Hi,
Long term, I believe getting an arrow package onto cran would be most useful for R users. Building arrow in R on Mac was easier than Linux for me. I was still having trouble installing after spending a couple hours or so. Typically if you can install.package from cran is most convenient. Devtools installation from a github repository if it works across different OSes would suffice. Most growing R users are typically using RStudio, so conda may be inconvenient for R users, because it requires installing IR kernel for anaconda. Whatever installation method or strategy you used for feather was easy for me to install as a R user. Thanks, Jonathan > On Jan 2, 2019, at 11:59 PM, Krisztián Szűcs <szucs.kriszt...@gmail.com> > wrote: > > Perhaps an R conda-forge feedstock? > I'm not sure how widely conda-forge is used in the R commmunity, > but it already hosts around a thousand packages[1]. > > [1] https://github.com/conda-forge?&q=r- > >> On Wed, Jan 2, 2019 at 6:09 PM Wes McKinney <wesmck...@gmail.com> wrote: >> >> hi folks, >> >> With 0.12 around the corner and significant progress on the R bindings >> project (sufficient for Spark integration [1]), I am wondering how >> everyday R users are going to be able to install the software >> respectively on Linux, macOS, and Windows. Thoughts about the strategy >> for this? >> >> Thanks >> Wes >> >> [1]: https://github.com/apache/arrow/pull/3001 >>
