find_significant_pcs
finds significant PC's given the eigenvalues.
find_significant_pcs(S, method = "outlier", n = NULL, d = NULL)
S | numeric vector with eigenvalues of covariance matrix, sorted in descending order. |
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method | optional string specifying method to estimate number of significant PCs |
n | optional integer specifying number of rows in the data matrix.
Default is |
d | optional integer specifying number of columns in the data matrix.
Default is |
number of significant PCs