Thanks alot I found the function
x0 <- c(0, sort(Sample))
p0 <- 0:1000/1000
lines(x0, p0, type = "S", col = "blue")
Very helpfull
As it seems to plot an instantaneous representation of the variables in the
gamma distribution
Bill.Venables wrote:>
> Here are some ideas you might like to consider
>
> par(mar = c(5,4,2,4)+0.1, yaxs = "r")
> Sample <- rgamma(1000,2.5,.8)
> hist(Sample, main = "", freq = FALSE, ylim = c(0,1))
>
> pu <- par("usr")[1:2]
> x <- seq(pu[1], pu[2], len = 5000)
> y <- pgamma(x, 2.5, 0.8)
> par(new = TRUE)
> plot(x, y, type = "l", axes = FALSE, ann = FALSE, col =
"red")
> lines(x, dgamma(x, 2.5, 0.8), col = "darkgreen")
>
> axis(4, col = "red")
> mtext(side = 4, text = "Cumulative probability", col =
"red", line = 2.5)
>
> x0 <- c(0, sort(Sample))
> p0 <- 0:1000/1000
> lines(x0, p0, type = "S", col = "blue")
>
>
> Bill Venables
> http://www.cmis.csiro.au/bill.venables/
>
>
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at
r-project.org]
> On Behalf Of beetle2
> Sent: Wednesday, 13 May 2009 3:23 PM
> To: r-help at r-project.org
> Subject: [R] Overlay cdf
>
>
> Hi,
> Is it possible to overlay a cummulative distribution function on a
> histogram of a gamma distribuition.
>
> I have a gamma function
>
> Sample = rgamma(1000,2.5,.8)+1.5
> hist(Sample)
>
> regards
>
>
> --
> View this message in context:
> http://www.nabble.com/Overlay-cdf-tp23515551p23515551.html
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>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
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