From Greg.Snow at imail.org  Thu Feb 14 17:43:17 2008
From: Greg.Snow at imail.org (Greg Snow)
Date: Thu, 14 Feb 2008 09:43:17 -0700
Subject: [Rd] Vector binding on harddisk
In-Reply-To: <47B426BE.9010606@gmx.net>
References: <47B426BE.9010606@gmx.net>
Message-ID: <07E228A5BE53C24CAD490193A7381BBBEE07D6@LP-EXCHVS07.CO.IHC.COM>

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
> 



[Rd] Vector binding on harddisk
Greg Snow