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? Thanks *Ben Caldwell* PhD Candidate University of California, Berkeley
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