pca_outliers: PCA Outlier Diagnostics
In bbuchsbaum/multivarious: Extensible Data Structures for Multivariate Analysis

pca_outliers

R Documentation

PCA Outlier Diagnostics

Calculates Hotelling T^2 (score distance) and Q-residual (orthogonal distance) for each observation, given a chosen number of components.

pca_outliers(x, X, ncomp, cutoff = FALSE)

`x`	A `pca` object.
`X`	The original data matrix used for PCA.
`ncomp`	Number of components to consider.
`cutoff`	Logical or numeric specifying threshold for labeling outliers. If `TRUE`, uses some typical statistical threshold (F-dist) for T^2, or sets an arbitrary Q limit. If numeric, treat it as a cutoff. Default is `FALSE` (no labeling).