Image 如何将图片指定给堆叠条形图

Image 如何将图片指定给堆叠条形图,image,r,import,stacked,Image,R,Import,Stacked,我正在处理堆叠的条形图,但我需要在这里将图像手动分配到特定的堆栈上 在R怎么做 DF = data.frame(names = c("tomato", "potato", "cabbage", "sukuma-wiki", "terere"), freq=c(7,4,5,8,20)) barplot(as.matrix(DF[,2]), col=heat.colors(length(DF[,2])),

我正在处理堆叠的条形图,但我需要在这里将图像手动分配到特定的堆栈上

在R怎么做

DF = data.frame(names = c("tomato", "potato", "cabbage", 
                          "sukuma-wiki", "terere"),
                freq=c(7,4,5,8,20))
barplot(as.matrix(DF[,2]), col=heat.colors(length(DF[,2])), 
        legend=DF[,1], xlim=c(0,9), width=2)

这里有一种方法,你可以用
网格来实现它

# libraries
library(jpeg)
library(grid)

# a is your image
a <- readJPG("foo.jpg")

# ypos.img is at which height of the barchart you want to place the image
ypos.img <- 10

# Create a new polot
grid.newpage()
pushViewport(viewport(width=0.9, height=0.9))

# add image
pushViewport(viewport(yscale=c(0,sum(DF[,2])), xscale=c(0,1), x=0, y=0, width=0.4, height=1, just=c("left", "bottom")))
grid.raster(a, y=unit(ypos.img, "native"))

# add barplot
popViewport()
pushViewport(viewport(x=0.4, y=0, width=0.6, height=1, just=c("left", "bottom")))
pushViewport(dataViewport(xscale=c(0,2), yscale=c(0, sum(DF[,2]))))
cols <- heat.colors(length(DF[,2]))

for (i in 1:nrow(DF)) {
 start <- 0 
 if (i > 1) start <- sum(DF[1:(i-1), 2])
 grid.rect(x=0, y=start, width=1, height=DF[i, 2], default.units="native", just=c("left", "bottom"), gp=gpar(fill=cols[i]))
}

popViewport(2)

# Legend
pushViewport(viewport(x=0.75, y=0, width=0.25, height=1, just=c("left", "bottom")))
ypos <- 0.8
for (i in 1:nrow(DF)) {
 grid.rect(x=0.05, y=ypos, width=0.1, height=0.05, just=c("left", "bottom"), gp=gpar(fill=cols[i]))
 grid.text(DF[i,1], x=0.2, y=ypos, just=c("left", "bottom"))
 ypos <- ypos - 0.05
}

popViewport()
#库
图书馆(jpeg)
图书馆(网格)
#a你的形象是什么

a我会用ggplot2来解决这个问题,尽管base也可能是可行的。以下是更新手册:。请参见第22-23页,但在此情况下,需要手动设置图像的位置。我需要为每个绘图动态生成100000个绘图,在输入文件中使用不同的手位置。我该怎么做呢?谢谢,这对我来说很好。有没有办法根据颜色的值来表示颜色的强度。我的意思是热色强度应根据数值(亮或暗)。查看
?gpar
,然后可以调整
alpha
值。如果它对你有用,也请考虑回答这个问题。