Hi there,
I've been using FactoMineR to run PCA. I tried other packages but due to the nature of my data, this is the most suitable.
I have done PCA in Stata and the individual scores (loadings?) are what I normally used for my consecutive analysis. When doing PCA in R, these parameters are generated: coord, contrib, or cos2... can I use one of these parameters as my loading? or is there an additional step that needs to be done?
In Stata, after generating the eigenvalues and defining the number of PCAs to be retained, I had to rotate the PCAs and then predict the loadings. Then, a numeric value was generated with the name of the predicted scores. I don't know if what FactoMineR has generated (coord, contrib, or cos2) is equivalent to the predicted scores generated in Stata and also if a rotation (or anything else) should be done to these (coord, contrib, or cos2) to generate my predicted scores.
Hope you can help me solve this!
Kind regards,
B