groundhog
Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages (by CredibilityLab)
rig
The R Installation Manager (by r-lib)
| groundhog | rig | |
|---|---|---|
| 2 | 4 | |
| 76 | 527 | |
| - | 3.6% | |
| 8.4 | 8.9 | |
| about 1 month ago | 20 days ago | |
| R | Rust | |
| GNU General Public License v3.0 only | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
groundhog
Posts with mentions or reviews of groundhog.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-22.
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Best way to maintain old R script - renv? docker?
Try the groundhog package
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Groundhog: Addressing the Threat That R Poses to Reproducible Research
Is it not on GitHub at https://github.com/CredibilityLab/groundhog ?
rig
Posts with mentions or reviews of rig.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-22.
-
{macrtools} R package: Setup the R compilation toolchain for both Intel-based and Arm-based macs!
This looks like solid work but I am not sure what the use-case for this is. In particular, for end users of R on macOS, why would I use this over the official distribution bundle or rig?
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Best way to maintain old R script - renv? docker?
With rig (https://github.com/r-lib/rig) and renv you will be able to have a reproducible environment with any version of R.
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Installing R 4.2 on MBP M1 Pro
I recommend using rig to install R, my experience with it is very positive and it makes it easy to manage side-by-side installations of multiple versions of R.
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RStudio not using the most up to date R
I’ve never tried using ‘installr’ but I recommend you give ‘rig’ a try instead. It’s working incredibly well in my experience, and I trust the expertise of its maintainer.
What are some alternatives?
When comparing groundhog and rig you can also consider the following projects:
renv - renv: Project environments for R.
devcontainers-rstudio - Zero-setup R workshops with GitHub Codespaces
rmarkdown - Dynamic Documents for R
huxtable - An R package to create styled tables in multiple output formats, with a friendly, modern interface.
targets-tutorial - Short course on the targets R package
bruceR - 📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.