For other than the basic situations I generally use simulation to
estimate power. Follow these basics steps:
Write a function that takes as input the things that you may want to
change in estimating power (sample size, effect size, standard
deviations, ...). Inside the function generate random d
On Tue, 23 May 2006, Christopher Brown wrote:
> How can I compute a power analysis on a multi-factor within-subjects
> design?
If you are capable of installing source packages and if you know what a
general linear hypothesis test is, you can:
download 'hpower' to your computer
http://g
On Wed, 2006-05-24 at 09:22 -0700, Charles C. Berry wrote:
> On Tue, 23 May 2006, Christopher Brown wrote:
>
> > How can I compute a power analysis on a multi-factor within-subjects
> > design?
>
> If you are capable of installing source packages and if you know what a
> general linear hypothesi
On Wed, May 24, 2006 20:22, Rick Bilonick wrote:
>
> Downloading, unzipping the package on to FC4 running R 2.3.0 gives an
> error message about a bad description file when trying to install
> hpower.
>
>> R CMD INSTALL hpower
>
Indeed, it does so on both my Ubuntu and Win XP boxes. The problem i
