...@gmail.com
To: array chip arrayprof...@yahoo.com
Cc: r-help@r-project.org; r-sig-mixed-mod...@r-project.org
Sent: Mon, September 20, 2010 12:28:43 PM
Subject: Re: [R] lmer() vs. lme() gave different variance component estimates
On 09/20/2010 08:09 PM, array chip wrote:
Thank you Peter for your
pda...@gmail.com
To: array chip arrayprof...@yahoo.com
Cc: r-help@r-project.org; r-sig-mixed-mod...@r-project.org
Sent: Mon, September 20, 2010 12:28:43 PM
Subject: Re: [R] lmer() vs. lme() gave different variance component estimates
On 09/20/2010 08:09 PM, array chip wrote:
Thank you Peter
-help@r-project.org; r-sig-mixed-mod...@r-project.org
Sent: Mon, September 20, 2010 12:28:43 PM
Subject: Re: [R] lmer() vs. lme() gave different variance component
estimates
On 09/20/2010 08:09 PM, array chip wrote:
Thank you Peter for your explanation of relationship between aov and lme
Cc: r-help@r-project.org; r-sig-mixed-mod...@r-project.org
Sent: Mon, September 20, 2010 12:28:43 PM
Subject: Re: [R] lmer() vs. lme() gave different variance component
estimates
On 09/20/2010 08:09 PM, array chip wrote:
Thank you Peter for your explanation of relationship between aov
-help@r-project.org; r-sig-mixed-mod...@r-project.org
Sent: Sat, September 18, 2010 1:35:45 AM
Subject: Re: [R] lmer() vs. lme() gave different variance component estimates
For a nested design, the relation is quite straightforward: The residual
MS are the variances of sample means scaled
you very much!
John
- Original Message
From: Peter Dalgaard pda...@gmail.com
To: array chip arrayprof...@yahoo.com
Cc: r-help@r-project.org; r-sig-mixed-mod...@r-project.org
Sent: Sat, September 18, 2010 1:35:45 AM
Subject: Re: [R] lmer() vs. lme() gave different
() vs. lme() gave different variance component estimates
For a nested design, the relation is quite straightforward: The residual
MS are the variances of sample means scaled to be comparable with the
residuals (so that in the absense of random components, all
MS are equal to within the F
On 09/17/2010 10:50 PM, array chip wrote:
Thank you Peter. Actually 3 people from mixed model mailing list tried my
code
using lmer(). They got the same results as what I got from lme4(). So they
couldn't replicate my lmer() results:
Random effects:
Groups NameVariance
On 09/17/2010 09:14 PM, array chip wrote:
Hi, I asked this on mixed model mailing list, but that list is not very
active,
so I'd like to try the general R mailing list. Sorry if anyone receives the
double post.
Hi, I have a dataset of animals receiving some eye treatments. There are 8
-project.org
Sent: Fri, September 17, 2010 1:05:27 PM
Subject: Re: [R] lmer() vs. lme() gave different variance component estimates
On 09/17/2010 09:14 PM, array chip wrote:
Hi, I asked this on mixed model mailing list, but that list is not very
active,
so I'd like to try the general R mailing
. lme() gave different variance component
estimates
On 09/17/2010 09:14 PM, array chip wrote:
Hi, I asked this on mixed model mailing list, but that list is not very
active,
so I'd like to try the general R mailing list. Sorry if anyone receives
the
double post.
Hi, I have
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