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New package: RDataGet v0.1.0 #67666
New package: RDataGet v0.1.0 #67666
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JuliaRegistrator
commented
Sep 4, 2022
- Registering package: RDataGet
- Repository: https://github.com/frankier/RDataGet.jl
- Created by: @frankier
- Version: v0.1.0
- Commit: 127f38f87b3efba0e599eeff08dd29639a44442d
- Reviewed by: @frankier
- Reference: JuliaPsychometricsBazaar/RDataGet.jl@127f38f#commitcomment-83018784
- Description: Simple Julia library to fetch R dataset from CRAN
UUID: a115732e-4334-4ecb-8ea3-f683e7f66d4d Repo: https://github.com/frankier/RDataGet.jl.git Tree: 7f5ec40b2319f3790918744507025e13cbc31ce9 Registrator tree SHA: 8e1a5ac2695627143951512d700c7e3c445102ec
Your
Note that the guidelines are only required for the pull request to be merged automatically. However, it is strongly recommended to follow them, since otherwise the pull request needs to be manually reviewed and merged by a human. After you have fixed the AutoMerge issues, simple retrigger Registrator, which will automatically update this pull request. You do not need to change the version number in your If you do not want to fix the AutoMerge issues, please post a comment explaining why you would like this pull request to be manually merged. Since you are registering a new package, please make sure that you have also read the package naming guidelines: https://julialang.github.io/Pkg.jl/dev/creating-packages/#Package-naming-guidelines-1 If you want to prevent this pull request from being auto-merged, simply leave a comment. If you want to post a comment without blocking auto-merging, you must include the text |
[noblock] The package name is deliberately a play on RDatasets. Although it has low Damerau-Levenshtein distance, the difference in capitalisation makes clear that this is a different approach that fetches datasets rather than vendoring them. I certainly don't want to step on any toes regarding RDatasets, and this package is supposed to be complimentary. It seems within JuliaStats it is considered low-priority/feature-complete. See JuliaStats/RDatasets.jl#141 as well a quite a few issues from people who are wanting something else from the package. On the other hand this RDataGet.jl approach could be added to RDatasets, but that would require need RDatasets to have (possibly new) maintainers who want to evolve it. |
[noblock] I would like to go ahead with publishing this package. Perhaps eventually it can make its way into |