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I'm afraid I'm at a loss at discerning which element of the FactoMineR::PCA() output represents loadings and scores (sensu princomp, prcomp...). Any tips? |
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The authors of the package have replied and inform me that:
FWIW... |
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As I read you, you are working on problems dealing with principal components analysis (PCA) and would like to know how to get the FactoMineR package to return loadings and scores like princomp does. Unfortunately, I do not know the answer, but the FactoMineR team seems to have some good references and tutorials, and if these do not help you can always contact someone in the FactoMineR team. I swear I didn't see the FAQ section that talks about how to obtain scores and loadings (was it there a week ago?): http://factominer.free.fr/faq/index.html
(Jul 23 '10 at 16:16)
Roman Luštrik
I didn't see it either. I think that they took your question as a prompt to update the FAQ. In any case, I'm glad it worked out.
(Jul 23 '10 at 17:28)
John L Taylor
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or if you really only want scores and loadings instead of rotations (factors), you could look into the pcaMethods package, which makes all of this trivially easy and implements NIPALS in C++ to boot (no more screwing around with imputation prior to doing an SVD). Just FYI. I'm comparing different PCA functions, so it would be desirable if I could get this to produce the output I'm interested in. I've searched the documentation but found nothing, so I've, per John's advice, contacted the author and see what he has to say. I will let you know if I get a reply.
(Jul 14 '10 at 02:25)
Roman Luštrik
Tim, on a side note, isn't rotating a PCA (to get factors) in essence Factor Analysis?
(Jul 14 '10 at 02:26)
Roman Luštrik
re: rotations: yes.
(Jul 14 '10 at 02:36)
Tim
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