Thanks for sharing, Martin. You're right that the interface for mFUN
should be more general than I initially thought.*
Perhaps you have other cases/examples where the ina argument is
useful, in which case ignore me, but your example with the robust mFUN
doesn't use the ina argument. What about hav
Hi Hilmar and Ivan,
I have used your code examples to write a blog post about this topic,
which has figures that show the asymptotic time complexity of the
various approaches,
https://tdhock.github.io/blog/2023/df-partial-match/
The asymptotic complexity of partial matching appears to be quadratic
Hi Hilmar and Ivan,
I have used your code examples to write a blog post about this topic,
which has figures that show the asymptotic time complexity of the
various approaches,
https://tdhock.github.io/blog/2023/df-partial-match/
The asymptotic complexity of partial matching appears to be quadratic
Hello all,
Following up on this old thread as I have recently observed, rather a
bad practice (maintaining order of installation for R packages rather
than relying on R for that), for solving a problem that R branch
tools4pkgs (mentioned in this email) addresses very well.
More details can be foun
> Steve Martin
> on Mon, 18 Dec 2023 07:56:46 -0500 writes:
> Does mFUN() really need to be a function of x and the NA values of x? I
> can't think of a case where it would be used on anything but the non-NA
> values of x.
> I think it would be easier to specify a dif