Multivariate Outlier Detection Based on Robust Methods

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Documentation for package ‘mvoutlier’ version 2.1.1

• DESCRIPTION file.

Help Pages

aq.plot	Adjusted Quantile Plot
arw	Adaptive reweighted estimator for multivariate location and scatter
bhorizon	B-horizon of the Kola Data
bss.background	Background map for the BSS project
bssbot	Bottom Layer of the BSS Data
bsstop	Top Layer of the BSS Data
chisq.plot	Chi-Square Plot
chorizon	C-horizon of the Kola Data
color.plot	Color Plot
corr.plot	Correlation Plot: robust versus classical bivariate correlation
dat	Data of illustrative example in paper (see below)
dd.plot	Distance-Distance Plot
humus	Humus Layer (O-horizon) of the Kola Data
kola.background	Background map for the Kola project
locoutNeighbor	Diagnostic plot for identifying local outliers with varying size of neighborhood
locoutPercent	Diagnostic plot for identifying local outliers with fixed size of neighborhood
locoutSort	Interactive diagnostic plot for identifying local outliers
map.plot	Plot Multivariate Outliers in a Map
moss	Moss Layer of the Kola Data
mvoutlier.CoDa	Interpreting multivatiate outliers of CoDa
pbb	BSS background Plot
pcout	PCOut Method for Outlier Identification in High Dimensions
pkb	Kola background Plot
plot.mvoutlierCoDa	Plots for interpreting multivatiate outliers of CoDa
sign1	Sign Method for Outlier Identification in High Dimensions - Simple Version
sign2	Sign Method for Outlier Identification in High Dimensions - Sophisticated Version
symbol.plot	Symbol Plot
uni.plot	Univariate Presentation of Multivariate Outliers
X	Data (X coordinate) of illustrative example in paper (see below)
Y	Data (Y coordinate) of illustrative example in paper (see below)