Description Usage Arguments Value Examples
Shift of an observation following a selected pattern.
1 2 3 4 5 6 7 8 9 10 11 12 
X 
Matrix with observations that will be shifted as rows. 
pcaref 
List with the elements of a PCA model:

T2.y 
A number indicating the target value for the Hotelling's T^2_A after the shift.
Set to 
SPE.y 
A number indicating the target value for the Squared Prediction Error after the
shift. Set to 
nsteps 
A number indicating the number of steps between the reference and target
values of the SPE and the T^2. Set to 
nsteps.spe 
An integer indicating the number of steps in which the shift from
the reference to the target value of the SPE will be performed. Set to 
nsteps.t2 
An integer indicating the number of steps in which the shift from the
reference to the target value of the T^2_A will be performed. Set to 
gspe 
A number indicating the term that will tune the spacing between steps for the SPE.
Set to 
gt2 
A number indicating the term that will tune the spacing between steps for the SPE.
Set to 
mode 
A character indicating the type of shift that will be performed: 
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.
1 2 3 4 5 6 7 8  X < as.matrix(X)
pcamodel.ref < pcamb_classic(X, 3, 0.1, "autosc") # PCAMB with all observations
# Shift the first observation:
outscout < scout(X[1,], pcamodel.ref, T2.y = 40, SPE.y = 50, nsteps.spe = 3, nsteps.t2 = 2,
gspe = 3, gt2 = 0.5, mode = "grid")
# Shift a set of observations increasing only the T^2 in one step:
outscout < scout(X, pcamodel.ref, T2.y = matrix(40, nrow(X), 1), mode = "simple")

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