In theory, 'lme' may be able to handle crossed random effects, but I
don't know how to do it. I've used 'lmer' for such models, and your
'lmer' code looks plausible to me. Therefore, I would be inclined to
believe the 'lmer' results.
To remove any lingering doubt, I
] On Behalf Of Douglas
Bates
Sent: Saturday, July 29, 2006 7:51 AM
To: Xianqun (Wilson) Wang
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] random effects with lmer() and lme(), three random
factors
On 7/28/06, Xianqun (Wilson) Wang [EMAIL PROTECTED] wrote:
Hi, all,
I have a question about random
On 7/28/06, Xianqun (Wilson) Wang [EMAIL PROTECTED] wrote:
Hi, all,
I have a question about random effects model. I am dealing with a
three-factor experiment dataset. The response variable y is modeled
against three factors: Samples, Operators, and Runs. The experimental
design is as follow:
Hi, all,
I have a question about random effects model. I am dealing with a
three-factor experiment dataset. The response variable y is modeled
against three factors: Samples, Operators, and Runs. The experimental
design is as follow:
4 samples were randomly chosen from a large pool of test
Hi, all,
I have a question about random effects model. I am dealing with a
three-factor experiment dataset. The response variable y is modeled
against three factors: Samples, Operators, and Runs. The experimental
design is as follow:
4 samples were randomly chosen from a large pool of
