x <- seq(from = 0, to = 10, by = .01)
plot(x, dchisq(x = x, df = 1), main = "title", sub = "subtitle", type = "l",
xlab = "x-title", ylab = "y-title", ylim = c(0, .4), col = "red")
lines(x, dchisq(x = x, df = 2), type = "l", col = "green")
lines(x, dchisq(x = x, df = 3), type = "l", col = "blue")
lines(x, dchisq(x = x, df = 4), type = "l", col = "pink")
lines(x, dchisq(x = x, df = 5), type = "l", col = "darkgreen")
On Aug 17, 2010, at 1:57 PM, maiya wrote:
Hi! This is going to be a real newbie question, but I can't figure it out.
I'm trying to plot densities of various functions of chi-square. A simple
chi-square plot I can do with dchisq(). But e.g. chi.sq/degrees of freedom I
only know how to do using density(rchisq()/df). For example:
plot(1, type="n", xlab="", ylab="", xlim=c(0,2), ylim=c(0,7))
for (i in c(10,50,100,200,500)){
lines(density(rchisq(100000,i)/i))
}
But even with 100,000 samples the curves still aren't smooth. Surely there
must be a more elegant way to do this?
Thanks!
Maja
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