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The hardest part of a centroid extraction in R is dealing with the sign vector used to maximize positive manifold before each factor is extracted. This function implements a new algorithm from the IFI-Zurich report in references list. This will not be a function called by the user, but will be wrapped in the centroid extraction function.
The function committed last time is renamed and debugged, and supplemented by all other necessary functions. Given an input matrix X (correlation matrix), "results <- qcf(X)" will return centroid FA results. At this stage it has been tested on three datasets and seems to give the same results as other standards. More testing needed.
maxheld83
added this to the
1.5.0 Centroid Rotation and More "Old School" Q-Methodology milestone
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Since this is a new function, it needs a help file (.../man/centroid.Rd) and has to follow other standard R package instructions: extension *.R, changes in namespace, etc. Otherwise it won't pass the checks to be built as an R package (and people won't know how to use it either, e.g. which are the arguments to pass to this function?). |
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aiorazabala
modified the milestones:
Centroid Rotation and More "Old School" Q-Methodology,
1.6.0
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try something like...
ldata <- import.pqmethod("lipset.dat")
lcor <- cor(ldata)
results <- qcf(lcor)
results