> -----Original Message----- > From: r-devel-boun...@r-project.org > [mailto:r-devel-boun...@r-project.org] On Behalf Of Jon Clayden > Sent: Tuesday, March 29, 2011 5:46 AM > To: r-devel@r-project.org > Subject: [Rd] Reading 64-bit integers > > Dear all, > > I see from some previous threads that support for 64-bit integers in R > may be an aim for future versions, but in the meantime I'm wondering > whether it is possible to read in integers of greater than 32 bits at > all. Judging from ?readBin, it should be possible to read 8-byte > integers to some degree, but it is clearly limited in practice by R's > internally 32-bit integer type: > > > x <- as.raw(c(0,0,0,0,1,0,0,0)) > > (readBin(x,"integer",n=1,size=8,signed=F,endian="big")) > [1] 16777216 > > x <- as.raw(c(0,0,0,1,0,0,0,0)) > > (readBin(x,"integer",n=1,size=8,signed=F,endian="big")) > [1] 0 > > For values that fit into 32 bits it works fine, but for larger values > it fails. (I'm a bit surprised by the zero - should the value not be > NA if it is out of range?) The value can be represented as a double, > though: > > > 4294967296 > [1] 4294967296 > > I wouldn't expect readBin() to return a double if an integer was > requested, but is there any way to get the correct value out of it?
In S+'s readBin() you can use the argument output="double" to read 8-byte integers from a file and to put the closest equivalent value into a double precision vector. It is also useful when reading unsigned 4-byte integers that may be above 2^31. The help file says output Like what but used when the type of data in the file is different than the type of S-PLUS vector used to store the data. what refers to the data in the file and output refers to the output of readBin. output=double() is useful for reading unsigned 4 byte integers (so integers bigger than 2^31 are not read as negative numbers) or even for 8 byte integers on 32-bit versions of Splus. In the latter case you may lose some precision, but reading it as 4 byte integers will omit the 4 high order bytes. > I > suppose one could read the bytes into a raw vector and then > reconstruct the number manually from that, but is there a more elegant > or built-in solution that I'm not aware of? > > This is R 2.12.1 on Mac OS X.6.7 - .Machine$sizeof.long is 8. > > Many thanks, > Jon > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel