[EMAIL PROTECTED] (A.J. Rossini) writes: > For various reasons, I spent part of my time today looking at sample > size and power calculation tools (don't ask, don't tell...). This > seems to be one area that R is incredibly weak in (well, nearly all > stat packages, except perhaps specialized tools and SAS); sure, there > are a number of functions in various packages: > > base, statmod, Hmisc > > Have I missed something? (I would've expected at least one sequential > computation, or non-standard design, but apparently there are none, or > I missed it). > > I'd appreciate hearing about work that I've missed...
Is SAS particularly hot? I've just been explaining to people how to cheat SAS Analyst into letting the Two-Sample t-Test sample-sizer do binomial proportions with a fudged SD. I think Claus Ekstr�m submitted a modification power.t.test for unequal sample size, but he wasn't sufficiently assertive that it was actually done right, so it didn't get in. One thing we really ought to get around to soon is sample sizing for equivalence studies. And, yes, sequential procedures would be obvious too. -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
