email: [EMAIL PROTECTED]
- Original Message - From: Charles C. Berry
[EMAIL PROTECTED] Date: Saturday, August 4, 2007
8:01 pm Subject: Re: [R] Mixture of Normals with Large
Data To: [EMAIL PROTECTED] Cc:
r-help@stat.math.ethz.ch
On Wed, 8 Aug 2007, Martin Maechler wrote:
BertG == Bert Gunter [EMAIL PROTECTED]
on Tue, 7 Aug 2007 16:18:18 -0700 writes:
TV Have you considered the situation of wanting to
TV characterize probability densities of prevalence
TV estimates based on a complex random sample
PROTECTED]
Date: Saturday, August 4, 2007 8:01 pm
Subject: Re: [R] Mixture of Normals with Large Data
To: [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
On Sat, 4 Aug 2007, Tim Victor wrote:
All:
I am trying to fit a mixture of 2 normals with 110 million
observations. I
am
-
From: Charles C. Berry [EMAIL PROTECTED]
Date: Saturday, August 4, 2007 8:01 pm
Subject: Re: [R] Mixture of Normals with Large Data
To: [EMAIL PROTECTED]
Cc: r-help@stat.math.ethz.ch
On Sat, 4 Aug 2007, Tim Victor wrote:
All:
I am trying to fit a mixture of 2 normals with 110
Gunter
Genentech Nonclinical Statistics
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Tim Victor
Sent: Tuesday, August 07, 2007 3:02 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Mixture of Normals with Large Data
I wasn't aware
PROTECTED] On Behalf Of Tim Victor
Sent: Tuesday, August 07, 2007 3:02 PM
To: r-help@stat.math.ethz.ch
Subject: Re: [R] Mixture of Normals with Large Data
I wasn't aware of this literature, thanks for the references.
On 8/5/07, RAVI VARADHAN [EMAIL PROTECTED] wrote:
Another possibility is to use
Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: [EMAIL PROTECTED]
- Original Message -
From: Charles C. Berry [EMAIL PROTECTED]
Date: Saturday, August 4, 2007 8:01 pm
Subject: Re: [R] Mixture of Normals with Large Data
To: [EMAIL PROTECTED]
Cc
All:
I am trying to fit a mixture of 2 normals with 110 million observations. I
am running R 2.5.1 on a box with 1gb RAM running 32-bit windows and I
continue to run out of memory. Does anyone have any suggestions.
Thanks so much,
Tim
[[alternative HTML version deleted]]
On Sat, 4 Aug 2007, Tim Victor wrote:
All:
I am trying to fit a mixture of 2 normals with 110 million observations. I
am running R 2.5.1 on a box with 1gb RAM running 32-bit windows and I
continue to run out of memory. Does anyone have any suggestions.
If the first few million
