Hi, This is from the help file for logLik():
x <- 1:5 lmx <- lm(x ~ 1) logLik(lmx)
log Lik.' -8.82756 (df=2) Two questions: 1) doesn't the model lmx have one degree of freedom, not two? 2) how is this log-likelihood calculated? If I have two nested linear models (say lm models, not worrying about mixed models here), I know how to compare them using an F-test, but I don't understand the difference (if there is one) between using an F-test and using a likelihood-ratio test. Thanks, Dan