Try

x<-rowMeans(matrix((rbinom(1000,4,.45)-4*.45)/sqrt(.45*.55/4),ncol=10))

hist(x,freq=F,ylim=c(0,.5))  ### The key is the freq=F option.

curve(dnorm(x),add=T)  ### You can use curve to plot a function

lines(density(x))  ### Or density for a kernel density estimate.

-tgs

On Thu, May 6, 2010 at 8:42 PM, Roslina Zakaria <zrosl...@yahoo.com> wrote:

> Hi r-users,
>
> I would like to overlap a smooth line on the histogram.  I tried using
> spline but it does not work.
>
> sq     <- seq(0,900,by=50)
> sq.50  <- as.character(sq)
> datobs <- sum_pos
> ## first, plot histogram
> histo <- hist(datobs,breaks=sq,freq=F)
> ## extract counts from histogram and calculate the probability in
> ## each specified interval. Also check the length of the interval is
> ## the same with the length of the fitted model.
> hct   <- c(0,histo$counts)/length(datobs)
> ## use barplot and lines to overlap the observed and fitted data
>
> > y <- pdf_formula.2*50
>  [1] 0.000000e+00 2.422196e-01 2.445114e-01 1.826918e-01 1.236800e-01
> 7.965830e-02 4.978001e-02 3.048459e-02 1.839873e-02
> [10] 1.098342e-02 6.500920e-03 3.821499e-03 2.233833e-03 1.299656e-03
> 7.531443e-04 4.349116e-04 2.494558e-04 1.365303e-04
> [19] 6.142313e-05
>
> barplot.x.location <-
> barplot(hct, ylim=c(0,0.25),col="yellowgreen",
> main="Observed data and fitted gamma sum",
> xlab="Rainfall (mm)", ylab="Relative frequency",
> names.arg = sq.50, axisnames = TRUE, axis.lty=1,
> cex.axis= 0.8,cex.names= 0.8, xaxs='i', yaxs='i')
> lines(x = barplot.x.location, y = pdf_formula.2*50,
>        col = "red", pch = 7, lwd=3, cex.axis= 0.7)
>
> Thank you for any help given.
>
>
>
>
>
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>
>
> ______________________________________________
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>
>

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