ggplot2直方图与不同变量重叠 [英] Overlapping ggplot2 histograms with different variables

问题描述

如果我有2个不同的变量要绘制为直方图，该怎么办?举个例子:

If I had 2 different variables to plot as histograms, how would I do it? Take an example of this:

data1 <- rnorm(100)
data2 <- rnorm(130)

如果我想在同一图中绘制data1和data2的直方图，有办法吗?

If I want histograms of data1 and data2 in the same plot, is there a way of doing it?

推荐答案

只需添加另一个 geom_histogram 层，即可在同一图中获得它们:

You can get them in the same plot, by just adding another geom_histogram layer:

## Bad plot
ggplot() + 
  geom_histogram(aes(x=data1),fill=2) + 
  geom_histogram(aes(x=data2)) 

但是，更好的主意是使用密度图:

However, a better idea would be to use density plots:

d = data.frame(x = c(data1, data2), 
               type=rep(c("A", "B"), c(length(data1), length(data2))))
ggplot(d) + 
  geom_density(aes(x=x, colour=type))

或方面:

##My preference
ggplot(d) + 
  geom_histogram(aes(x=x)) + 
  facet_wrap(~type)

或使用条形图(感谢@rawr)

or using barplots (thanks to @rawr)

ggplot(d, aes(x, fill = type)) + 
  geom_bar(position = 'identity', alpha = .5)

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