take a look at the distr package library(distr) U <- Unif() U2 <- U + U # or U2 <- convpow(U, 2) plot(U2) # or curve(d(U2)(x), from = 0, to = 2)
Best Matthias On 24.05.2012 08:29, c...@mail.tu-berlin.de wrote:
Hi, I want to convolve 2 uniform distributed [0,1] variables, so that I get this graphic: http://de.wikipedia.org/wiki/Benutzer:Alfred_Heiligenbrunner/Liste_von_Verteilungsdichten_der_Summe_gleichverteilter_Zufallsvariabler (second graphic) if I do u1<-seq(0,1,length=100) fu1=dunif(u1,min=0,max=1) plot(u1,fu1,type="l",xlim=c(-2,2)) u2<-seq(0,1,length=100) fu2=dunif(u2,min=0,max=1) u1u2<-convolve(u1,rev(u1),typ="o") plot(u1u2) it does not work, could you help me please? The point is the convolve function I think, what do I have to type, to get the correct convolution of two uniform distributed [0,1] variables as to be seen in the second graphic in the given link? Thanks a lot ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
-- Prof. Dr. Matthias Kohl www.stamats.de ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
