With regard to Martin's comment about the strength of (base) R:
I have R code I wrote 15+ years ago that has been used regularly ever since
with only a few minor changes needed due to changes in R. Within that code, I
find particularly impressive for its stability a simple custom GUI that uses
the tcltk package that has needed no updates whatsoever in all that time.
Such stability and reliability have been extremely valuable to me.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
On 9/26/18, 12:41 AM, "R-devel on behalf of Martin Maechler"
<r-devel-boun...@r-project.org on behalf of maech...@stat.math.ethz.ch> wrote:
[-- most of original message omitted, so as to comment on the following --]
-----
*) {Possibly such an R we would create today would be much closer to
julia, where every function is generic / a multi-dispach method
"a la S4" .... and still be blazingly fast, thanks to JIT
compilation, method caching and more smart things.}
But as you know one of the strength of (base) R is its stability
and reliability. You can only use something as a "the language
of applied statistics and data science" and rely that published
code still works 10 years later if the language is not
changed/redesigned from scratch every few years ((as some ... are)).
______________________________________________
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
______________________________________________
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
