Re: [Rd] How to handle INT8 data

On 21 January 2017 at 10:56, Hadley Wickham wrote: | To summarise this thread, there are basically three ways of handling int64 in R: | | * coerce to character | * coerce to double | * store in double | | ## Coerce to character Serious performance loss. | ## Coerce to double Serious

Re: [Rd] bug in rbind?

I'm not sure whether or not this is a bug, but I did isolate the line where the error is thrown: src/library/base/R/dataframe.R:1395. https://github.com/wch/r-source/blob/01374c3c367fa12f555fd354f735a6e16e5bd98e/src/library/base/R/dataframe.R#L1395 The error is thrown because the line attempts to

Re: [Rd] How to handle INT8 data

To summarise this thread, there are basically three ways of handling int64 in R: * coerce to character * coerce to double * store in double There is no ideal solution, and each have pros and cons that I've attempted to summarise below. ## Coerce to character This is the easiest approach if the

Re: [Rd] xtabs(), factors and NAs

Le vendredi 20 janvier 2017 à 18:59 +0100, Martin Maechler a écrit : > > > > > > > > > > > > Milan Bouchet-Valat > > > > > > on Thu, 19 Jan 2017 13:58:31 +0100 writes: > > Hi all, > > I know this issue has been discussed a few times in the past already, > > but Martin

Re: [Rd] How to handle INT8 data

On Fri, Jan 20, 2017 at 6:09 PM, Murray Stokely wrote: > 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. > > Two packages were developed to