>>>>> Dirk Eddelbuettel
>>>>> on Tue, 1 Sep 2020 07:56:53 -0500 writes:
> On 1 September 2020 at 13:01, Richard Dodd wrote:
> | I needed some statistical functions for a project I was working on in
> | Rust, and I've used the R math library as a standalone solution. I
> That's its purpose as far as I can tell. We have provided it as a Debian
> package alongside the "normal" R interpreter (and everything else) "for
> decades" too.
> | thought the R developers would be interested in the fact that their work
> | is being used elsewhere, and I also wanted to say thanks for some code I
> | do NOT want to have to write myself!
> |
> | The "crate" (Rust's name for a package) is at
> | https://lib.rs/crates/r_stats.
> Nice.
Indeed. Thank you for letting us know!
{BTW: There's been an ambitious project of binding all of
mathlib *and more out of R* to a java script library;
But I think that project has taken the typical course of
the majority of github projects: "code rut"}
> Any chance you could rename it to a more neutral r_mathlib or something?
> As a free-standing C library it has long been wrapped by other languages,
but
> if it were my project I'd be more careful to not imply "all of stats"
here.
> FWIW in Debian we call it `r-mathlib`.
> Dirk
> --
> https://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org
As one of the main coders or rather tweakers of its source code,
I strongly agree with Dirk that 'r_stats' is really misleading here.
>From an R point of view, 'math library' has been a good name,
notably because there's a lot of applied math routines in there,
99% related to (applied) probability which is part of math.
If 'Rust' and other re-implementors think they must add
"stat(s)" somewhere --- which is understandable, since the
"applied math" mentioned above is almost exclusively applied to
functions important in probability and statistics ---
I'd propose something like
" r_stats_math "
Martin Mächler
ETH Zurich and R Core team
--
Martin <maech...@stat.math.ethz.ch> http://stat.ethz.ch/~maechler
Seminar für Statistik, ETH Zürich HG G 16 Rämistrasse 101
CH-8092 Zurich, SWITZERLAND ☎ +41 44 632 3408 <><
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