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observed power

5 messages · Mark M. Span, Peter Dalgaard, Daniel A. Powers +2 more

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Is there a way to obtain the observed power of an aov()?

I perform an aov with one between and one within factor, and would like to
know the observed power of the tests, both for the main effect and the
interaction. I found the package 'hpower', but sense there is a more
convenient possibility. Is there?

thanks

Mark M. Span

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"Mark M. Span" <span at psy.uva.nl> writes:
What's "observed power"? If you mean the item that SPSS has by that
name, I think you first have to convince us that that is a sensible
thing to calculate...
3 days later
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I am missing the Rcmd command needed for installing packages in R. Does
anyone know where I can get this? It is not in the usual place with the
other R binaries.  If there is another way to install packages in windows,
please let me know. This went seamlessly on my Linux and Unix builds.
Thanks,
Dan

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Dan Powers
Associate Professor, Sociology  
University of Texas at Austin                    



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On Mon, 29 Jan 2001, Daniel A. Powers wrote:

            
You need it to build packages from souces, and it *is* in the zip file
for building packages from source, together with everything else you need
from R and instructions.

It is *not* needed to install binary packages.
Try reading the ReadMe in the directory you go the other parts from:

The distribution consists of several zip files:

rw1021b1.zip and rw1021b2.zip           the base system
rw1021h.zip                             text help
rw1021ch.zip                            compiled HTML help
rw1021w.zip                             HTML help files
rw1021wh.zip                            Standard Windows help files
rw1021l.zip                             latex help for offline help
rw1021d1.zip                            PDF manuals except
rw1021d2.zip                            PDF version of the reference manual
rw1021sp.zip                            files to install from source packages
#
"Daniel A. Powers" wrote:
It is in R's /bin directory, if you have got a recent version (e.g.
R-1.2.1).
Yes.  Rinst.exe is the recommended R installer for binary packages.
More details in the FAQs.

Uwe Ligges
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