R help - Jul 2009 - Comprehensive power analysis/sample size package in R?

Dear all,
my colleague (a statistician - not yet using R) aked me, if there is
a R package comparable to the software "PASS" (Power Analysis and  
Sample Size Procedures), comprising about 150 procedures.
I found the R package "pwr". Are there other (more comprehensive)  
power analysis packages?


Many thanks!
Udo

I don't know of a single package that is comparable to PASS, but the R
system itself is the most comprehensive tool available for power and sample size
computations.

For the simple cases you already found the pwr package, there are also some
power functions in the stats package and in some other packages and these will
be comparable to the equivalent (or possibly better) than the simple ones in
PASS.

When things get a bit more complicated then there are a few different options
for what to do next:

1. Don't provide anything for the more complicated cases.
2. Provide a minimal set of routines for more complicated cases based on
programmer assumptions rather than information from someone familiar with the
source of the data (assumptions often hidden).
3. Provide many different routines encompassing every alternative set of
assumptions that the programmer can think of forcing the user to sort through
all the options to find the one that is closest (and maybe the same) as what
they want to do.
4  Provide a full programming language so that the people familiar with the
question(s) of interest and the source of the data can explicitly spell out the
desired analysis and assumptions.
5. possible others, but I can't think of any.

It looks like PASS uses option 3, giving many different routines that any one
user in only likely to use a few of.

R is option 4.  You can decide what assumptions you want to make about the data
(and later change any of those assumptions), decide how you plan to analyze the
data, then by simulation you can work out the power/sample size/etc. knowing
exactly what assumptions went into the analysis.

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111

> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of ukoenig at med.uni-marburg.de
> Sent: Tuesday, July 14, 2009 1:05 PM
> To: r-help at r-project.org
> Subject: [R] Comprehensive power analysis/sample size package in R?
> 
> Dear all,
> my colleague (a statistician - not yet using R) aked me, if there is
> a R package comparable to the software "PASS" (Power Analysis and
> Sample Size Procedures), comprising about 150 procedures.
> I found the R package "pwr". Are there other (more comprehensive)
> power analysis packages?
> 
> 
> Many thanks!
> Udo
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.

It's not R nor is it open source, but G*Power 3 is free:

http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3/

Apparently the new version (for Windows -- Mac version is lagging)
includes Poisson and logistic regression.




On Tue, Jul 14, 2009 at 3:04 PM, <ukoenig at med.uni-marburg.de>
wrote:
> Dear all,
> my colleague (a statistician - not yet using R) aked me, if there is
> a R package comparable to the software "PASS" (Power Analysis and
Sample
> Size Procedures), comprising about 150 procedures.
> I found the R package "pwr". Are there other (more comprehensive)
power
> analysis packages?
>
>
> Many thanks!
> Udo
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>