[Bioc-devel] Interoperability between DataFrame and dplyr?

[Michael Lawrence]

Sure, but the way DataFrame is flexible is by relying on two abstractions
in base R. Just length() and '['. If dplyr does the same thing, which seems
totally reasonable, everything should work the same.

On Thu, Apr 23, 2015 at 4:32 PM, Vincent Carey <stvjc at channing.harvard.edu>
wrote:

> Seems to me that DataFrame is too flexible -- you can have very complex
> objects in the columns (anything that inherits from Vector) with which, in
> its current state, dplyr would not work too naturally.  You would wind up
> doing a fair amount of coercion of such entities, so it seems to me that
> arranging a coercion of DataFrames satisfying specific conditions to
> data.frame would be a path of low resistance.
>
> Ready to be corrected of course.
>
>
> On Thu, Apr 23, 2015 at 7:06 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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> >
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