Hi all,
I'm trying to ready a package update for CRAN, but it's failing 32 bit
Windows checks because of rJava:
```
* installing *source* package 'dialrjars' ...
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
**
Sigbert,
One approach you could consider is to _package_ the data in a (standard R)
package upon which you can have a Suggests: relationship using a
Additional_repositories: entry in DESCRIPTION. That is fully compliant and
compatible with the CRAN Policy, and has been done before -- in fact
Also, consider using the rappdirs package to write to a location that follows
standard practice on each platform.
-Original Message-
From: R-package-devel On Behalf Of
Martin Maechler
Sent: Thursday, 17 October 2019 11:44 PM
To: Sigbert Klinke
Cc: r-package-devel@r-project.org
And if the user hits "yes", the package rappdirs may be useful to get
an appropriate place to save that data.
Iñaki
On Thu, 17 Oct 2019 at 14:45, Martin Maechler
wrote:
>
> > Sigbert Klinke
> > on Thu, 17 Oct 2019 14:29:54 +0200 writes:
>
> > Hi,
> > I'am developing a
> Sigbert Klinke
> on Thu, 17 Oct 2019 14:29:54 +0200 writes:
> Hi,
> I'am developing a package that circumvents the R package size limitation
> for data sets. For this I store the data set in the internet (currently
> GitHub) and download if it is requested.
>
Quoting Sigbert Klinke :
Hi,
I'am developing a package that circumvents the R package size
limitation for data sets. For this I store the data set in the
internet (currently GitHub) and download if it is requested.
To avoid unnecessary downloads and internet connections I create a
On Thu, 2019-10-17 at 14:29 +0200, Sigbert Klinke wrote:
> Hi,
>
> I'am developing a package that circumvents the R package size
> limitation
> for data sets. For this I store the data set in the internet
> (currently
> GitHub) and download if it is requested.
>
> To avoid unnecessary
Hi,
I'am developing a package that circumvents the R package size limitation
for data sets. For this I store the data set in the internet (currently
GitHub) and download if it is requested.
To avoid unnecessary downloads and internet connections I create a
directory in the users home
