[R-pkg-devel] Large data package

[Bryan Hanson]

Here’s a blog post on using drat with github actions to make data deployment to drat automatic.  Maybe more than you need.

Disclaimer, I’m the post author.  Bryan

https://chemospec.org/2021/04/11/p19/ <https://chemospec.org/2021/04/11/p19/>


> On Apr 27, 2021, at 3:09 PM, Ayala Hernandez, Rafael <r.ayala14 using imperial.ac.uk> wrote:
> 
> Dear Dirk and Berry,
> 
> Thanks a lot for your input and for pointing me to the very nice article on the R Journal. It seems to me that hosting the data via GitHub and 
> 
>> El 28 abr 2021, a las 0:04, Dirk Eddelbuettel <edd using debian.org> escribió:
>> 
>> 
>> *******************
>> This email originates from outside Imperial. Do not click on links and attachments unless you recognise the sender. 
>> If you trust the sender, add them to your safe senders list https://spam.ic.ac.uk/SpamConsole/Senders.aspx to disable email stamping for this address.
>> *******************
>> 
>> On 27 April 2021 at 10:26, Ayala Hernandez, Rafael wrote:
>> | I am in the process of including a large update for my package asteRisk, that will require the usage of large data files (amounting in total to ~100 MB).
>> | 
>> | Given the CRAN package size limits of 5 MB, I am wondering what is the preferred solution in these cases? I have read multiple possibilities, such as requesting to CRAN to host a data-only package that would be updated very infrequently, or hosting the data in another repository and providing functions in the main package to retrieve the required files.
>> 
>> In case you have not seen it yet, the R Journal article Brooke and I wrote a
>> few years ago covers exactly this use case, and walks through how to cover it
>> in a fairly detailed way.
>> 
>> https://journal.r-project.org/archive/2017/RJ-2017-026/index.html
>> 
>> @article{RJ-2017-026,
>> author = {G. Brooke Anderson and Dirk Eddelbuettel},
>> title = {{Hosting Data Packages via drat: A Case Study with Hurricane
>>         Exposure Data}},
>> year = {2017},
>> journal = {{The R Journal}},
>> doi = {10.32614/RJ-2017-026},
>> url = {https://doi.org/10.32614/RJ-2017-026},
>> pages = {486--497},
>> volume = {9},
>> number = {1}
>> }
>> 
>> Hope this helps, Dirk
>> 
>> -- 
>> https://dirk.eddelbuettel.com | @eddelbuettel | edd using debian.org
> 
> ______________________________________________
> R-package-devel using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-package-devel


	[[alternative HTML version deleted]]