README.md

In road2stat/liftr: Containerize R Markdown Documents for Continuous Reproducibility

liftr

liftr aims to solve the problem of persistent reproducible reporting. To achieve this goal, it extends the R Markdown metadata format, and uses Docker to containerize and render R Markdown documents.

Paper

To cite this work and the related software, please use

Nüst D, Eddelbuettel D, Bennett D et al. (2020). The Rockerverse: Packages and Applications for Containerisation with R. The R Journal 12 (1), 437-461.

Installation

Install liftr from CRAN:

install.packages("liftr")

Or try the development version on GitHub:

remotes::install_github("nanxstats/liftr")

Browse the vignettes or the demo video for a quick-start.

Workflow

Events

| Time | Event | Location | |:----------------|:------------------------|:---------------------------------| | July 30, 2018 | JSM 2018 (talk) | Vancouver, Canada | | July 27, 2017 | BioC 2017 (poster for dockflow.org) | Dana-Farber Cancer Institute, Boston, MA | | May 20, 2017 | The 10th China-R Conference (talk) | Tsinghua University, Beijng, China | | April 18, 2017 | DockerCon 2017 (talk) | Austin Convention Center, Austin, TX | | December 3, 2015 | CRI Bioinformatics Workshop (talk) | The University of Chicago, Chicago, IL | | July 21, 2015 | BioC 2015 (workshop) | Fred Hutchinson Cancer Research Center, Seattle, WA |

Contribute

To contribute to this project, please take a look at the Contributing Guidelines first. Please note that the liftr project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

liftr is free and open source software, licensed under GPL-3.

road2stat/liftr documentation built on March 14, 2024, 11:12 p.m.