categorize.pca: Categorize PCA results based on orthogonal and score...

In mdatools: Multivariate Data Analysis for Chemometrics

Categorize PCA results based on orthogonal and score distances.

Description

The method compares score and orthogonal distances of PCA results from res with critical limits computed for the PCA model and categorizes the corresponding objects as "regular", "extreme" or "outlier".

Usage

## S3 method for class 'pca'
categorize(obj, res = obj$res$cal, ncomp = obj$ncomp.selected, ...)

Arguments

obj	object with PCA model
res	object with PCA results
ncomp	number of components to use for the categorization
...	other parameters

Details

The method does not categorize hidden values if any.

Value

vector (factor) with results of categorization.

mdatools documentation built on Sept. 11, 2024, 7:59 p.m.