Steve et.al., The old version is still on CRAN, but I strongly encourage anyone interested to email me directly and I'll make the new version available. In fact, I wouldn't mind just pulling the old version off of CRAN, but of course that's not a great idea. !-)
Jay On Mon, Mar 2, 2009 at 8:47 AM, <steve_fried...@nps.gov> wrote: > I'm very interested in the bigmemory package for windows 32-bit > environments. Who do I need to contact to request the Beta version? > > Thanks > Steve > > Steve Friedman Ph. D. > Spatial Statistical Analyst > Everglades and Dry Tortugas National Park > 950 N Krome Ave (3rd Floor) > Homestead, Florida 33034 > > steve_fried...@nps.gov > Office (305) 224 - 4282 > Fax (305) 224 - 4147 > > > > Corrado > <ct...@york.ac.uk > > To > Sent by: john.emer...@yale.edu, Tony Breyal > r-help-boun...@r- <tony.bre...@googlemail.com> > project.org cc > r-help@r-project.org > Subject > 03/02/2009 10:46 Re: [R] Using very large matrix > AM GMT > > > > > > > > > > Thanks a lot! > > Unfortunately, the R package I have to sue for my research was only > released > on 32 bit R on 32 bit MS Windows and only closed source .... I normally > use > 64 bit R on 64 bit Linux .... :) > > I tried to use the bigmemory in cran with 32 bit windows, but I had some > serious problems. > > Best, > > On Thursday 26 February 2009 15:43:11 Jay Emerson wrote: >> Corrado, >> >> Package bigmemory has undergone a major re-engineering and will be >> available soon (available now in Beta version upon request). The version >> currently on CRAN >> is probably of limited use unless you're in Linux. >> >> bigmemory may be useful to you for data management, at the very least, >> where >> >> x <- filebacked.big.matrix(80000, 80000, init=n, type="double") >> >> would accomplish what you want using filebacking (disk space) to hold >> the object. >> But even this requires 64-bit R (Linux or Mac, or perhaps a Beta >> version of Windows 64-bit >> R that REvolution Computing is working on). >> >> Subsequent operations (e.g. extraction of a small portion for analysis) > are >> then easy enough: >> >> y <- x[1,] >> >> would give you the first row of x as an object y in R. Note that x is >> not itself an R matrix, >> and most existing R analytics can't work on x directly (and would max >> out the RAM if they >> tried, anyway). >> >> Feel free to email me for more information (and this invitation >> applies to anyone who is >> interested in this). >> >> Cheers, >> >> Jay >> >> #Dear friends, >> # >> #I have to use a very large matrix. Something of the sort of >> #matrix(80000,80000,n) .... where n is something numeric of the sort >> 0.xxxxxx # >> #I have not found a way of doing it. I keep getting the error >> # >> #Error in matrix(nrow = 80000, ncol = 80000, 0.2) : too many elements >> specified # >> #Any suggestions? I have searched the mailing list, but to no avail. >> # >> #Best, >> #-- >> #Corrado Topi >> # >> #Global Climate Change & Biodiversity Indicators >> #Area 18,Department of Biology >> #University of York, York, YO10 5YW, UK >> #Phone: + 44 (0) 1904 328645, E-mail: ct...@york.ac.uk > > > -- > Corrado Topi > > Global Climate Change & Biodiversity Indicators > Area 18,Department of Biology > University of York, York, YO10 5YW, UK > Phone: + 44 (0) 1904 328645, E-mail: ct...@york.ac.uk > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > > -- John W. Emerson (Jay) Assistant Professor of Statistics Department of Statistics Yale University http://www.stat.yale.edu/~jay ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.