Re: [R] R on Large Data Sets (again)

2009-11-29 Thread Jason Morgan
On 2009.11.29 14:24:40, Prof Brian Ripley wrote: > >> Windows 64-bit can certainly handle large memory spaces, but unless > >> something has changed recently it my understanding Revolution > >> Computing's 64-bit is the only 64-bit version of R available for > >> Windows (due to the unavailability

Re: [R] R on Large Data Sets (again)

2009-11-29 Thread Prof Brian Ripley
On Sun, 29 Nov 2009, Jason Morgan wrote: On 2009.11.28 21:50:09, Daniel Nordlund wrote: - Is a Unix-like platform a better option than win-64? Again, would this solve my memory limitation problems? Possibly, but Win64 should provide plenty of memory (I believe Windows 7 Ultimate can use up to

Re: [R] R on Large Data Sets (again)

2009-11-29 Thread Uwe Ligges
Jason Morgan wrote: On 2009.11.28 21:50:09, Daniel Nordlund wrote: - Is a Unix-like platform a better option than win-64? Again, would this solve my memory limitation problems? Possibly, but Win64 should provide plenty of memory (I believe Windows 7 Ultimate can use up to 192 GB of memory). Y

Re: [R] R on Large Data Sets (again)

2009-11-29 Thread Jason Morgan
On 2009.11.28 21:50:09, Daniel Nordlund wrote: > > > - Is a Unix-like platform a better option than win-64? Again, would > > > this solve my memory limitation problems? > > > > Possibly, but Win64 should provide plenty of memory (I believe Windows 7 > > Ultimate can use up to 192 GB of memory). Yo

Re: [R] R on Large Data Sets (again)

2009-11-29 Thread Duncan Murdoch
On 28/11/2009 6:53 PM, Lars Bishop wrote: Dear R users, I’ve search the R site for help on this topic but it is hard to find a precise answer for my questions. Which are the best options to overcome the RAM memory limitation problems when using R on “large” data sets (such as 2 or 3 million rec

Re: [R] R on Large Data Sets (again)

2009-11-28 Thread Daniel Nordlund
> -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On Behalf Of Jason Morgan > Sent: Saturday, November 28, 2009 6:18 PM > To: Lars Bishop > Cc: r-help@r-project.org > Subject: Re: [R] R on Large Data Sets (again) >

Re: [R] R on Large Data Sets (again)

2009-11-28 Thread Jason Morgan
Hello Lars, On 2009.11.28 18:53:09, Lars Bishop wrote: > Dear R users, > > I?ve search the R site for help on this topic but it is hard to find a > precise answer for my questions. > > Which are the best options to overcome the RAM memory limitation problems > when using R on ?large? data sets (

[R] R on Large Data Sets (again)

2009-11-28 Thread Lars Bishop
Dear R users, I’ve search the R site for help on this topic but it is hard to find a precise answer for my questions. Which are the best options to overcome the RAM memory limitation problems when using R on “large” data sets (such as 2 or 3 million records)? - Is the free available ver