how to extract and plot density using ggplot2

Question

I have a random vector, and trying to make density plot of it using ggplot here is the vector

fridayKlient1<-c(134 ,135, 133, 137, 136)

then i used density over it

res<-density(data)

then i try to convert the result of density to data.frame to prepare for ploting:

  framer<-function(data){return  (data.frame(y=data$y, x=data$x)) }

and then plot it

res<-framer(density(fridayKlient1)) 
ggplot() + 
  geom_density(aes(x=x,y=y), colour="red" , data=res)

. but it complains with:

ggplot2: object 'y' not found

Answer 1

In order to plot the density of a given series, use geom_density. In order to plot an already existing density object, use geom_line.

fridayKlient1 <- c(134 ,135, 133, 137, 136)

res <- density(fridayKlient1)

# plot the results of the density call
ggplot(data.frame(x = res$x, y = res$y)) + 
  aes(x = x, y = y) + geom_line()

# plot the density using ggplot density method
ggplot(data.frame(x = fridayKlient1)) + 
  aes(x = x) + geom_density() + scale_x_continuous(limits = c(130, 140))

Answer 2

ggplot(data = res, aes(x=x)) + 
  geom_density( colour="red" )

This should solve your problem. See geom_density() in ggplot2 docs. Else, go here.