Hello,
I have data
on the maturity of two morphs of fish. I want to test whether their maturity is
evolving differently or not on a temporal scale (month). The maturity variable
(independent
variable) is continuous and the morph and month variables (dependant variables)
are categorical. Because the data show variance heterogeneity, I modeled it
with the function gls:
kg1 =
gls(maturity~morph*month, weights = varIdent(form = ~ 1 |morph*month) ,
na.action=na.omit, method="ML")
Next, I
want to test if the two effects morph and month are significant so I use
the function anova
anova(kg1)
Denom. DF: 75
numDF F-value p-value
(Intercept) 1
174.20833 <.0001
morph 1
5.37109 0.0232
month 5 46.41181
<.0001
morph:month 5 2.85388
0.0206
The problem is that I
want the results of a non-sequential anova. I tried also the function Anova,
but I get an error message:
Error in !factors[,
term2] : invalid argument type
Is there a way to fix
this problem or is it possible to specify a non-sequential anova?
Thank you
Ariane
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