[R] How to use glm.predict properly

[Diego Cesar]

I'm having a little trouble with the glm.predict function. I read the other
answers related to this question (the lm.predict question), but i'm still
receiving the same warnings, then i thought i didnt got it right.

Warning:
" 'newdata' had 87 rows but variable(s) found have 263 rows "

Commands:

datamethod1 <- data.frame(method1) resultmethod1<- glm(Y ~ method1,
binomial(link="probit"), data=datamethod1, control=glm.control(epsilon =
1e-8, maxit = 100, trace = FALSE))

prediction1 <- predict(resultmethod1, newdata=data.frame(testgroup),
type="response", se.fit=TRUE)

Where 'method1' has 263 rows and 4 variables (columns) named:
"minx1" "maxx1" "minx2" "maxx2"

And 'testgroup' has 87 rows and the same 4 variables (columns) which have
the same name.

So, i hope you guys can help me figure out what i am doing wrong.

thanks again

Diego

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