Access the information in
help(predict)
help(fitted)
With your reproducible code, run the following
predict(model1)
predict(model1, type="response")
predict(model1, type="response", se.fit=TRUE)
require(lattice)
xyplot(value+fitted(model1)~treatments, data=mydata1,
distribute.type=TRUE, type=c("p","a"))
Explore the documentation and examples showed there.
At your disposal.
Walmes.
-----
..oooO
..................................................................................................
..(....)... 0ooo... Walmes Zeviani
...\..(.....(.....)... Master in Statistics and Agricultural
Experimentation
....\_)..... )../.... walmeszevi...@hotmail.com, Lavras - MG, Brasil
............
(_/............................................................................................
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