setDistanceLimits.pca {mdatools} | R Documentation |
Computes statisticsl limits for orthogonal and score distances (based on calibration set) and assign the calculated values as model properties.
## S3 method for class 'pca' setDistanceLimits( obj, lim.type = obj$lim.type, alpha = obj$alpha, gamma = obj$gamma, ... )
obj |
object with PCA model |
lim.type |
type of limits ("jm", "chisq", "ddmoments", "ddrobust") |
alpha |
significance level for detection of extreme objects |
gamma |
significance level for detection of outliers (for data driven approach) |
... |
other arguments |
The limits can be accessed as fields of model objects: $Qlim
and $T2lim
. Each
is a matrix with four rows and ncomp
columns. First row contains critical limits for
extremes, second row - for outliers, third row contains mean value for corresponding distance
(or its robust estimate in case of lim.type = "ddrobust"
) and last row contains the
degrees of freedom.
Object models with the two fields updated.