On Wed, 29 Jan 2020 at 15:11, Guido Kraemer <gkrae...@bgc-jena.mpg.de> wrote: > > I am developing an R package that can make (optional, but strongly > recommended) use of a number of external compression algorithms. What is > the best strategy if I want to distribute this as an R package? Because > the package is for reading large external data sets, the package will > probably not be very useful without compression. > > - Make a hard dependency on all external libraries and make user > manually disable it if they cannot install a library for some reason? > > - Make no dependency on external libraries and have the user compile it > manually if they want compression? > > - Look for installed libraries and use only these? (If so: How would I > do this during the installation of an R package?) > > - How does this work on Windows? > > The possible compressions are: blosc, zlib, bzip2, lz4, xz
You could take a look at the fst package [1], which bundles the zstd library [2]. And that's probably everything you need. Or you may want to directly use the fst package if your target is tabular data. [1] https://cran.r-project.org/web/packages/fst/index.html [2] https://github.com/facebook/zstd ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel