Description Usage Details Value Author(s) References See Also Examples
This method calculates the optimal number of rooted Eigenvalues (of the singular value decomposition) to be kept in the MPIA factor reduction in such a way that 80% of the total amount of stretch is achieved. The total amount of stretch expands the Eigenvectors to match the mapping defined by the original ('raw') document-term matrix.
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This method provides a mathematically grounded way to predict the optimal number of dimensions to keep in the truncation of the truncated singular value decomposition.
Returns a function accepting the rooted Eigenvalues as parameter s.
Fridolin Wild <wild@brookes.ac.uk>
Fridolin Wild (2016): Learning Analytics in R with SNA, LSA, and MPIA, Springer:Berlin.
1 | dimcalc_var()(c(5,4,3,2,1))
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