Don't know this piece well but I am guessing that you haven't found an
example because the iterator is going up to the length of a vector
anymore but only to the number of batches, which is unlikely to be
more than 2^31.
On Tue, Dec 22, 2020 at 12:30 PM Suharto Anggono Suharto Anggono via
R-devel
In summary.c, in function 'isum', the loop is 'ITERATE_BY_REGION' that contains
'for' loop
for (int k = 0; k < nbatch; k++)
It is since SVN revision 73445, in released R since version 3.5.0.
Previously, the loop is
for (R_xlen_t i = 0; i < n; i++)
Inside 'ITERATE_BY_REGION', the type of the ind
As the proverbial naive R (ab)user I’m left wondering:
o if I updated my quantreg_init.c file in accordance with Bill’s
suggestion could I
then simply change my .Fortran calls to .Call?
No. .Call(C_func, arg1, arg2) expects C_func's arguments to all be SEXP*
(pointers to
As for speed, I suspect much of the speedup when converting from .Fortran
to .Call will be due to checking the validity of the arguments (lengths,
types, ranges, etc.) in C code instead of in R code. There can also be
less copying of the arguments and the returned objects will tend to be
smaller.
Will there be any interest in using Coarrays Fortran, please?
Thanks,
Erin
Erin Hodgess, PhD
mailto: erinm.hodg...@gmail.com
On Wed, Dec 23, 2020 at 10:29 AM Martin Maechler
wrote:
> > Balasubramanian Narasimhan
> > on Wed, 23 Dec 2020 08:34:40 -0800 writes:
>
> > I think it s
Is .Fortran going to be deprecated, please? I have gotten amazing speed up
with geostatistics processes using HPC type tools.
Thanks
On Sat, Dec 26, 2020 at 9:48 AM Koenker, Roger W
wrote:
> I’ve recoded a version of one of my quantile regression fitting functions
> to use .C64 from dotCall64
I’ve tried recoding some of Delaporte to use the .Fortran interface and I
don’t know what I’m doing wrong but it either doesn’t work or crashes my R
instance completely.
Avi
On Sat, Dec 26, 2020 at 11:48 AM Koenker, Roger W
wrote:
> I’ve recoded a version of one of my quantile regression fittin
Erin, I think rumors of the deprecation of .Fortran are greatly exaggerated,
but I’d welcome some confirmation of this from
someone in R core. There is quite a lot of .Fortran usage in packages, and
perhaps even in base R...
> On Dec 26, 2020, at 7:57 PM, Erin Hodgess wrote:
>
> Is .Fortran
