Hi:
One answer comes from the pwr.r.test() function in package pwr (read its
code to see how it calculates power):
pwr.r.test(n = 100, r = 0.2, sig.level = 0.05, alternative = 'two.sided')
approximate correlation power calculation (arctangh transformation)
n = 100
r = 0.2
sig.level = 0.05
power = 0.5142056
alternative = two.sided
If you're looking for the power function, that's another matter entirely :)
HTH,
Dennis
On Mon, Oct 18, 2010 at 11:48 PM, Jumlong Vongprasert <
[email protected]> wrote:
> Dear All
> I want to calculate power of test. I want to test H0: Rho = 0 VS H1: Rho
> != 0.
> Assume, I have r=0.2 and sample size = 100.
> How I can do this.
> Many Thanks
> Jumlong
>
> --
> Jumlong Vongprasert Assist, Prof.
> Institute of Research and Development
> Ubon Ratchathani Rajabhat University
> Ubon Ratchathani
> THAILAND
> 34000
>
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>
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