Abstract
APL functions to support principal components analysis are presented: a general-purpose function to obtain eigen values and eigen vectors, a more specialized function to convert these into the results commonly given by principal components analysis, and a user interface function that accesses filed data, offers flexibility in data selection, and produces labeled output. A brief introduction to the logic and uses of principal components analysis is included. General-purpose support functions to simplify file use and to increase the range of options available to the user are also provided.
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Evans, S., Neideffer, J.D. & Gage, F.H. APL functions for interactive data analysis: Principal components analysis. Behavior Research Methods & Instrumentation 13, 657–666 (1981). https://doi.org/10.3758/BF03202083
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DOI: https://doi.org/10.3758/BF03202083