classify: Creates classification outcomes for given PCA result objects...

In mdatools: Multivariate Data Analysis for Chemometrics

Creates classification outcomes for given PCA result objects and distance parameters.

Description

Creates classification outcomes for given PCA result objects and distance parameters.

Usage

classify(
  pcares,
  indices,
  numbers,
  qp,
  hp,
  nobj.cal,
  alpha = 0.05,
  gamma = 0.01,
  classname,
  c.ref = NULL
)

Arguments

pcares	object of class pcares.
indices	list with indices of members, strangers, and unknown samples as well as information about excluded objects.
numbers	list with numbers of members, strangers, unknown and excluded samples.
qp	distribution parameters for q-distances.
hp	distribution parameters for h-distances.
nobj.cal	number of objects in calibration set the model was built on (needed for outliers detection).
alpha	significance level for decision boundary.
gamma	significance level for outlier detection boundary,
classname	name of the target class.
c.ref	vector with names of the reference classes.

Value

a list with classification outcomes for each number of components.

mdatools documentation built on March 6, 2026, 5:08 p.m.