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confidence intervals for mean (GLM)
2 messages · Rafael Moral, Walmes Zeviani
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.
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..oooO
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..(....)... 0ooo... Walmes Zeviani
...\..(.....(.....)... Master in Statistics and Agricultural
Experimentation
....\_)..... )../.... walmeszeviani at hotmail.com, Lavras - MG, Brasil
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