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") # PCA-MB 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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