On Sun, Dec 15, 2019 at 6:27 PM wrote:
> Thanks for this information, and it makes sense to me. Is there a preferred
> way to cache the data locally?
Personally I like making an R package out of the data and hosting it
in an "AdditionalRepository". This is quite easy with the help of the
drat
#2, but have it default to
> somewhere in their home directory like `file.path(Sys.getenv("HOME"),
> "datapkg_cache")` if they have not set the option.
>
> To me #3 sounds best, but I'd like to be sure that I'm not missing something.
>
> Thanks,
>
> Bill
etenv("HOME"),
"datapkg_cache")` if they have not set the option.
To me #3 sounds best, but I'd like to be sure that I'm not missing something.
Thanks,
Bill
-Original Message-
From: Uwe Ligges
Sent: Sunday, December 15, 2019 11:54 AM
To: b...@denney.ws; r-package-de
Ideally yoiu wpuld host the data elsewhere and submit a CRAN package
that allows users to easily get/merge/aggregate the data.
Best,
Uwe Ligges
On 12.12.2019 20:55, b...@denney.ws wrote:
Hello,
I have two questions about creating data packages for data that will be
updated and in
Hello,
I have two questions about creating data packages for data that will be
updated and in total are >5 MB in size.
The first question is:
In the CRAN policy, it indicates that packages should be ?5 MB in size in
general. Within a package that I'm working on, I need access to data
