堆积条形图的位置图例

时间:2013-09-08 21:30:55

标签: r plot bar-chart

我正在尝试创建一个堆积条形图,但我无法定位图例,以便它不会与任何条形图重叠。我尝试使用单独的xlim语句调整边距,设置legend并在此处搜索,但都没有成功。实际上,示例数据集的代码来自StackOverflow。我使用基础R并且更喜欢基础R解决方案。谢谢你的任何建议。

setwd('c:/users/mmiller21/simple R programs/')

jpeg(filename = "barplot.jpeg")

set.seed(1234)
x <- replicate(8, round(10 * rexp(2000, 10)))
y <- apply(x, 2, function(column) table(factor(column, levels = 0:9)))
colnames(y) <- paste('A', seq(1,ncol(y),1), sep='')
rownames(y) <- paste('R', seq(1,nrow(y),1), sep='')
y

#      A1  A2  A3  A4  A5  A6  A7  A8
# R1  769 800 790 806 792 787 834 801
# R2  779 733 793 757 786 744 731 776
# R3  284 297 278 272 263 301 280 275
# R4  112 106  91 124 106 103 104  96
# R5   33  38  37  26  36  37  30  36
# R6   11  18   7  11  10  20  11   9
# R7    8   8   3   2   3   3   9   5
# R8    4   0   1   2   4   4   0   2
# R9    0   0   0   0   0   1   1   0
# R10   0   0   0   0   0   0   0   0

par(mfrow=c(1, 1), mar=c(5, 5, 4, 2) + 0.1)
barplot(y, col = 1:nrow(y), ylab="My Variables", legend.text = TRUE, 
        args.legend = list(x = "topright", bty = "n"))

dev.off()

enter image description here

4 个答案:

答案 0 :(得分:15)

这个怎么样:

library(RColorBrewer)

barplot(
    y,
    xlim=c(0, ncol(y) + 3),
    col=brewer.pal(nrow(y), "Paired"),
    ylab="My Variables",
    legend.text=TRUE,
    args.legend=list(
      x=ncol(y) + 3,
      y=max(colSums(y)),
      bty = "n"
    )
)

enter image description here

答案 1 :(得分:8)

有利润

par(mfrow=c(1, 1), mar=c(5, 5, 4, 8))
barplot(y, col = 1:nrow(y), ylab="My Variables", legend.text = TRUE, 
        args.legend = list(x = "topright", bty = "n", inset=c(-0.15, 0)))

答案 2 :(得分:6)

只是为了好玩,这里是ggplot2,没有重叠的传说。

set.seed(1234)
x <- replicate(8, round(10 * rexp(2000, 10)))
y <- apply(x, 2, function(column) table(factor(column, levels = 0:9)))
y <- as.data.frame(y)
colnames(y) <- paste('A', seq(1,ncol(y),1), sep='')
rownames(y) <- paste('R', seq(1,nrow(y),1), sep='')

library(ggplot2)
library(reshape)
y$ID <- rownames(y)
y.melt <- melt(y, id.var = 'ID')

y.melt <- within(y.melt, ID <- factor(ID, 
    c('R10','R9','R8','R7','R6','R5','R4','R3','R2','R1'), 
    ordered = TRUE))

ggplot(y.melt, aes(x = variable, y = value, fill = ID)) +
    geom_bar(stat = 'identity') +
    xlab("") +
    ylab("My variable") +
    theme(legend.title=element_blank())

bar chart

答案 3 :(得分:-1)

您应该在xpd=TRUE

中添加par()
par(mfrow=.., mar=...,xpd=TRUE)