Re: [Rd] How to handle INT8 data

2017-01-20 Thread Nicolas Paris
otal possible number you'll ever have is < INT_MAX), you could store them > as factors. You get the speed of integers but the labeling of full "precision" > strings. Factors are fast for joins. > > ~G > > On Fri, Jan 20, 2017 at 9:47 AM, Nicolas Paris wrot

Re: [Rd] How to handle INT8 data

2017-01-20 Thread Nicolas Paris
,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

Re: [Rd] How to handle INT8 data

2017-01-20 Thread Nicolas Paris
hem as strings. If not, what sort of > calculations do you plan on doing with them? > Bill Dunlap > TIBCO Software > wdunlap tibco.com > > > On Fri, Jan 20, 2017 at 6:33 AM, Nicolas Paris wrote: > > Hello r users, > > > > I have to deal with int8 data with

Re: [Rd] How to handle INT8 data

2017-01-20 Thread Nicolas Paris
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 > > &

[Rd] How to handle INT8 data

2017-01-20 Thread Nicolas Paris
-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