Well I definitely cannot use them as numeric because join is the main reason of those identifiers.
About int64 and bit64 packages, it's not a solution, because I am releasing a dataset for external users. I cannot ask them to install a package in order to exploit them. I have to be very carefull when releasing the data. If a user just use read.csv functions, they by default cast the identifiers as numeric. $ more res.csv "col1";"col2" "-1311071933951566764";"toto" "-1311071933951566764";"tata" > read.table("res.csv",sep=";",header=T) col1 col2 1 -1.311072e+18 toto 2 -1.311072e+18 tata >sapply(read.table("res.csv",sep=";",header=T),class) col1 col2 "numeric" "factor" > read.table("res.csv",sep=";",header=T,colClasses="character") col1 col2 1 -1311071933951566764 toto 2 -1311071933951566764 tata Am I comdemned to provide a R script with the data in order to exploit the dataset ? Le 20 janv. 2017 à 18h29, Murray Stokely écrivait : > 2^53 == 2^53+1 > TRUE > > Which makes joining or grouping data sets with 64 bit identifiers problematic. > > Murray (mobile) > > On Jan 20, 2017 9:15 AM, "Nicolas Paris" <nicolas.pa...@aphp.fr> wrote: > > 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. > > Hello Murray, > Do you mean, by eg. -1311071933951566764 loses in precision during > as.numeric(-1311071933951566764) process ? > Thanks, > > > > 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 > > cran. > > > > Murray (mobile phone) > > > > On Jan 20, 2017 7:20 AM, "Gabriel Becker" <gmbec...@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 ( > > http://stackoverflow.com/questions/1848700/biggest- > > integer-that-can-be-stored-in-a-double). > > 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. > > > > ~G > > > > > > On Fri, Jan 20, 2017 at 6:33 AM, Nicolas Paris > <nicolas.pa...@aphp.fr > > > > wrote: > > > > > Hello r users, > > > > > > I have to deal with int8 data with R. AFAIK R does only handle > int4 > > > with `as.integer` function [1]. 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@r-project.org mailing list > > > https://stat.ethz.ch/mailman/listinfo/r-devel > > > > > > > > > > > -- > > Gabriel Becker, PhD > > Associate Scientist (Bioinformatics) > > Genentech Research > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-devel@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-devel > > > > > > -- > Nicolas PARIS > > -- Nicolas PARIS ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel