Hello everyone,
Sorry if my question is not clear, my first language is not English, but
Portuguese.
I am building a model for my data, using non-binomial error. I am having a
bit of a problem when updating the model to remove parameters that I no do
no autocorrelate with other variables (I have used a autocorrelation
function for this).
So my first model looks like this:
model1.glm.nb<-glm.nb(ozone ~ ., data=climate.dat)
summary(model1.glm.nb)
model1AIC.glm.nb<-stepAIC(model1.glm.nb)
When I run it, it doesn't give me any significance. So I run a second model,
with my autocorrelation table, and remove one more variable that does not
autocorrelate with other (anything below .07)
model2.glm.nb2 <- update(model1.glm.nb, ~ . - rain, data=climate.dat)
summary(model2.glm.nb2)
Now, when I run a 3rd. model to remove rain, it shows after summary that
rain has been removed. Once I do a forth model rain is again in it. How can
I remove more than one variable in one go?
I was thinking doing something like this:
model2.glm.nb2 <-update(model1.glm.nb, ~ . -rain, -temp, data=climate.dat)
summary(model2.glm.nb2)
Obviously using the - sign is not working and I am getting an error message.
Thank you for your help.
Michelle
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