"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...
--
O__ ---- Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
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