I'm not an expert in its use, but I believe the bigmemory package offers the functionality you are looking for (or at least similar functionality that can be co-opted for your use-case). See the sub.big.matrix function. Depending on what you mean by "huge" it may offer other benefits as well.
HTH, ~G On Fri, Aug 31, 2012 at 6:47 AM, Damien Georges <damien.georg...@gmail.com>wrote: > Hi all, > > I'm working with some huge array in R and I need to load several ones to > apply some functions that requires to have all my arrays values for each > cell... > > To make it possible, I would like to load only a part (for example 100 > cells) of all my arrays, apply my function, delete all cells loaded, loaded > following cells and so on. > > Is it possible to unserialize (or load) only a defined part of an R array ? > Do you know some tools that might help me? > > Finally, I did lot of research to find the way array (and all other R > object) are serialized into binary object, but I found nothing explaining > really algorithms involved. If someone has some information on this topic, > I'm interesting in. > > Hoping my request is understandable, > > All the best, > > Damien.G > > ______________________________**________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/**listinfo/r-devel<https://stat.ethz.ch/mailman/listinfo/r-devel> > -- Gabriel Becker Graduate Student Statistics Department University of California, Davis [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
