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
