From bcarvalh at jhsph.edu  Thu Feb 14 19:58:57 2008
From: bcarvalh at jhsph.edu (Benilton Carvalho)
Date: Thu, 14 Feb 2008 13:58:57 -0500
Subject: [Rd] Vector binding on harddisk
In-Reply-To: <07E228A5BE53C24CAD490193A7381BBBEE07D6@LP-EXCHVS07.CO.IHC.COM>
References: <47B426BE.9010606@gmx.net>
	<07E228A5BE53C24CAD490193A7381BBBEE07D6@LP-EXCHVS07.CO.IHC.COM>
Message-ID: <F234D5F2-CD67-47A6-B90A-50F87C2363E0@jhsph.edu>

also, take a look at the "ff" package.
b

On Feb 14, 2008, at 11:43 AM, Greg Snow wrote:

> You may want to look at the SQLiteDF package, this allows you to put
> your data into an SQLite database and treat that like a normal  
> vector or
> data frame inside of R.
>
> Hope this helps,
>
> -- 
> Gregory (Greg) L. Snow Ph.D.
> Statistical Data Center
> Intermountain Healthcare
> greg.snow at imail.org
> (801) 408-8111
>
>
>
>> -----Original Message-----
>> From: r-devel-bounces at r-project.org
>> [mailto:r-devel-bounces at r-project.org] On Behalf Of _
>> Sent: Thursday, February 14, 2008 4:32 AM
>> To: r-devel at r-project.org
>> Subject: [Rd] Vector binding on harddisk
>>
>> Hi all,
>> Using big vectors (more than 4GB) is unfortunately not
>> possible under Windows or other OS's if not enough RAM exists.
>> Could it be possible to implement an a new data type in R,
>> like a vector, but instead holding the information in memory,
>> the data lies on an file. If data is accessed, the data type
>> vector get the information automatically from the file.
>> There is a package out there (named ff) but the accessed
>> boundary have to be declared by the user this is a disadvantage.
>>
>> Greetings.
>>
>> ______________________________________________
>> R-devel at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-devel
>>
>
> ______________________________________________
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[Rd] Vector binding on harddisk
Benilton Carvalho