[R] Using very large matrix

[Corrado]

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