[Bioc-devel] Interoperability between DataFrame and dplyr?
Lists are vectors, but as long as they aren't doing too much C++, or assert specific types, it should work. Functions like length(), names(), [, etc dispatch to both S3 and S4.
On Thu, Apr 23, 2015 at 6:11 PM, Ryan Thompson <rct at thompsonclan.org> wrote:
It looks like dplyr has support for base R lists as columns in data frames: http://cran.r-project.org/web/packages/dplyr/vignettes/data_frames.html Hopefully that feature is flexible enough to accommodate anything that looks sufficiently like a vector. Is love to give this a try, but I can't find anything on what specifically needs to be implemented for a new dplyr backend. In theory, probably not that hard. DataFrame implements methods on primitive and S3 generics, so even the darkest shadows of the S3 world will dispatch correctly on those. One potential roadblock is that dplyr may assume that all columns are base R vectors, which would obviously fail for stuff like Rle. Ideally, the data.frame implementation of dplyr has restricted itself to some subset of the base R API, without diving down into C++, except through dispatch. But that might be too idealistic. Good luck, I'm interested to see what you come up with. Michael On Thu, Apr 23, 2015 at 4:06 PM, Ryan C. Thompson <rct at thompsonclan.org> wrote:
Hi all, So, dplyr is a pretty cool thing, but it currently works with data.frame and data.table, but not S4Vectors::DataFrame. I'd like to change that if possible, and I assume that this would "simply" involve writing some glue code. However, I'm not really sure where to start, and I expect things might be complicated because dplyr uses S3 and S4Vectors uses S4. Can anyone offer any pointers? -Ryan
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