hope this helps. spencer graves
Peter Dalgaard BSA wrote:
"Paul Meagher" <[EMAIL PROTECTED]> writes:
I am wanting to construct a probability distribution for height and then, hopefully, visually and analytically demonstrate that it is normally distributed.
These are the commands I have developed so far:
fat <- read.table("fat.dat", header=TRUE) mu <- mean(fat$height) sdev <- sd(fat$height) hist(fat$height, br=20, freq=FALSE, xlab="Male Height in Inches") curve(dnorm(x, mu, sdev), from=64, to=78)
I do not know how to overlay the curve graphic on top of hist graphic.
I am hoping to show visually that the normal curve overlays the obtained probability distribution when plotted on the same graph. Unfortunately, I an not sure how to overlay them. Can anyone point me in the right direction or show me the code.
Using the "add" argument to curve gets you most of the way, but getting the y axis right is a little tricky. You could take a look at the scripts in the ISwR package (sec.1.3), or the book itself...
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