[R-pkg-devel] r-quantities seeking feedback
murdoch.duncan at gmail.com
Fri Oct 6 22:40:29 CEST 2017
On 06/10/2017 4:28 PM, David Hugh-Jones wrote:
> 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?
Just to nitpick: in the regression y = a + b x, b needs to have the
units of y divided by the units of x. Its se has the same units. If
you change the units for either x or y, you'll change the appropriate
value of b and se.
> On Fri, 6 Oct 2017 at 21:23, Iñaki Úcar <i.ucar86 at gmail.com> wrote:
>> El 6 oct. 2017 19:13, "David Hugh-Jones" <davidhughjones at gmail.com>
>> One question that comes to mind: what's the synergy? I e why are units and
>> errors best handled together? I use standard errors a lot, but never
>> units... I would like a standard way to represent uncertainty but don't
>> think I need the other stuff.
>> You will always be able to use errors (or units) alone if you wish, but
>> every measurement has a unit and some uncertainty, so we think it's
>> interesting to have the possibility of handling them in a unified way (I/O,
>> propagation, automatic axes and error bars in plots...).
>> On Fri, 6 Oct 2017 at 17:25, Iñaki Úcar <i.ucar86 at gmail.com> wrote:
>>> Dear all,
>>> Edzer Pebesma and I are combining forces into a new GitHub
>>> organisation called "r-quantities", to which we have moved the CRAN
>>> packages 'units', 'errors' and 'constants'. The idea is to write a new
>>> package called 'quantities' to integrate 'units' and 'errors' into a
>>> comprehensive solution for dealing with quantity values + uncertainty
>>> Given that a significant fraction of R users, both practitioners and
>>> researchers, use R to analyse measurements, we believe that the R
>>> community would benefit from such a project. Moreover, to the best of
>>> our knowledge, there exists no such an integrated and automated
>>> framework outside the R language.
>>> We would like to share a proposal  to be submitted to the R
>>> Consortium before October 15. Until then, we kindly invite the R
>>> package developers to review it. Any feedback or contribution would be
>>> very helpful.
>>>  https://github.com/r-quantities/proposal
>>> R-package-devel at r-project.org mailing list
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