We describe the Rocker project, which provides a widely-used suite of Docker images with customized R environments for particular tasks. We discuss how this suite is organized, and how these tools can increase portability, scaling, reproducibility, and convenience of R users and developers.
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For attribution, please cite this work as
Boettiger & Eddelbuettel, "An Introduction to Rocker: Docker Containers for R", The R Journal, 2017
BibTeX citation
@article{RJ-2017-065,
author = {Boettiger, Carl and Eddelbuettel, Dirk},
title = {An Introduction to Rocker: Docker Containers for R},
journal = {The R Journal},
year = {2017},
note = {https://doi.org/10.32614/RJ-2017-065},
doi = {10.32614/RJ-2017-065},
volume = {9},
issue = {2},
issn = {2073-4859},
pages = {527-536}
}