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" <[email protected] on behalf of [email protected]> 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)). ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-devel ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
