Thanks, Duncan, I agree with you in terms of doing the tests independently. I've modified the code and updated the package at R-forge.
As for the choice of vertical bars or points, you are free to provide the option "type = 'h'" or "type = 'p'" in the function. Regards, Yihui -- Yihui Xie <[EMAIL PROTECTED]> Phone: +86-(0)10-82509086 Fax: +86-(0)10-82509086 Mobile: +86-15810805877 Homepage: http://www.yihui.name School of Statistics, Room 1037, Mingde Main Building, Renmin University of China, Beijing, 100872, China On Fri, Oct 17, 2008 at 2:26 AM, Duncan Murdoch <[EMAIL PROTECTED]> wrote: > My suggestion (and this is a matter of taste) would be to do the tests > independently, rather than using the same dataset plus new observations each > time. It is hard to understand the behaviour of p-values even without > complicating things by giving a correlated sequence of them. > > And this is even more a matter of taste: I'd plot the p-values as points, > not as vertical bars. Showing that a p-value of 0.8 is twice as big as a > p-value of 0.4 isn't useful for interpreting them. > > Duncan Murdoch > > ______________________________________________ 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.
