How should be a ggplot equivalent of plot + lines in R? [duplicate]

问题

This question already has an answer here:

Plotting normal curve over histogram using ggplot2: Code produces straight line at 0 (1 answer)

Closed 6 months ago.

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")

obtaining

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)

but then I do not know how to overlay the x,hxn data.

Thanks!

回答1:

You can do this:

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)))

来源：https://stackoverflow.com/questions/56558747/how-should-be-a-ggplot-equivalent-of-plot-lines-in-r