Hi Murray, at first I thought you meant compiling existing Fortran or C++ for use in R with .Fortran() and so on, but do you mean literal conversion from Fortran to just pure R code? I'm assuming pure R code for the rest of this:
I've tried with some fairly simple C++ and C code, and that's been fairly easy - there are a lot of details you can ignore and just try to figure out the algorithm. It's nice if you have running software so you can compare outputs, but I did once eventually figure out some Pascal code from an old text book - it had enough actual example data printed in the book that allowed me eventually to figure it out. There were people around me who had once compiled Pascal, but it didn't sound like it was going to be much fun. Sometimes C and C++ chunks can be copied over directly and used with very few changes, but it will just depend. Good luck, and I would just jump in the deep end and send in questions if you get stuck. Cheers, Mike. On Wed, Jan 5, 2011 at 11:02 AM, Murray Jorgensen <[email protected]> wrote: > I'm going to try my hand at converting some Fortran programs to R. Does > anyone know of any good articles giving hints at such tasks? I will post a > selective summary of my gleanings. > > Cheers, Murray > -- > Dr Murray Jorgensen http://www.stats.waikato.ac.nz/Staff/maj.html > Department of Statistics, University of Waikato, Hamilton, New Zealand > Email: [email protected] Fax 7 838 4155 > Phone +64 7 838 4773 wk Home +64 7 825 0441 Mobile 021 0200 8350 > -- > [email protected] > http://www.stat.auckland.ac.nz/r-downunder > > To unsubscribe send an email to [email protected] > -- Michael Sumner Institute for Marine and Antarctic Studies, University of Tasmania Hobart, Australia e-mail: [email protected] ______________________________________________ [email protected] mailing list 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.
