R中的图+线的ggplot应该如何等效? [英] How should be a ggplot equivalent of plot + lines in R?
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问题描述
使用plot
和lines
,我可以在R中的同一范围内绘制多个图重叠.例如,我可以绘制数据的密度,然后在同一图上模拟密度分布,如下所示:>
With plot
and lines
I can make multiple plots overlapped in the same range in R. For example, I can plot the density of a data and then simulate a density distribution in the same plot as follows:
plot(density(mtcars$mpg), col = "red")
polygon(density(mtcars$mpg), col = "red")
x <- seq(0, 50, length=1000)
hxn <- dnorm(x,mean=mean(mtcars$mpg), sd = sd(mtcars$mpg))
lines(x,hxn, col="green")
获取
如何使用ggplot
执行相同操作(在同一图中同时引入数据mtcars$mpg
和模拟(x,hxn)
的密度)?
我将从
How can I do the same (introduce both the density of the data mtcars$mpg
and the simulation (x,hxn)
in the same plot) with ggplot
?
I would start by
library(ggplot2)
ggplot(mtcars,aes(x=mpg))+geom_density(color = "red", fill = "red")+xlim(0,40)
但是我不知道如何覆盖x,hxn
数据.
but then I do not know how to overlay the x,hxn
data.
谢谢!
推荐答案
您可以执行以下操作:
ggplot(mtcars,aes(x=mpg))+
geom_density(color = "red", fill = "red")+
xlim(0,40) +
stat_function(fun = dnorm, args = list(mean = mean(mtcars$mpg), sd = sd(mtcars$mpg)))
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