Package: rix 0.13.4
rix: Reproducible Data Science Environments with 'Nix'
Simplifies the creation of reproducible data science environments using the 'Nix' package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included `rix()` function generates a complete description of the environment as a `default.nix` file, which can then be built using 'Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools. Additional helpers make it easy to run R code in 'Nix' software environments for testing and production.
Authors:
rix_0.13.4.tar.gz
rix_0.13.4.zip(r-4.5)rix_0.13.4.zip(r-4.4)rix_0.13.4.zip(r-4.3)
rix_0.13.4.tgz(r-4.4-any)rix_0.13.4.tgz(r-4.3-any)
rix_0.13.4.tar.gz(r-4.5-noble)rix_0.13.4.tar.gz(r-4.4-noble)
rix_0.13.4.tgz(r-4.4-emscripten)rix_0.13.4.tgz(r-4.3-emscripten)
rix.pdf |rix.html✨
rix/json (API)
NEWS
# Install 'rix' in R: |
install.packages('rix', repos = c('https://b-rodrigues.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ropensci/rix/issues
Last updated 1 days agofrom:9f8474f18e. Checks:OK: 7. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:available_rga_cachixnix_buildrenv2nixrixrix_inittar_nix_gawith_nix
a - Getting started
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b1 - Setting up and using rix on Linux and Windows
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b2 - Setting up and using rix on macOS
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c - Using rix to build project specific environments
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d1 - Installing R packages in a Nix environment
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d2 - Installing system tools and TexLive packages in a Nix environment
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e - Interactive use
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z - Advanced topic: Building an environment for literate programming
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z - Advanced topic: Contributing to nixpkgs
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z - Advanced topic: Handling packages with remote dependencies
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z - Advanced topic: Reproducible Analytical Pipelines with Nix
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z - Advanced topic: Rolling out your own binary cache
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z - Advanced topic: Running R or Shell Code in Nix from R
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z - Advanced topic: Understanding the rPackages set release cycle and using bleeding edge packages
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z - Advanced topic: Using Nix inside Docker
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