scoutsimple: scoutsimple

In SCOUTer: Simulate Controlled Outliers

Description

Shift of an array with a single step.

Usage

scoutsimple(X, pcaref, T2.target = NA, SPE.target = NA)

Arguments

X	Matrix with observations that will be shifted as rows.
pcaref	List with the elements of a PCA model: m: mean. s: standard deviation. prepro: preprocessing: "none", "cent" or "autosc". P: loading matrix. lambda: vector with variances of each PC.
T2.target	A number indicating the target value for the T^2_A after the shift. Set to NA by default.
SPE.target	A number indicating the target value for the SPE after the shift. Set to NA by default.

Value

list with elements:

• X: matrix with the new and shifted data.

• SPE: SPE of each one of the generated outliers in the list element X.

• T2: T^2 of each one of the generated outliers in the list element X.

• step.spe: step of each observation according to the shift of the SPE.

• step.t2: step of each observation according to the shift of the T^2.

• tag: is a vector of ones as long as the number of generated observations.

Examples

X <- as.matrix(X)
pcamodel.ref <- pcamb_classic(X, 3, 0.1, "autosc") # PCA-MB with all observations
# Shift a set of observations increasing only the T^2 in one step:
outsimple <- scoutsimple(X, pcamodel.ref, T2.target = matrix(40, nrow(X), 1))

SCOUTer documentation built on July 1, 2020, 6:27 p.m.