Here is one way: # use 'lapply' to generate your list of 'sets' sets <- lapply(1:100, function(x){ # create your set of data runif(100) # test data }) # put into matrix for 'matplot' # generates a very busy plot with 100 sets of data sets.m <- do.call(cbind, sets) matplot(sets.m, type='l')
On Wed, Aug 5, 2009 at 4:27 AM, Michael Nahasapeemapetilon<vol...@hotmail.com> wrote: > Hi, > I am trying to generate 100 different random walks each containing 500 > variables. > > The script I am using to develop one time series: >> x <- w <- rnorm(500) >> for (t in 2:500) x[t] <- x[t - 1] + w[t] > > >From here I become stuck as I would like to generate a series and name it > Set1 for the first set, then Set2 for the second....Set(n) > I have tried rep() to generate the 100 time series and it works, but it > appears my issue is in naming and storing the sets. > > The reason is that I would like to plot all 100 simulated sets onto one > graph. > > If anyone has any hints/ideas for me to explore to achieve this, it is > greatly appreciated! > > Thank you in advance. > > ______________________________________________ > 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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ 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.