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我对R非常陌生(今天才开始使用它),并且我试图在彼此之上绘制多个直方图。香港专业教育学院碰到过几篇文章,谈论如何相互绘制两个直方图,但没有找到任何解释如何做多次的图。专门针对我的示例,5。
我有5个要绘制的堆积直方图的值。
a <- c(15.625,12.5,14,15.75,15.375,18.813)
cs <- c(15.875, 7.875, 6.625, 6, 6.5, 9, 7.375, 7.625, 6.875, 7.25, 7.5, 6.75, 6.75, 7.5, 6.75, 6.75, 10.25, 8.625, 8.875, 10.125, 11.75, 11, 16.5, 15.75, 14, 13, 12.5, 13.875, 13.5, 15.25, 17, 15.125, 15.75, 15.25, 13.625, 12.625, 11.375, 12.625, 11.875, 11.375, 16, 18.25, 20.25, 18.125, 22.5, 24.75, 27.5, 28.375, 31.125, 37.75, 32.75, 30.375, 31.875, 33.25, 34.625, 28.5, 28.875, 23.5, 24.625, 22.5, 18, 20.25, 24.875, 26.125, 30.25, 32.375, 36.5, 32.75, 35.25, 28.5, 29, 32.875, 34.5, 34.625, 31.875, 32.375, 29.5, 27.5, 26.875, 28.375, 30.25, 24.75, 26.75, 30.75, 29.625, 35.375, 31.875, 34.875, 40, 44.375, 32.25, 34.25, 35, 43.875, 46.125, 46.625, 29, 22.875, 24.25, 20.125, 25.125, 25.5, 25.875, 24.5, 24.25, 24.5, 24.125, 25, 23, 25, 30.25, 32, 37.5, 37.5, 32, 36.625, 40.625, 40.5, 47, 42.75)
e<- c(10.5, 13.188, 11.125, 10.938, 11.5, 17.625, 24, 18, 15, 17.625, 19.625, 30.5, 32.125)
qr <- c(17.625, 15, 14.875, 17.125, 17.375, 18, 14.75, 18, 17, 17.875, 15.25, 15.5, 23.375, 23.75, 23.125, 20.625, 22.625, 24, 24.125, 22.875, 20.125, 22.25, 25.5, 32.5, 36.375, 39.125, 39, 30.375, 33.375, 35.5, 29, 28.75, 23.875, 32.125, 29.5, 26.75, 36.125, 36.875, 36, 21.375, 21.5, 19.25, 20.25, 24.625, 23, 12.125, 11.625, 12.5, 12.625, 13.5, 12.25, 12.625, 11.5, 11.875, 11.5, 11.25, 11.75, 11.75, 11.5, 10.875, 15, 13.75, 13.25, 13, 16.125, 14, 16.5, 17, 16.75, 15.75, 14.875, 13.625, 12, 13.625, 13.25, 13, 15.25, 14, 13.5, 11.375, 10.375, 9.75, 10.125, 10.25, 13.125, 16.125, 18.875, 17.5, 17.75, 17, 19.625, 20.625, 19.25, 20.375, 20, 27.75, 27.5, 28.5, 28.625, 21.5, 21.5, 21, 20.125, 19.625, 20.125, 21, 25.375, 24.75, 27, 26, 27.125, 25.125, 26.125, 28.875, 30.75, 35, 36.25, 35.875, 34.25, 35.75, 35.375, 28.375, 25.625, 26.375, 26.875, 25.375, 24.75, 29.25, 25.875, 25.75, 24.75, 28.375, 30.875, 35, 35.5, 40.625, 47, 36.625, 38.5, 37.375, 45.875, 23.75, 25.375, 20.5, 23.25, 26.25, 29.5, 30.5, 33.875, 32.5, 28.375, 29.25, 26.5, 26.25, 28.375, 29.875, 36.625, 35, 20.875, 22.125, 23, 23.25, 26.25, 34.25)
w <- c(6.938, 8, 8.25, 7.5, 8, 6.25, 6, 5.25, 4.5, 4.75, 6, 5.875, 6.25, 5, 3.5, 3.25, 4, 3.375, 3.5, 2.75, 3.75, 3.75, 4.75, 4.25, 5, 6, 6, 5.75, 5.625, 5.375, 5, 4.5, 4.375, 3.75, 4.25, 4.375, 4.25, 4.75, 4.625, 4.375, 4.25, 4, 3.75, 3.625, 3.75, 4.5, 6.125, 7, 8.25, 8, 10.375, 10.75, 14.25, 14, 15.5, 27.5, 26.5, 21.75, 25.375, 20.625, 21.75, 17.125, 17.625, 13.75, 14.375, 15.625, 20.75, 20.5, 25.25, 24.375, 20.5, 18.5, 27.25, 33.5, 33, 42.625, 50.125, 47.25, 25.75, 21.25, 21.25, 20.5, 17.625, 16, 15.25, 13.375, 13, 17, 14.125, 16.125, 14.25, 12.25, 14.5, 17.375, 16.125, 15.625, 17.5, 23, 27.625, 28.625, 25.5, 19.75, 19.75, 24.75, 23.625, 24.625, 33.375, 36.25, 36.625, 37.125, 37.625, 37.375, 37.875)
最佳答案
你可以用reshape和ggplot2这样做
require(reshape2) # this is the library that lets you flatten out data
require(ggplot2) # plotting library
bucket<-list(a=a,cs=cs,e=e,qr=qr,w=w) # this puts all values in one list
# the melt command flattens the 'bucket' list into value/vectorname pairs
# the 2 columns are called 'value' and 'L1' by default
# 'fill' will color bars differently depending on L1 group
ggplot(melt(bucket), aes(value, fill = L1)) +
#call geom_histogram with position="dodge" to offset the bars and manual binwidth of 2
geom_histogram(position = "dodge", binwidth=2)
geom_histogram(position = "stack", binwidth=2)
关于r - 如何在R中一起绘制多个堆叠的直方图?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/20184096/
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