That typically assumes equal population variances, and not everybody wants that in a two-sample test. t.test() provides more options with less work.
Dennis On Fri, Feb 5, 2010 at 9:38 AM, Jacobs <j...@roofchop.com> wrote: > > I would use aov( ) > > mod<-aov(Score~Group, data=x) > summary(mod) > > JJ > -- > View this message in context: > http://n4.nabble.com/t-test-tp1470539p1470558.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
