Indeed. Thanks for your suggestions. To elaborate briefly. The ``quantile`` function offers 9 types of methods. The ``sd`` function only one. The ``mad`` function offers ways to tweak the bias correction. The ``sd`` function doesn't.
Are there good reasons against adding features to ``sd``? after all it must be one of the most popular stats out there. Moreover the default ``sd`` function, which divides by n-1, is not well founded like the variance is. It's still biased for repeated small samples... While it's easy to roll your own function, I don't think we can expect beginners to write something like: sdp = function(x) sqrt(sum((x-mean(x))^2)/length(x)) On Wed, Feb 20, 2019 at 9:00 AM Dario Strbenac <dstr7...@uni.sydney.edu.au> wrote: > Good day, > > It is implemented by the CRAN package multicon. The function is named > popsd. But it does seem like something R should provide without creating a > package dependency. > > -------------------------------------- > Dario Strbenac > University of Sydney > Camperdown NSW 2050 > Australia > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
