[Rd] Arrays Partial unserialization
whuber at embl.de
Sun Sep 9 11:17:18 CEST 2012
Yet another option is provided by the 'rhdf5' package on Bioconductor,
which interfaces to HDF5, a cross-platform infrastructure for exactly
this purpose: http://www.hdfgroup.org/HDF5/whatishdf5.html
Aug/31/12 4:44 PM, Gabriel Becker scripsit:
> 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.
> On Fri, Aug 31, 2012 at 6:47 AM, Damien Georges
> <damien.georges2 at 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
>> 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,
>> R-devel at r-project.org mailing list
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