But the awesome thing is you don't need a for loop at all thanks to the magic of R's vectorization!
This will do it (and much faster than an R level loop would): x = 0:200 # Note that you don't need a c() since you aren't concatenating 0:200 with anything A <- dpois(x,exp(4.5355343)) B <- dpois(x,exp(4.5355343 + 0.0118638)) C <- dpois(x,exp(4.5355343 -0.0234615)) D <- dpois(x,exp(4.5355343 + 0.0316557)) E <- dpois(x,exp(4.5355343 + 0.0004716)) F <- dpois(x,exp(4.5355343 + 0.056437)) G <- dpois(x,exp(4.5355343 + 0.1225822)) Y = A + B + C + D+ E+ F + G plot(x, Y) I'd advise you to look around for a good R guide: (there are quite a few free online, many tailored to specific disciplines) vectorization is pretty sweet and if you don't get into it early, you'll find R to be much more cumbersome and slow than it truly is. Hope this helps, Michael On Mon, Nov 14, 2011 at 10:59 AM, Davg <davidgrim...@hotmail.com> wrote: > I'm very new to R and am trying to create my first loop. > > I have: > > x <-c(0:200) > A <- dpois(x,exp(4.5355343)) > B <- dpois(x,exp(4.5355343 + 0.0118638)) > C <- dpois(x,exp(4.5355343 -0.0234615)) > D <- dpois(x,exp(4.5355343 + 0.0316557)) > E <- dpois(x,exp(4.5355343 + 0.0004716)) > F <- dpois(x,exp(4.5355343 + 0.056437)) > G <- dpois(x,exp(4.5355343 + 0.1225822)) > > and would like to to get A[K] + B[K] + C[K] + D[K] + E[K] + F[K] G[K] > for K(0:200) > > And then plot these cumulative values. > > Many thanks. > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Very-simple-loop-tp4039895p4039895.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > ______________________________________________ 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.