I've never replied before so i hope this goes through...

I usually just use the non-central f distribution directly

p1<-pf(qf(SIG, df1= D1, df2=D2, , 0,lower.tail = FALSE),df1=D1,df2=D2,
NCP,lower.tail = FALSE)

Where I derive or estimate the non-centrality parameter from the Expected
Mean Squares.

But there are also some packages that will so simple power calcs for t tests
and anova



On Sun, Jan 11, 2009 at 3:00 AM,
<bioc-sig-sequencing-request@r-project.org>wrote:

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> Message: 1
> Date: Sat, 10 Jan 2009 13:54:17 -0800
> From: "Bogdan Tanasa" <tanasa@gmail.com>
> Subject: Re: [Bioc-sig-seq] power calculations
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> Hi everyone,
>
> Is there any R package that could help me with some power calculations
> (i.e. given a particular experiment, how many sequence tags are needed
> to achieve saturation). Thank you very much,
>
> -- bogdan
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