weightedLocOut: Weighted Outlyingness

In tortnertuwien/lop: Local Projection Based Data Analysis

Description

Calculates the weighted oulyingness based on orthogonal weighted by inverse core distances.

Usage

weightedLocOut(LocOut)

Arguments

lo	Object calculated by getLocOut. Must be a list, including od and cd, two matrices of orthogonal and score distances for each observation (rows) and each projection (columns).

Value

A univariate measure for outlyingness of each observation

Author(s)

Thomas Ortner ([e-mail])

Examples

library(lop)
LocOut <- getLocOut(glass$data, k=20, alpha=0.5)
w <- weightedLocOut(LocOut)
plot(w, col=glass$group)


#Note that group one, even though considered as a consistant
#group in the original publication, holds additional structure,
#identified as outliers. For more details on the data set see
#Lemberge, P., De Raedt, I., Janssens, K. H., Wei, F., and
#Van Espen, P. J. (2000). Quantitative analysis of 16–17th
#century archaeological glass vessels using pls regression of
#epxma and μ-xrf data. Journal of Chemometrics, 14(5-6):751–763.

tortnertuwien/lop documentation built on May 30, 2019, 8:27 a.m.