William,
I had a problem similar to Wolfgang and I solved it through your help.
Many thanks!
Just an observation which sounded strange to me ( I am not a statistician,
just a wildlife biologist)
I have noticed that running the pca using principal with raw data (and
therefore using scores=TRUE i
Wolfgang,
Since you seem to be doing this in the psych package, it would have been faster
to directly ask the author (me). Luckily, I saw the question on R-Help.
The principal components step is being done on the correlation matrix, not on
the raw data matrix, thus, it is not able to find s
Haj
i try to perform a principal component analysis by using a tetrachoric
correlation matrix as data input
tetra <- tetrachoric (image_na, correct=TRUE)
t_matrix <- tetra$rho
pca.tetra <- principal(t_matrix, nfactors = 10, n.obs = nrow(image_na),
rotate="varimax", scores=TRUE)
the problem i hav
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