Compare the following t.test( 1:100, 101:200 )$p.value t.test( 1:100, 101:200 )
In the latter, the print method truncates to 2.2e-16. You can go as far as (depending on your machine) .Machine$double.xmin [1] 2.225074e-308 before it becomes indistinguishable from zero. But there are good reasons to truncate it at 2.2e-16 such as the difficulty in trying to accurately estimate the extreme tail probabilities. Regards, Adai On Mon, 2005-07-11 at 18:52 +0200, S.O. Nyangoma wrote: > Hi there, > If I do an lm, I get p-vlues as > > p-value: < 2.2e-16 > > This is obtained from F =39540 with df1 = 1, df2 = 7025. > > Suppose am interested in exact value such as > > p-value = 1.6e-16 (note = and not <) > > How do I go about it? > > stephen > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
