[R] using Fortran with R

[Erin Hodgess]

This is great....I have wonderful ideas/examples to work with.

Thanks to all!


On Fri, Nov 6, 2015 at 2:13 PM, ProfJCNash <profjcnash at gmail.com> wrote:

> It's not a full book on the issue, but I have some material in "speeding
> things up" in my book on Nonlinear parameter estimation tools in R. I
> suspect the examples are the useful bit.
>
> JN
>
> On 15-11-06 12:17 PM, Erin Hodgess wrote:
> > Great..thanks for the package names.  I was going to use the "Writing R
> > Extensions" but wanted some more material as well.  Looking at the other
> > packages might just do the trick.
> >
> > Thanks,
> > Erin
> >
> >
> > On Fri, Nov 6, 2015 at 10:59 AM, Berend Hasselman <bhh at xs4all.nl> wrote:
> >
> >>
> >>> On 6 Nov 2015, at 17:23, Erin Hodgess <erinm.hodgess at gmail.com> wrote:
> >>>
> >>> Hello everyone!
> >>>
> >>> Could someone recommend a good reference for Fortran with R, please?  I
> >>> know that Dirk has an excellent book for C/C++, but I feel more
> >> comfortable
> >>> with Fortran (I'm old school, maybe just old!)
> >>>
> >>
> >> I don't know about a book.
> >> The best you can do is read Writing R Extensions.
> >> And have a look at packages using Fortran:  nleqslv, geigen, QZ,
> deSolve,
> >> minpack.lm, PEIP
> >> That should give you a good idea how to use Fortran.
> >> There are surely more but these are the ones I know about.
> >>
> >> Berend
> >>
> >>> Thank you very much in advance,
> >>> Sincerely,
> >>> Erin
> >>>
> >>>
> >>> --
> >>> Erin Hodgess
> >>> Associate Professor
> >>> Department of Mathematical and Statistics
> >>> University of Houston - Downtown
> >>> mailto: erinm.hodgess at gmail.com
> >>>
> >>>       [[alternative HTML version deleted]]
> >>>
> >>> ______________________________________________
> >>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >>> https://stat.ethz.ch/mailman/listinfo/r-help
> >>> PLEASE do read the posting guide
> >> http://www.R-project.org/posting-guide.html
> >>> and provide commented, minimal, self-contained, reproducible code.
> >>
> >>
> >
> >
>



-- 
Erin Hodgess
Associate Professor
Department of Mathematical and Statistics
University of Houston - Downtown
mailto: erinm.hodgess at gmail.com

	[[alternative HTML version deleted]]