categorize.pca {mdatools} | R Documentation |
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".
## S3 method for class 'pca'
categorize(obj, res = obj$res$cal, ncomp = obj$ncomp.selected, ...)
obj |
object with PCA model |
res |
object with PCA results |
ncomp |
number of components to use for the categorization |
... |
other parameters |
The method does not categorize hidden values if any.
vector (factor) with results of categorization.