I am using the gls function of the nlme package to analyze data sets of
soil respiration which have the following design: 3 complete blocks x 5
sampling dates (time from fertilization) x 3 fertilization levels. The
fertilization dates are equal for all subjects (blocks) but not
periodical (-46, 10, 24, 53, 123 days from the event).
The code that I've been using is:
fit.csnC<- gls(dno.C ~ block+Fertil*factor(Samp), data=dDakot,
method="ML", corr=corCompSymm(, form=~1|block))
fit.arhnC<-update(fit.csnC, corr=corAR1(, form=~1|block),
weight=varIdent(form =~1|Samp))
I've plotted the model with :
plot(fit.csnC)
plot(fit.csnC,dno.C ~ fitted(.), abline = c(0,1))
and residuals look fine, same as observed vs. fitted values.
I would like to make sure that the model specification and the gls
function are correct for this design. Then, if the model is OK, how do I
do to test for main and simple effects, ie. how can I apply contrasts to
the model?
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