If I understand you correctly, this looks like a split-plot design.
The anova is:
aov(response~burning*temperature+Error(site), data=dataset)
Alternatively in lme:
lme(response~burning*temperature, random=~1|site, data=dataset)
At 03:09 PM 29/07/2005, you wrote:
Hello.
I am looking for some help using anova's in RGui.
My experiment ie data, has a fixed burning treatment (Factor A) 2 levels,
unburnt/burnt.
Nested within each level of Factor A are 2 random sites (Factor B).
All sites are crossed with a fixed temperature treatment (Factor C) 2
levels, 0 degreesC/2 degreesC, with many replicates of these temperature
treatments randomly located at each site.
I am trying the following
aov(dependent
variable~burning*temperature*site+Error(replicate),data=dataset) and
variations on that, however can't get it quite right the F ratios are
not correct. I imagine this is a fairly common experimental design in
ecology and would ask that anyone who has some advice please reply to this
email?
Thank-you,
Frith
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