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Today’s task is to compute a statistical power function in R. For a good definition of power, go here. Thinking about the power of a testing procedure is an often-overlooked aspect of hypothesis testing.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I also explain what power (in a statistical sense) is in the video, as well as use my shadenorm() function to show what power looks like on the classical hypothesis testing graph. Along the way, I demonstrate how writing a function can make your life easier. Here’s the video:
< embed src="https://www.youtube.com/v/J-F54ESEmLA?hl=en&fs=1" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="425" height="344">
Here is the script file I walk through in the video (copy into notepad for a better view):
My script file uses a new version of my shadenorm() command that is a little easier to use (only change: now, there are no justbelow or justabove arguments. If you just specify below, that’s justbelow=TRUE…).
This is available here:
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