This post https://stat.ethz.ch/pipermail/r-sig-mixed-models/2009q1/001819.html
may help you understand why the standard p-values in some cases are
not the right thing to do and what one alternative is.
On Tue, Feb 14, 2012 at 3:36 PM, Xiang Gao wrote:
> Hi
>
> I am working on a Nested one-way ANO
On Feb 14, 2012, at 5:36 PM, Xiang Gao wrote:
Hi
I am working on a Nested one-way ANOVA. I don't know how to implement
R code to test the significance of the random factor
Have you read what the unofficial Mixed Model FAQ says about testing
for significance on random effects?
http://glmm
Hi
I am working on a Nested one-way ANOVA. I don't know how to implement
R code to test the significance of the random factor
My R code so far can only test the fixed factor :
anova(lme(PCB~Area,random=~1|Sites, data = PCBdata))
numDF denDF F-value p-value
(Intercept) 112 1
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