You have three problems:
i) Barplot's plot locations are not at 100-700 in your picture.
ii) density applied to your bar hights will produce the density as if
those are x locations, not heights.
iii) density's height is scaled to unit area and not the height of your
bars.
And a statistical issue: barplot typically plots heights for a
categorical list of separate groups, while density assumes that x and y
are pretty much continuous interval scale quantities. Combining the two
would not generally have any useful meaning.
So the bad news is that not a lot of what you're doing is right.
That isn't very helpful, so I'm going to guess at what you might be
trying to do. A thing which _would_ have some useful meaning is a
combination of a histogram (special case of bar plot) and a density
plot.
Let's say you had data like this:
x<-rep(c(100,200,300,400,500,600,700), c(1,2,3,5,2,3,1))
x
(I've guessed at your actual values just for illustration; usually x
would not be simple integer multiples of 100, but it shows the
principle)
Then you could do
hist(x, breaks=seq(50,750,100), freq=FALSE)
lines(density(x))
The freq=FALSE tells the histogram to scale for unit area so the density
line can be compared with the histogram heights.
Does that help?
Steve E
>>> Olga Lyashevska <o...@herenstraat.nl> 03/14/10 9:32 PM >>>
Dear all,
I am making a barplot as following:
barplot(c(1,2,3,5,2,3,1),names.arg=c("100","200","300","400","500","600","700"),xlab="diameter",ylab="flow",main="some
title",space=0.1)
I am also trying to add a probability density curve, however using
lines(density(c(1,2,3,5,2,3,1))) does not give a desired result.
Any tips?
Thanks
Olga
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