本文介绍了完全没有边界的绘图的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我在 png 图像文件上设置了一个带有透明叠加散点图的漂亮图.我希望我的绘图窗口和我的 pdf 输出与我的 png-962x745 的大小完全相同.
I set up a nice plot with a transparent superimposed scatterplot on a png image file. I want my plot window and my pdf output to be of the exact same size as my png- 962x745.
然而,即使在关闭轴、注释和框架之后,R 仍然在图像周围留下边框.
However, even after turning off axes, annotations and frames, R still leaves a border around the image.
这可以用一个简单的例子来说明:这个图显示了两个点,它们应该在图的最外端.但他们不是:
This can be shown with an easy example: This plot shows two dots, which should be at the outermost ends of the plot. But they aren't:
plot(rbind(c(1,745),c(962,1)),bty ="n",axes=F,frame.plot=F, xaxt='n', ann=FALSE, yaxt='n', asp=745/962)
与 PDF 设备一起使用:
And together with the PDF device:
pdf(width=10.02,height=7.76)
par(mar=rep(0, 4),mai=rep(0, 4), xpd = NA)
plot(rbind(c(1,745),c(962,1)),bty ="n",axes=F,frame.plot=F, xaxt='n', ann=FALSE, yaxt='n', asp=745/962)
dev.off()
推荐答案
你也可以使用 grid
图形来避开那些默认轴等
You could also use grid
graphics to avoid those default axes, etc.
library(jpeg)
library(grid)
d = data.frame(x=rnorm(100, 10), y=rnorm(100, -100))
utils::download.file("http://i.imgur.com/5MexD.jpg", "img.jpg")
img = readJPEG("img.jpg")
w <- convertUnit(unit(ncol(img),"pt"), "in", value=TRUE)
h <- convertUnit(unit(nrow(img),"pt"), "in", value=TRUE)
dev.new(width=w, height=h)
grid.raster(img, width=unit(1,"npc"), height=unit(1,"npc"))
v = dataViewport(xData=d$x, yData=d$y)
grid.points(d$x,d$y, default.units="native", vp=v,
gp=gpar(col="white"), pch=8)
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