Using very large matrix

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_Friedman at nps.gov
Office (305) 224 - 4282
Fax ? ? (305) 224 - 4147



? ? ? ? ? ? Corrado
? ? ? ? ? ? <ct529 at york.ac.uk
? ? ? ? ? ? > ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?To
? ? ? ? ? ? Sent by: ? ? ? ? ? ? ? ? ?john.emerson at yale.edu, Tony Breyal
? ? ? ? ? ? r-help-bounces at r- ? ? ? ? <tony.breyal at googlemail.com>
? ? ? ? ? ? project.org ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?cc
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? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? 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: ct529 at 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: ct529 at york.ac.uk