Re: [R] Principal component analysis with EQUAMAX rotation

2014-07-07 Thread Wagner
That's what I was looking for, thank you very much! -- View this message in context: http://r.789695.n4.nabble.com/Principal-component-analysis-with-EQUAMAX-rotation-tp4692337p4693612.html Sent from the R help mailing list archive at Nabble.com. __ R

Re: [R] Principal component analysis with EQUAMAX rotation

2014-06-21 Thread William Revelle
Dear Orvalo Augusto, If you are using a PC, you need to get the zip file, not the tar.gz file. It is at http://personality-project.org/r/src/contrib/ For Macs it is an “other repository” (source option) at http://personality-project.org/r/ Bill On Jun 21, 2014, at 12:36 AM, Orvalho A

Re: [R] Principal component analysis with EQUAMAX rotation

2014-06-20 Thread Orvalho Augusto
Dear! I get this error when I try to install it on my linux PC: root@orvaquimcism:~# R CMD INSTALL /mnt/disco/downloads/R/psych_1.4.6.20.tar.gz Error in rawToChar(block[seq_len(ns)]) : embedded nul in string: '\037\x8b\b\0\0\0\0\0\0\003\xec\xbdk{\xe3Ƒ(\x9c\xaf\xc2\xf3\xf0?\xb4\xa9I\x86\x90 \x8a

Re: [R] Principal component analysis with EQUAMAX rotation

2014-06-20 Thread 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 repo

Re: [R] Principal component analysis with EQUAMAX rotation

2014-06-20 Thread 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 1.4.6 from the alternate repository http://personality-project.org

[R] Principal component analysis with EQUAMAX rotation

2014-06-19 Thread Wagner
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