https://github.com/the-y-company/many

Create R packages from many directories
https://github.com/the-y-company/many

Last synced: 3 months ago
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Create R packages from many directories

• Host: GitHub
• URL: https://github.com/the-y-company/many
• Owner: the-y-company
• License: gpl-3.0
• Created: 2023-11-05T16:25:31.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2024-03-30T18:14:34.000Z (7 months ago)
• Last Synced: 2024-03-30T19:26:40.342Z (7 months ago)
• Language: R
• Homepage: https://many.the-y-company.com
• Size: 4.05 MB
• Stars: 13
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-shiny-extensions - many - Use multiple directories to build R packages. (Developer Tools / Modularization)
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README

        




Use _many_ directories to build R packages.

This allows using many folders to write R packages,

letting you structure the project more or less how you

but benefiting from the R toolchain around R packages

(testing, documentation, etc.).



## How it works

The function `bundle` looks for

`.R` files in the `srcpkg` and simply copies

them to the `/R` directory whilst tracking

changes in the `.many` file.

If that process fails you can run `reset` to clear

that file the subsequent `bundle` run will force copy all files.

- The `srcpkg` can contain multiple nested directories,

for an example look at the source code of this package.

Everything else remains the same, e.g.: use of `inst`, etc.

- Set the `MANY_VERBOSE` environment variable to `FALSE` if

you want to switch off all messages.

- Run `tidy()` to clean up old files but you should not have

to do this, it's handled in `bundle()`.

- If you run into any issue you can always reset the tracking by

running `many::reset()` (you will NOT lose any progress).

## Previous work

To our knowledghe, [rfold](https://CRAN.R-project.org/package=rfold) is the only other package, hosted on CRAN, 

that proposed the idea of using multiple directories to build R packages, but with a different code implementation.