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. |
|---|---|
| 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