In the (approximate) words of Ross Ihaka: R could have been made commercial and then it might have had like 500 users instead of millions.
Programming language aside, there isn't really much of a market for new, closed source, statistical programs, at least not unless you get to a level of sophistication which is way beyond the capacity of any single person (e.g. in the field of maths software, Mathematica is not likely to be replaceable by a free alternative anytime soon, but that is huge!). More likely, there is a market in consulting and in-house application development, both of which can quite conveniently be done with R. If you are good at it, that is. -pd > On 12 Jan 2018, at 06:17 , muhammad ramzi <mramz...@gmail.com> wrote: > > Oh I see thank you very much now I understand. So for me as I am considered > an intermediate in R and also C++ what kind of programming language I could > take up and learn to make a commercial statistical software ? Any advices as > well ? -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd....@cbs.dk Priv: pda...@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.
