Microsoft R Open, formerly known as Revolution R Open, is an "enhanced R distribution". You can use this Docker container to give it a quick try.
Homepage: https://mran.revolutionanalytics.com/open/
For plain R Docker images see Rocker, which were a great help in creating these images.
MRO focusses on speed and reproducibility. By default, packages are not installed from main CRAN, but from a CRAN repository snapshot. For more information see https://mran.revolutionanalytics.com/documents/rro/reproducibility/. MRO promises better speed by using special multitreaded math libraries, replacing default R's BLAS/LAPACK libraries.
Important: By running this container you accept the MKL license, see file mklLicense.txt. The interactive installation script of the MKL download package was adapted in RevoMath_noninteractive-install.sh to not require any user input.
docker run --user docker nuest/mro
This downloads the latest build of the image from Docker Hub.
Build the image:
docker build -t mro .
Optionally you can create local tags (the image on Docker Hub does not have tags!) with
docker build -t mro:v3.2.5 -t mro:latest .
Run the image:
docker run -it --user docker mro
In the container, R is automatically started. You can execute a demo script:
source("demo.R")
Alternatively, you can start regular bash (you can skip the --user docker if root rights are needed in the container):
docker run -it --user docker mro /bin/bash
When you exit R, the container is automatically stopped.
To work with your own data, simply mount a directory on the host computer to the container, see the Docker documentation on volumes.
You can install packages etc. in the R session as usual, though for reproducibility it is strongly recommended to do this only in the Dockerfile.
- include something similar than the
install2.Rscript so that packages can properly be installed - Try out the benchmarks: https://mran.revolutionanalytics.com/documents/rro/multithread/
- Create an image extending rocker/base-r for direct comparison
- Pre-configure as recommended here: https://mran.revolutionanalytics.com/documents/rro/reproducibility/doc-research/
Copyright (C) 2016 Daniel Nüst for mro-docker
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.