plot.epplabOutlier {REPPlab} | R Documentation |
Plot for an epplabOutlier Object
Description
Visualizes which observations are considered as outliers and how often for
an epplabOutlier
object.
Usage
## S3 method for class 'epplabOutlier'
plot(x, col = c("white", "black"), outlier = TRUE, xlab = "", ylab = "", ...)
Arguments
x |
Object of class |
col |
Which colors should be used for non-outliers and outliers. Default is white and black. |
outlier |
Logical if only observations considered as outliers at least
once should be plotted or all. Default is |
xlab |
Sets the x-axis label. |
ylab |
Sets the y-axis label. |
... |
Graphical parameters passed on to |
Author(s)
Daniel Fischer and Klaus Nordhausen
See Also
Examples
# creating data with 3 outliers
n <-300
p <- 10
X <- matrix(rnorm(n*p),ncol=p)
X[1,1] <- 9
X[2,4] <- 7
X[3,6] <- 8
# giving the data rownames, obs.1, obs.2 and obs.3 are the outliers.
rownames(X) <- paste("obs",1:n,sep=".")
PP<-EPPlab(X,PPalg="PSO",PPindex="KurtosisMax",n.simu=20, maxiter=20)
OUT<-EPPlabOutlier(PP, k = 3, location = median, scale = mad)
plot(OUT)
[Package REPPlab version 0.9.6 Index]