[Rd] How to handle INT8 data
nicolas.paris at aphp.fr
Fri Jan 20 18:17:33 CET 2017
Le 20 janv. 2017 à 18h09, Murray Stokely écrivait :
> The lack of 64 bit integer support causes lots of problems when dealing with
> certain types of data where the loss of precision from coercing to 53 bits with
> double is unacceptable.
Do you mean, by eg. -1311071933951566764 loses in precision during
as.numeric(-1311071933951566764) process ?
> Two packages were developed to deal with this: int64 and bit64.
> You may need to find archival versions of these packages if they've fallen off
> Murray (mobile phone)
> On Jan 20, 2017 7:20 AM, "Gabriel Becker" <gmbecker at ucdavis.edu> wrote:
> I am not on R-core, so cannot speak to future plans to internally support
> int8 (though my impression is that there aren't any, at least none that are
> close to fruition).
> The standard way of dealing with whole numbers too big to fit in an integer
> is to put them in a numeric (double down in C land). this can represent
> integers up to 2^53 without loss of precision see (
> This is how long vector indices are (currently) implemented in R. If it's
> good enough for indices it's probably good enough for whatever you need
> them for.
> Hope that helps.
> On Fri, Jan 20, 2017 at 6:33 AM, Nicolas Paris <nicolas.paris at aphp.fr>
> > Hello r users,
> > I have to deal with int8 data with R. AFAIK R does only handle int4
> > with `as.integer` function . I wonder:
> > 1. what is the better approach to handle int8 ? `as.character` ?
> > `as.numeric` ?
> > 2. is there any plan to handle int8 in the future ? As you might know,
> > int4 is to small to deal with earth population right now.
> > Thanks for you ideas,
> > int8 eg:
> > human_id
> > ----------------------
> > -1311071933951566764
> > -4708675461424073238
> > -6865005668390999818
> > 5578000650960353108
> > -3219674686933841021
> > -6469229889308771589
> > -606871692563545028
> > -8199987422425699249
> > -463287495999648233
> > 7675955260644241951
> > reference:
> > 1. https://www.r-bloggers.com/r-in-a-64-bit-world/
> > --
> > Nicolas PARIS
> > ______________________________________________
> > R-devel at r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-devel
> Gabriel Becker, PhD
> Associate Scientist (Bioinformatics)
> Genentech Research
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