https://github.com/nanxstats/liftr
🐳 Containerize R Markdown documents for continuous reproducibility
https://github.com/nanxstats/liftr
containerization docker dynamic-documents knitr liftr reproducible-research reproducible-science rmarkdown statistical-computing
Last synced: 7 months ago
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🐳 Containerize R Markdown documents for continuous reproducibility
- Host: GitHub
- URL: https://github.com/nanxstats/liftr
- Owner: nanxstats
- License: gpl-3.0
- Created: 2015-07-11T22:42:09.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2024-03-11T22:23:06.000Z (over 1 year ago)
- Last Synced: 2025-03-29T00:08:15.011Z (7 months ago)
- Topics: containerization, docker, dynamic-documents, knitr, liftr, reproducible-research, reproducible-science, rmarkdown, statistical-computing
- Language: R
- Homepage: https://nanx.me/liftr/
- Size: 4.96 MB
- Stars: 171
- Watchers: 13
- Forks: 20
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- jimsghstars - nanxstats/liftr - 🐳 Containerize R Markdown documents for continuous reproducibility (R)
README
# liftr 
[](https://github.com/nanxstats/liftr/actions/workflows/R-CMD-check.yaml)
[](https://cran.r-project.org/package=liftr)
[](https://cran.r-project.org/package=liftr)
liftr aims to solve the problem of _persistent reproducible reporting_.
To achieve this goal, it extends the [R Markdown](https://rmarkdown.rstudio.com)
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](https://doi.org/10.32614/RJ-2020-007). _The R Journal_ 12 (1), 437-461.
## Installation
Install liftr from CRAN:
```r
install.packages("liftr")
```
Or try the development version on GitHub:
```r
remotes::install_github("nanxstats/liftr")
```
[Browse the vignettes](https://nanx.me/liftr/articles/) or the [demo video](https://vimeo.com/212815497) for a quick-start.
## Workflow
## Events
| Time | Event | Location |
|:----------------|:------------------------|:---------------------------------|
| July 30, 2018 | [JSM 2018](https://ww2.amstat.org/meetings/JSM/2018/onlineprogram/AbstractDetails.cfm?abstractid=329348) ([talk](https://nanx.me/talks/jsm2018-liftr-nanxiao.pdf)) | Vancouver, Canada |
| July 27, 2017 | [BioC 2017](https://bioconductor.org/help/course-materials/2017/BioC2017/) ([poster](https://nanx.me/posters/dockflow-poster-bioc2017.pdf) for [dockflow.org](https://dockflow.org/)) | Dana-Farber Cancer Institute, Boston, MA |
| May 20, 2017 | [The 10th China-R Conference](https://china-r.org) ([talk](https://nanx.me/talks/chinar2017-liftr-nanxiao.pdf)) | Tsinghua University, Beijng, China |
| April 18, 2017 | DockerCon 2017 ([talk](https://nanx.me/talks/dockercon2017-liftr-nanxiao.pdf)) | Austin Convention Center, Austin, TX |
| December 3, 2015 | [CRI Bioinformatics Workshop](https://learn.cri.uchicago.edu/2015-cri-bioinformatics-workshop/) ([talk](https://nanx.me/talks/cri2015-reproducible-research-nanxiao.pdf)) | The University of Chicago, Chicago, IL |
| July 21, 2015 | [BioC 2015](https://bioconductor.org/help/course-materials/2015/BioC2015/) ([workshop](https://www.bioconductor.org/help/course-materials/2015/BioC2015/bioc2015-workshop-nanxiao.pdf)) | Fred Hutchinson Cancer Research Center, Seattle, WA |
## Contribute
To contribute to this project, please take a look at the
[Contributing Guidelines](https://liftr.me/CONTRIBUTING.html) first.
Please note that the liftr project is released with a
[Contributor Code of Conduct](https://liftr.me/CODE_OF_CONDUCT.html).
By contributing to this project, you agree to abide by its terms.
## License
liftr is free and open source software, licensed under GPL-3.