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
** bu
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 th
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
Subject
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 package
> 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
dir
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 downloads
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 directo
