Computes the leverage of each observation, in the PC score matrix (U). Optionally can identify the outliers.
out_measures.leverage(U, median_cutoff = NA)| U | An n x Q matrix of PC scores. |
|---|---|
| median_cutoff | The outlier cutoff, in multiples of the median leverage.
Default: |
A list with entries "meas" (the leverage values),
"cut" (the leverage cutoff value) and
"flag" (logical vector indicating the outliers). If
!is.null(median_cutoff), all entries except "meas" are omitted.