[Rd] What happened to Ross Ihaka's proposal for a Common Lisp based R successor?

[Tim Keitt]

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 <istazahn at 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.wickham at gmail.com> wrote:
>
> > No.
> >
> > Hadley
> >
> > On Fri, Aug 5, 2016 at 11:12 AM, Kenny Bell <kmbell56 at 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.wickham at 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 <kmbell56 at gmail.com>
> wrote:
> > >> > Why is the described system preferable to Julia?
> > >> >
> > >> > On Fri, Aug 5, 2016, 4:50 AM peter dalgaard <pdalgd at gmail.com>
> wrote:
> > >> >
> > >> >>
> > >> >> On 05 Aug 2016, at 06:41 , Andrew Judson <ajskim at 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.mes at cbs.dk  Priv: PDalgd at gmail.com
> > >> >>
> > >> >> ______________________________________________
> > >> >> R-devel at r-project.org mailing list
> > >> >> https://stat.ethz.ch/mailman/listinfo/r-devel
> > >> >>
> > >> >
> > >> >         [[alternative HTML version deleted]]
> > >> >
> > >> > ______________________________________________
> > >> > R-devel at r-project.org mailing list
> > >> > https://stat.ethz.ch/mailman/listinfo/r-devel
> > >>
> > >>
> > >>
> > >> --
> > >> http://hadley.nz
> >
> >
> >
> > --
> > http://hadley.nz
> >
> > ______________________________________________
> > R-devel at r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-devel
> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-devel at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>

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