On 14/05/11 10:00, Benjamin Caldwell wrote:
Hello,
I'm trying to compare the fit of two distributions, normal and gamma, to a
histogram of my response variable.
rate<-mean(na.omit(rwb$post.f.crwn.length))/var(na.omit(rwb$post.f.crwn.length))
shape<-rate*mean(na.omit(rwb$post.f.crwn.length))
hist((rwb$post.f.crwn.length), main="rwb$post.f.crwn.length")
lines(seq(0.01,70,0.01),length(rwb$post.f.crwn.length)*dgamma(seq(0.01,70,0.01),shape,rate))
lines(seq(0,70,0.1),length(na.omit(rwb$post.f.crwn.length))*dnorm(seq(0,70,.1),mean(na.omit(rwb$post.f.crwn.length)),sqrt(var(na.omit(rwb$post.f.crwn.length))))
However, the height of the two curves are about 1/3 to 1/4 the height that
they should be compared to the histogram. Any ideas?
Yes. Read the help on "hist"! (Hint: Pay particular attention to the
"freq" and/or "probability" arguments.)
cheers,
Rolf Turner
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