = cluster,
par.settings = theme.novpadding )
scG <- ggplotGrob(sc)
sc3dG <- grobTree(gridExtra:::latticeGrob(sc3d),
rectGrob(gp=gpar(fill=NA,lwd=1.2)))
ids <- which(scG$layout$name %in%
c(paste("axis", c("l", "b"), sep = "-"), "panel"))
scG$grobs[ids[c(2, 4, 7)]] <- list(nullGrob(), sc3dG, nullGrob())
grid.newpage()
grid.draw(scG)