我想绘制一个堆积条形图,如所附的那个,但我希望颜色在类别 aa、bb 和 cc 之间有所不同。具体来说,我希望 bb 中的灰色块为红色,而 cc 中的灰色块为绿色。下面的代码作为一个简单的例子,说明了我已经尝试过的内容:
aa=c(0.2,0.6,0.1,0.1)
bb=c(0.4,0.5,0.05,0.05)
cc=c(0.5,0.25,0.1,0.15)
x=cbind(aa,bb,cc)
x #the data
aa bb cc
[1,] 0.2 0.40 0.50
[2,] 0.6 0.50 0.25
[3,] 0.1 0.05 0.10
[4,] 0.1 0.05 0.15
默认行为,所有块在每个类别中具有相同的颜色
col=rep(c("white","grey"),2)
col
# [1] "white" "grey" "white" "grey"
barplot(x,col=col)
但我想要
bb
中的灰色块为红色和 cc
中的灰色块是绿色的col=cbind(rep(c("white","grey"),2),rep(c("white","red"),2),rep(c("white","green"),2))
col
[,1] [,2] [,3]
[1,] "white" "white" "white"
[2,] "grey" "red" "green"
[3,] "white" "white" "white"
[4,] "grey" "red" "green"
barplot(x,col=col) #not working
col=c(rep(c("white","grey"),2),rep(c("white","red"),2),rep(c("white","green"),2))
col
[1] "white" "grey" "white" "grey" "white" "red" "white" "red" "white" "green" "white" "green"
barplot(x,col=col) #not working either
非常感谢您的任何建议。
最佳答案
这是通过一次向绘图添加一个彩色条来实现的:
# white bars
barplot(x, col='white', axes=F, axisnames=F, yaxp=c(0,1,2), las=1)
cols=c('grey','red','green')
# add coloured bars
for (i in 1:ncol(x)){
xx = x
xx[,-i] <- NA
colnames(xx)[-i] <- NA
barplot(xx,col=c('white',cols[i]), add=T, axes=F)
}
关于r - 堆叠条形图中每个条形的不同颜色 - 基础图形,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/22781685/