It’s rather difficult. For example, the base R Kendall tau is written with the naive O(n^2). The much faster O(n log n) implementation was programmed and is in the pcaPP package. When I say much faster, I mean that my implementation in Excel VBA was faster than R for 10,000 or so pairs. R-Core decided not to implement that code, and instead made a note about the faster implementation living in pcaPP in the help for “cor”. See [1] for the 2012 discussion. My point is it’s really really difficult to get something in Base R. Develop it well, put it in a package, and you have basically the same result.
Avi [1] https://stat.ethz.ch/pipermail/r-devel/2012-June/064351.html On Fri, Oct 11, 2019 at 9:55 AM Morgan Morgan <morgan.email...@gmail.com> wrote: > How do you prove usefulness of a feature? > Do you have an example of a feature that has been added after proving to be > useful in the package space first? > > Thank you, > Morgan > > On Fri, 11 Oct 2019 13:53 Michael Lawrence, <lawrence.mich...@gene.com> > wrote: > > > Thanks for this interesting suggestion, Morgan. While there is no strict > > criteria for base R inclusion, one criterion relevant in this case is > that > > the usefulness of a feature be proven in the package space first. > > > > Michael > > > > > > On Fri, Oct 11, 2019 at 5:19 AM Morgan Morgan <morgan.email...@gmail.com > > > > wrote: > > > >> On Fri, 11 Oct 2019 10:45 Duncan Murdoch, <murdoch.dun...@gmail.com> > >> wrote: > >> > >> > On 11/10/2019 6:44 a.m., Morgan Morgan wrote: > >> > > Hi All, > >> > > > >> > > I was looking for a function to find a small matrix inside a larger > >> > matrix > >> > > in R similar to the one described in the following link: > >> > > > >> > > > >> > > >> > https://www.mathworks.com/matlabcentral/answers/194708-index-a-small-matrix-in-a-larger-matrix > >> > > > >> > > I couldn't find anything. > >> > > > >> > > The above function can be seen as a "generalisation" of the "which" > >> > > function as well as the function described in the following post: > >> > > > >> > > > >> > > >> > https://coolbutuseless.github.io/2018/04/03/finding-a-length-n-needle-in-a-haystack/ > >> > > > >> > > Would be possible to add such a function to base R? > >> > > > >> > > I am happy to work with someone from the R core team (if you wish) > and > >> > > suggest an implementation in C. > >> > > >> > That seems like it would sometimes be a useful function, and maybe > >> > someone will point out a package that already contains it. But if > not, > >> > why would it belong in base R? > >> > > >> > >> If someone already implemented it, that would great indeed. I think it > is > >> a > >> very general and basic function, hence base R could be a good place for > >> it? > >> > >> But this is probably not a good reason; maybe someone from the R core > team > >> can shed some light on how they decide whether or not to include a > >> function > >> in base R? > >> > >> > >> > Duncan Murdoch > >> > > >> > >> [[alternative HTML version deleted]] > >> > >> ______________________________________________ > >> R-devel@r-project.org mailing list > >> https://stat.ethz.ch/mailman/listinfo/r-devel > >> > > > > > > -- > > Michael Lawrence > > Scientist, Bioinformatics and Computational Biology > > Genentech, A Member of the Roche Group > > Office +1 (650) 225-7760 > > micha...@gene.com > > > > Join Genentech on LinkedIn | Twitter | Facebook | Instagram | YouTube > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > -- Sent from Gmail Mobile [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
