![]() ![]() However, in my view, you are better off upgrading OS X to macOS than trying to meet the requirements to build R from source: I spent a bit of time researching the topic, for the same reason: I am currently running OS X 10.9.5, and wanted to upgrade from R 3.3.3 to R 3.4.0. R for macOS This directory contains binaries for a base distribution and packages to run on macOS. Important note: R 3.4.0 El Capitan binaries are using Clang 4.0.0 and GNU Fortran 6.1 to provide OpenMP parallelization support and C++17 standard features. Releases for old Mac OS X systems (through Mac OS X 10.5) and PowerPC Macs can be found in the old directory. Note: Although we take precautions when assembling binaries, please use the normal precautions with downloaded executables. If you want to compile R packages from sources, please download GNU Fortran binary from the official GNU Fortran Binaries page - in particular OS X 10.11 gfortran 6.1. We are also providing Clang 4.0.0 binaries for OS X 10.11 and higher in our libs directory (note that the offical Clang 4.0.0 binaries only support macOS 10.12) and will provide an Apple Installer package here soon. FCCERS-R: Furniture for routine care, play, and learning 3.2 - Enough furniture for play and learning for all ages/abilities of children enrolled. My understanding of the above is that building recent R releases on macOS 10.11 or 10.12 is fine because that's what the core developers do on their end, whereas building on older versions of OS X is now unsupported and untested. canescens (Phlox Pink), Florence (orange), Millie Mac (yellowish orange) & R. ![]() If I were you, I would stick to R 3.3.3 (my short-term choice), or upgrade OS X to macOS (my long-term choice). R version 3.6.3 macOS X 10.11 (El Capitan) and higher R Studio Desktop (Orange Blossom 330255dd) R version 3.0.1+ Once you have installed R. Building R on old Mac OS X versions will throw you in dependency hell, for very little (and only partial re: new features) benefit.
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