My latest project in R + Rcpp + RcppParallel + RcppEigen ran so fast when I tested it, I thought it was a short-circuit. Not as clean as pure Julia but if you like C++ its a pretty sweet environment.
(Incidentally, several of the ideas in Julia came from a discussion about rewriting R I had with Viral many years ago. Its nice to see them come to life.) THK On Fri, Aug 5, 2016 at 12:41 PM Ista Zahn <istaz...@gmail.com> wrote: > But you can easily fall back to R from within Julia; see > http://juliastats.github.io/RCall.jl/latest/ > > On Aug 5, 2016 1:27 PM, "Hadley Wickham" <h.wick...@gmail.com> wrote: > > > No. > > > > Hadley > > > > On Fri, Aug 5, 2016 at 11:12 AM, Kenny Bell <kmbel...@gmail.com> wrote: > > > Is it conceivable that Julia could be ported to use R syntax in a way > > that > > > would allow the vastly larger numbers of R programmers to seamlessly > > switch? > > > Or equivalently, could an iteration of R itself do this? > > > > > > > > > On Fri, Aug 5, 2016, 9:00 AM Hadley Wickham <h.wick...@gmail.com> > wrote: > > >> > > >> When it was being actively worked on, it had the advantage of > existing. > > >> > > >> Hadley > > >> > > >> On Fri, Aug 5, 2016 at 10:48 AM, Kenny Bell <kmbel...@gmail.com> > wrote: > > >> > Why is the described system preferable to Julia? > > >> > > > >> > On Fri, Aug 5, 2016, 4:50 AM peter dalgaard <pda...@gmail.com> > wrote: > > >> > > > >> >> > > >> >> On 05 Aug 2016, at 06:41 , Andrew Judson <ajs...@gmail.com> wrote: > > >> >> > > >> >> > I read this paper > > >> >> > <https://www.stat.auckland.ac.nz/~ihaka/downloads/Compstat- > > 2008.pdf> > > >> >> > and > > >> >> > haven't been able to find out what happened - I have seen some > > >> >> > sporadic > > >> >> > mention in message groups but nothing definitive. Does anyone > know? > > >> >> > > >> >> Presumably Ross does... > > >> >> > > >> >> You get a hint if you go one level up and look for the newest file: > > >> >> > > >> >> https://www.stat.auckland.ac.nz/~ihaka/downloads/New-System.pdf > > >> >> > > >> >> > > >> >> -- > > >> >> 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-devel@r-project.org mailing list > > >> >> https://stat.ethz.ch/mailman/listinfo/r-devel > > >> >> > > >> > > > >> > [[alternative HTML version deleted]] > > >> > > > >> > ______________________________________________ > > >> > R-devel@r-project.org mailing list > > >> > https://stat.ethz.ch/mailman/listinfo/r-devel > > >> > > >> > > >> > > >> -- > > >> http://hadley.nz > > > > > > > > -- > > http://hadley.nz > > > > ______________________________________________ > > R-devel@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-devel > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel