Rsymphony is one of the solver packages supported by TestDesign. As of Rsymphony version 0.1.28, Mac users are likely to encounter error messages like below when the user tries to install the solver package from R. Alternatively, ‘lpsymphony’ from Bioconductor repository is supported from TestDesign 1.0.0.
* installing *source* package ‘Rsymphony’ ...
** package ‘Rsymphony’ successfully unpacked and MD5 sums checked
** using staged installation
Cannot find SYMPHONY libraries and headers.
See <https://projects.coin-or.org/SYMPHONY>.
ERROR: configuration failed for package ‘Rsymphony’
This document describes a potential fix to this problem. An admin account is required.
The cause of the error is that Rsymphony requires SYMPHONY libraries, but the libraries are not installed. The goal of this section is to install the libraries.
Step 1. Open the terminal from Launchpad. Switch to the admin account on your system by running the following line in terminal prompt. Make sure to replace username
with the actual username of the admin account. Type in the account password once prompted.
su username
Step 2. Install the homebrew
package manager by following the instructions on http://brew.sh/. The purpose of this step is to allow installing SYMPHONY with it.
Step 3. Install SYMPHONY by running the following in terminal. Each line must be run separately.
brew tap coin-or-tools/coinor
brew install symphony
brew install pkg-config
brew cask install gfortran
Rsymphony solver package should now be able to locate the SYMPHONY libraries. Retry installing the Rsymphony solver package in R.
If the install fails, proceed to the next step.
Step 1. Install wget
by running the following line in terminal. The purpose of this step is to allow downloading the package file directly from CRAN servers.
brew install wget
Step 2. Run the following line in terminal to download the Rsymphony solver package.
sudo wget https://cran.revolutionanalytics.com/src/contrib/Rsymphony_0.1-28.tar.gz
Step 3. Unpack the downloaded file with running the following line.
sudo tar -xzvf Rsymphony_0.1-28.tar.gz
Step 4. Open the file Rsymphony/configure
with running the following line. This opens nano
text editor, with -c
option to make it display the line numbers.
sudo nano -c ./Rsymphony/configure
Comment out the lines 51-55 by inserting #
s at the beginning of each line as below. Save it as the same file with Control + O, and when prompted for file name to write press Enter. Exit with Control + X.
#if test ${status} -ne 0; then
# echo "Cannot find SYMPHONY libraries and headers."
# echo "See https://projects.coin-or.org/SYMPHONY."
# exit 1
#fi
Step 5. Open the file Rsymphony/src/R_symphony.cc
by running the following line.
sudo nano -c ./Rsymphony/src/R_symphony.cc
Change line 12 #include <coin/symphony.h>
as below. Save it as the same file with Control + O, and when prompted for file name to write press Enter. Exit with Control + X.
#include <symphony.h>
Step 6. Run the following line in terminal to install the modified Rsymphony package.
sudo R CMD install Rsymphony
This will make the Rsymphony solver package available in R.
Do NOT run install.packages('Rsymphony')
within R after Step 6.
If Step 6 fails with --lgfortran
error, proceed to the next step.
The cause of the error is that R needs Fortran libraries to build the package, but it does not know where they are. They are already available on your system: when you installed the SYMPHONY libraries from the previous steps, it installed gcc library as a requirement, which contains Fortran libraries as well.
Step 1. Open the file ~/.R/Makevars
by running the following line.
sudo nano -c ~/.R/Makevars
The file will be empty on most cases. Add the following line to point R to the Fortran libraries. Save it as the same file with Control + O, and when prompted for file name to write press Enter. Exit with Control + X.
FLIBS = -L/usr/local/gfortran/lib -lgfortran -lquadmath -lm
Step 2. Run the following line in terminal to install the modified Rsymphony package.
sudo R CMD install Rsymphony
This will make the Rsymphony solver package available in R.
Do NOT run install.packages('Rsymphony')
within R after Step 2.
For further reference, please refer to these following external links.