plot.icsOut: Distances Plot for an icsOut Object

Description Usage Arguments Details Author(s) See Also Examples

Description

Distances plot for an icsOut object visualizing the separation of the outliers from the good data points.

Usage

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## S4 method for signature 'icsOut,missing'
plot(x, pch.out = 16, pch.good = 4, col.out = 1, col.good = grey(0.5), 
     col.cut = 1, lwd.cut = 1, lty.cut = 1, xlab = "Observation Number", 
     ylab = "ICS distances", ...)

Arguments

x

object of class icsOut.

pch.out

ploting symbol for the outliers.

pch.good

plotting symbol for the ‘good’ data points.

col.out

color for the outliers.

col.good

color for the ‘good’ data points.

col.cut

color for cut-off line.

lwd.cut

lwd value for cut-off line.

lty.cut

lty value for cut-off line.

xlab

default x-axis label.

ylab

default y-axis label.

...

other arguments for plot

Details

For the figure the IC distances are plotted versus their index. The cut-off value for distances is given as a horizontal line and all observations above the line are considered as outliers.

Author(s)

Aurore Archimbaud and Klaus Nordhausen

See Also

icsOut-class and ics.outlier

Examples

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    Z <- rmvnorm(1000, rep(0, 6))
    Z[1:20, 1] <- Z[1:20, 1] + 10
    A <- matrix(rnorm(36), ncol = 6)
    X <- tcrossprod(Z, A)
    icsX <- ics2(X)
    # For demonstation purposes mDist is small, should be larger for real data analysis
    icsXoutliers <- ics.outlier(icsX, mDist = 500)
    plot(icsXoutliers, col.out = 2)

ICSOutlier documentation built on May 1, 2019, 7:30 p.m.