My usual advice on getting nonstandard F tests out of anova() is to fit the models explicitly and compare.
So how about this? fit1 <- lm(diff(extra,10) ~ 1, sleep) fit0 <- update(fit1, ~ -1) anova(fit0, fit1) -pd > On 26 Dec 2022, at 13:49 , Gabor Grothendieck <ggrothendi...@gmail.com> wrote: > > Suppose we want to perform a paired test using the sleep data frame > with anova in R. Then this works and gives the same p value as > t.test(extra ~ group, sleep, paired = TRUE, var.equal = TRUE) > > ones <- rep(1, 10) > anova(lm(diff(extra, 10) ~ ones + 0, sleep) > > This gives output but does not give an F test at all. > > ones <- rep(1, 10) > anova(lm(diff(extra, 10) ~ 1, sleep) > > Maybe there should be some way to force an F test to be produced for > the intercept in anova for consistency with t.test so that the second > code can be used. > > > -- > Statistics & Software Consulting > GKX Group, GKX Associates Inc. > tel: 1-877-GKX-GROUP > email: ggrothendieck at gmail.com > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
