Description Usage Arguments Value Examples
Shift of an array following a step-wise pattern.
1 2 3 4 5 6 7 8 9 | scoutsteps(
X,
pcaref,
T2.target = NA,
SPE.target = NA,
nsteps = 1,
gspe = 1,
gt2 = 1
)
|
X |
Matrix with observations that will be shifted as rows. |
pcaref |
List with the elements of a PCA model:
|
T2.target |
A number indicating the target value for the Hotelling's T^2_A after the shift.
Set to |
SPE.target |
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 |
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 |
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 a set of observations increasing the T^2 and the SPE in 4 linear steps:
outsteps <- scoutsteps(X, pcamodel.ref, T2.target = matrix(40, nrow(X), 1),
SPE.target = matrix(50, nrow(X), 1), nsteps = 4)
# Shift a set of observations increasing the SPE in 4 non-linear steps:
outsteps <- scoutsteps(X, pcamodel.ref, SPE.target = matrix(50, nrow(X), 1), nsteps = 4,
gspe = 0.3)
|
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