[R] Principal component analysis with EQUAMAX rotation

[William Revelle]

Dear Wagner,
  I added the equamax rotation option to the psych package in version 1.4.6.  This was requested by Sagnik Chakravarty, with a solution by Gunter Nickel.

Unfortunately, the version on CRAN  is 1.4.5, but you can get the working prerelease of 1.4.6 (1.4.6.20)  from the alternate repository  http://personality-project.org/r/  (if using a Mac) or  http://personality-project.org/r/src/contrib/   if using a PC.

Thus,

 p3e <- principal(Thurstone,3,rotate="equamax")  #will extract the first three components and rotate them using equamax.
 p3n <- principal(Thurstone,3,rotate="none")   #will give you the unrotated 3 component solution
 p3v <- principal(Thurstone,3,rotate="varimax") #for the varimax solution
 
 factor.congruence(list(p3e,p3n,p3v))  #compares the Burt/Tucker congruence coefficients for these three solutions


Let me know if this does what you want.

Bill


On Jun 19, 2014, at 2:07 AM, Wagner <wagner.fab at gmx.de> wrote:

> Hello,
> I need to do a principal component analysis with EQUAMAX-rotation.
> Unfortunately the function principal() I use normally for PCA does not offer
> this rotation specification. I could find out that this might be possible
> somehow with the package GPArotation but until now I could not figure out
> how to use this in the principal component analysis.
> Maybe someone can give an example on how to do an equamax-rotation PCA?
> Or is there a function in another package that offers the use of
> equamax-rotation directly?
> Thank you for your help!
> 
> 
> 
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William Revelle		           http://personality-project.org/revelle.html
Professor			           http://personality-project.org
Department of Psychology   http://www.wcas.northwestern.edu/psych/
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