Thank you for the package. Packages creating publication ready tables are always welcome. I found that, at least for plain linear models, specifying new contrasts does not produce the final table as I expected. See the following for an example of what happens:
`library(autoReg)
data("mtcars")
fit=lm(mpg ~ cyl,
data=mtcars)
autoReg(fit,final=TRUE)
mtcars$cyl.f <- factor(mtcars$cyl)
fit = lm(mpg ~ cyl.f,
data=mtcars)
autoReg(fit,final=TRUE)
contrasts(mtcars$cyl.f) <- contr.treatment(3, base = 3)
fit = lm(mpg ~ cyl.f,
data=mtcars)
autoReg(fit,final=TRUE)`
Admittedly, I do not know how to read R code well enough to look at the underlying functions to know what is going on, or how it might be fixed.
Thanks again.
Thank you for the package. Packages creating publication ready tables are always welcome. I found that, at least for plain linear models, specifying new contrasts does not produce the final table as I expected. See the following for an example of what happens:
`library(autoReg)
data("mtcars")
fit=lm(mpg ~ cyl,
data=mtcars)
autoReg(fit,final=TRUE)
mtcars$cyl.f <- factor(mtcars$cyl)
fit = lm(mpg ~ cyl.f,
data=mtcars)
autoReg(fit,final=TRUE)
contrasts(mtcars$cyl.f) <- contr.treatment(3, base = 3)
fit = lm(mpg ~ cyl.f,
data=mtcars)
autoReg(fit,final=TRUE)`
Admittedly, I do not know how to read R code well enough to look at the underlying functions to know what is going on, or how it might be fixed.
Thanks again.