- #Macports update r how to
- #Macports update r install
- #Macports update r code
- #Macports update r download
Not an expert in OSX, but doing this so others can figure out how to use my R package. (replace with /users/YOURUSERNAME/downloads/)
#Macports update r download
You can use curl, or just download it and point tar in the command line to it.
#Macports update r install
We could go and fix paths, or simply also install gfortran under /opt. The mac-R team likes to separate arm64 and intel related files. For some reason it appears to install in /usr/local/gfortran, but R expects it in /opt.Use the installer to install gfortran.Hit Control+O, Control+X to save and close In nano, paste these additional compiler flags into the Makevars file: CPPFLAGS += -Xclang -fopenmp Now we need to add compiler flags so that clan uses openMP.Download openmp-11.0. and install it (see Terminal commands below). Alternatively, run sudo xcode-select -install in Terminal. Install RStudio, start it, and let it install the developer tools.The CRAN version might also work, but I used the installer from, which required opening the osx security settings to allow the installation. Head over to, it contains most things you will need.
Unfortunately, I do not believe a more "simple" setup exists.Įventually, I found a process that works on a M1 mac with Big Sur.
Install.packages("data.table", type = "source") Open R and install a package to test that it compiles with openMP enabled (when asked, compile from source = "Yes"):.# (check that the version of gfortran - in this case 10.2.0 - matches the version specified in FLIBS)įLIBS=-L/usr/local/gfortran/lib/gcc/x86_64-apple-darwin19/10.2.0 -L/usr/local/gfortran/lib -lgfortran -lquadmath -lm LDFLAGS=-L$(LOC)/lib -Wl,-rpath,$(LOC)/libĬPPFLAGS=-I$(LOC)/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include Check your version of gfortran ( cd /usr/local/gfortran/lib/gcc/x86_64-apple-darwin19/ ls) then edit your ~/.R/Makevars file (if you don't have a file called Makevars in your ~/.R/ directory) and include only these lines:ĬFLAGS=-g -O3 -Wall -pedantic -std=gnu99 -mtune=native -pipeĬXXFLAGS=-g -O3 -Wall -pedantic -std=c++11 -mtune=native -pipe.#ln: /usr/local/include//tkPlatDecls.h: File exists #ln: /usr/local/include//tkDecls.h: File exists #ln: /usr/local/include//tk.h: File exists #ln: /usr/local/include//tclTomMathDecls.h: File exists #ln: /usr/local/include//tclTomMath.h: File exists #ln: /usr/local/include//tclPlatDecls.h: File exists #ln: /usr/local/include//tclDecls.h: File exists #ln: /usr/local/include//tcl.h: File exists Sudo ln -s /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include/* /usr/local/include/ Link some headers into /usr/local/include.Install gcc via Homebrew ( instructions for installing Homebrew) or, if you already have gcc installed, skip to step 3.Sudo rm -rf /Library/Developer/CommandLineTools # To delete an existing command line tools installation: Install xcode from the app store ( instructions for installing xcode) then install/reinstall the xcode command line tools from the terminal:.I spent a day figuring this out (original post here) here are the steps I used to compile R packages from source with openMP:
#Macports update r code
However, I would like my R package on github to be used by more users, and since it relies on openMP, I am losing that audience.Ĭan someone provide the necessary steps to set up R on mac in a way that it can compile Rcpp code with openMP? I'd like to turn that into a quick tutorial.ĮDIT: I should have added - on Apple Silicon, because there are some extra confusions where things go - /usr/local vs /opt I am not a mac user, but it seems to me that setting up a mac to compile Rcpp packages or code snippets with openMP seems to be too difficult for most mac users. I came across other ideas, including compiling llvm yourself, using homebrew or macports to install R and/or llvm and/or gcc, and then figuring out how to use the right compiler and/or flags with (R)cpp. The ability to use OpenMP without a custom setup. Unfortunately, with R 4.0.0 the CRAN distributed version of R loses There's probably a gazillion threads on OSX+Rcpp+openMP, but the bottom line right now appears to be this (per coatless):
0 kommentar(er)
