Hi Iñaki, OK, it sounds like we have no practical disagreement: you're planning to keep separate packages and then have a third one for integration. That will be fine for people like me who don't necessarily want to specify units for our regressions. I look forward to seeing this!
Cheers, David On 7 October 2017 at 13:00, Iñaki Úcar <i.uca...@gmail.com> wrote: > 2017-10-06 22:28 GMT+02:00 David Hugh-Jones <davidhughjo...@gmail.com>: > > Many measurements have no unit, but some uncertainty - e.g. the b and se > > from an arbitrary regression. Can you give specific examples of the > > advantages from binding these packages tightly together? > > As Duncan already pointed out, the units of b and se from an arbitrary > regression depend on the units of your variables. The advantages from > integrating both packages are the combination of advantages from each > one with the same workflow as if you were working with bare numbers. > > It seems that you are already aware of the advantages of automatic > error propagation. Regarding the units package, it is very useful for > painless conversion of units. A conversion from kg to g is elementary, > but some others require more care, for example J to eV, or N.m-1 to > dyn.cm-1. In electromagnetism, it is very common to work with the CGS > units system, and an automatic conversion from/to the SI comes in > handy. > > If you are not persuaded already, we can also talk about the Mars > Climate Orbiter, a robotic space probe launched by NASA on 1998 which > disintegrated in Mars' upper atmosphere due to a computation with > wrong units. > > Iñaki > [[alternative HTML version deleted]] ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel