[Bioc-devel] Interoperability between DataFrame and dplyr?

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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