Two additional comments: - depending on the nature of your problem you may be able to get an analytic solution using branching processes. I found this approach successful when I once had to model stem cell growth.
- in addition to NetLogo another alternative to R would be the Julia language which is motivated to some degree by Octave but is actually quite different and is particularly suitable in terms of performance for iterative computations where one iteration depends on the prior one. On Mon, Jan 28, 2019 at 6:32 PM Gabor Grothendieck <ggrothendi...@gmail.com> wrote: > > R has many similarities to Octave. Have a look at: > > https://cran.r-project.org/doc/contrib/R-and-octave.txt > https://CRAN.R-project.org/package=matconv > > On Mon, Jan 28, 2019 at 4:58 PM Alan Feuerbacher <alan...@comcast.net> wrote: > > > > Hi, > > > > I recently learned of the existence of R through a physicist friend who > > uses it in his research. I've used Octave for a decade, and C for 35 > > years, but would like to learn R. These all have advantages and > > disadvantages for certain tasks, but as I'm new to R I hardly know how > > to evaluate them. Any suggestions? > > > > Thanks! > > > > --- > > This email has been checked for viruses by Avast antivirus software. > > https://www.avast.com/antivirus > > > > ______________________________________________ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > 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. > > > > -- > Statistics & Software Consulting > GKX Group, GKX Associates Inc. > tel: 1-877-GKX-GROUP > email: ggrothendieck at gmail.com -- Statistics & Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.