At 12:30 PM 11/11/2003 +0100, Peter Dalgaard wrote:
[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.
There is an extensive set of power-calculation macros in SAS, by Ralph O'Brien, at <http://www.bio.ri.ccf.org/power.html>. Apparently SAS Version 9.1 will have new procs power and glmpower, which will cover most of what is in these macros.
Regards, John
----------------------------------------------------- John Fox Department of Sociology McMaster University Hamilton, Ontario, Canada L8S 4M4 email: [EMAIL PROTECTED] phone: 905-525-9140x23604 web: www.socsci.mcmaster.ca/jfox
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