On Jun 3, 2010, at 9:17 AM, vaneet wrote: > > Thanks for your replies. > > I understand you think the best solution is to find the gfortran and > possibly libgfortran packages from the version of my Linux and gcc > distribution which according to a quick check is the following (also this is > a 64 bit linux machine): > > gcc (GCC) 4.1.2 20080704 (Red Hat 4.1.2-48) > Copyright (C) 2006 Free Software Foundation, Inc. > This is free software; see the source for copying conditions. There is NO > warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. > > The question is do you know where I can find a free gfortran package from > this distribution and would I need to completely reinstall the gcc package > from that version that includes gfortran and other compilers or can I simply > add gfortran to my existing packages? > > Thanks
Sorry that I am coming to this late, but is there a reason that you did not install R using already available RPMs other than perhaps not being aware that they exist? For RHEL 4 and 5 there is the EPEL: https://fedoraproject.org/wiki/EPEL which provides pre-built binaries of many add-on packages, including R. R 2.11.0 is available there and Tom Callaway posted on the Fedora SIG list this morning that 2.11.1 is in the updates testing repo. If you do need a FORTRAN compiler, which you may yet for add-on CRAN packages, one should be available via the regular RHEL repos, for which you would have already paid for access (not to mention direct telephone support from RH). For RHEL 5 (based upon your followup), follow the instructions here: https://fedoraproject.org/wiki/EPEL/FAQ#howtouse to gain access to the EPEL. Then, as root, you can use: yum install R-core R-devel to install R. By staying with RPMs specifically built for your release, you tend to obviate version incompatibility issues, as Prof. Ripley has noted. HTH, Marc Schwartz ______________________________________________ R-help@r-project.org 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.
