R versions available on Palmetto
To identify the version of the current R software, you can run R with the –version flag. The version of the default R software on Palmetto is:
$ module list No Modulefiles Currently Loaded. $ R --version R version 2.13.0 (2011-04-13) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-unknown-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under the terms of the GNU General Public License version 2. For more information about these matters see http://www.gnu.org/licenses/.
The “default” version of R on the Palmetto cluster is 2.13.0, released in 2011. R has undergone significant updates since then, and in general, it is highly recommended that users not rely on this version of R to run their own applications:
Newer libraries will require other versions of R, especially with R’s transition to major revision 3.0 in 2013 to support 64-bit calculations.
The system version of R may change. Any applications or packages that users may build using the system R will likely not run if this happens.
R from Modules
R is also available on Palmetto under the form of software modules. These are copies of different versions of R that are installed and configured for the cluster and can be activate via Palmetto’s module capability.
$ module avail R R/3.0.2 R/3.2.2 $ module load R/3.0.2 $ R --version R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" Copyright (C) 2013 The R Foundation for Statistical Computing Platform: x86_64-unknown-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under the terms of the GNU General Public License versions 2 or 3. For more information about these matters see http://www.gnu.org/licenses/.
While it is possile to use the R modules on Palmetto, the versions of R listed here are not up to date, and the rate of new releases from R (current version 3.3.1) makes it difficult to maintain numerous versions of R in a shared computing environment like Palmetto.
Installing your own version of R
It is also possible for users to build, configure, and install customized version of R from source. To do so, the following steps must be taken:
- When building software, always ask for an interactive job first:
$ qsub -I -l select=1:ncpus=8:mem=4gb,walltime=4:00:00
- Create a temporary installation directory
$ cd $HOME $ mkdir tmp $ mkdir -p software/packages
- Dependency Installation:
$ cd $HOME/tmp $ wget http://zlib.net/zlib-1.2.11.tar.gz $ wget http://www.bzip.org/1.0.6/bzip2-1.0.6.tar.gz $ wget http://tukaani.org/xz/xz-5.2.2.tar.gz $ wget ftp://ftp.csx.cam.ac.uk/pub/software/programming/pcre/pcre-8.40.tar.gz $ wget https://www.openssl.org/source/old/1.0.0/openssl-1.0.0k.tar.gz $ wget --no-check-certificate https://curl.haxx.se/download/curl-7.47.1.tar.gz $ tar xzf zlib-1.2.11.tar.gz $ tar xzf bzip2-1.0.6.tar.gz $ tar xzf xz-5.2.2.tar.gz $ tar xzf pcre-8.40.tar.gz $ tar xzf openssl-1.0.0k.tar.gz $ tar xzf curl-7.47.1.tar.gz $ cd zlib-1.2.11 $ ./configure --prefix=$HOME/software/packages $ make $ make install $ cd ../bzip2-1.0.6 $ make -f Makefile-libbz2_so $ make clean $ make $ make -n install PREFIX=$HOME/software/packages $ make install PREFIX=$HOME/software/packages $ cd ../xz-5.2.2 $ ./configure --prefix=$HOME/software/packages $ make -j3 $ make install $ cd ../pcre-8.40 $ ./configure --enable-utf8 --prefix=$HOME/software/packages $ make -j3 $ make install $ cd ../openssl-1.0.0k $ ./config --prefix-$HOME/software/packages --openssldir=$HOME/software/openssl shared $ make $ make install $ cd ../curl-7.47.1.tar.gz $ ./configure ./configure --prefix=$HOME/software/packages --with-ssl=$HOME/software/openssl $ make $ make install $ export PATH=$HOME/software/packages/bin:$PATH $ export LD_LIBRARY_PATH=$HOME/software/packages/lib:$LD_LIBRARY_PATH $ export CFLAGS="-I$HOME/software/packages/include" $ export LDFLAGS="-L$HOME/software/packages/lib"
- Download the selected R source code into a temporary location in your home directory on Palmetto and install R into /home/yourusername/software/R/3.4.0
$ cd $HOME/tmp $ wget https://cran.r-project.org/src/base/R-3/R-3.4.0.tar.gz $ tar xzf R-3.4.0.tar.gz $ cd tmp/R-3.4.0 $ ./configure --prefix=/home/yourusername/software/R-3.4.0 $ make $ make install
- To use this location installation of R, path to its executables must be exported:
$ export R_HOME=/home/yourusername/software/R-3.4.0 $ export PATH=$R_HOME/bin:$PATH $ R R version 3.4.0 (2017-04-21) -- "You Stupid Darkness" Copyright (C) 2017 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. Natural language support but running in an English locale R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R.
R From Python Anaconda
To create a robust environment that can support multiple versions of R, the Palmetto cluster leverages Anaconda, Python’s package and environment manager, to allow users to take control of the set up process.
The only prerequisite for this approach is to load one of the Python Anaconda modules available on Palmetto:
$ module avail anaconda anaconda/1.9.1 anaconda/2.3.0 anaconda/2.4.0 anaconda/2.5.0 anaconda/4.0.0 anaconda3/2.5.0 anaconda3/4.0.0 $ module add anaconda3/2.5.0 $ python --version Python 3.5.2 :: Anaconda 2.5.0 (64-bit) $ which python /software/anaconda3/2.5.0/bin/python
Currently, a conda environment containing R 3.3.1 is already set up for Anaconda3/4.2.0, and this is also the default R kernel for Palmetto’s JupyterHub
$ module load anaconda3/4.2.0 $ source activate R (R) [lngo@node0042 ~]$ R --version R version 3.3.1 (2016-06-21) -- "Bug in Your Hair" Copyright (C) 2016 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under the terms of the GNU General Public License versions 2 or 3. For more information about these matters see http://www.gnu.org/licenses/.