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 <josh@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]]

