plot.outliers: Plot outliers

In odetector: Outlier Detection Using Partitioning Clustering Algorithms

Plot outliers

Description

Plots the outliers found in a data set.

Usage

## S3 method for class 'outliers'
plot(x, ot=1, ...)

Arguments

x	an object of outliers class containing the outliers to be plotted.
ot	an integer ranges [1,4] representing the outlier detection approach.
...	additional arguments for S3 method plot.

Value

plots of the object of outliers class.

Author(s)

Zeynel Cebeci, Cagatay Cebeci, Yalcin Tahtali

See Also

detect.outliers, pairs.outliers, print.outliers, remove.outliers, summary.outliers

Examples

# Load the dataset x3p4c and extract the first three columns to x
data(x3p4c)
x <- x3p4c[,1:3]

# For 4 clusters, run Unsupervised Possibilistic Fuzzy C-Means (UPFC) algorithm
# of the package ppclust 
res.upfc <- ppclust::upfc(x, centers=4)

# Detect the outliers 
outs <- detect.outliers(res.upfc)
 
# Plot the outliers
plot(outs, ot=1)

odetector documentation built on Nov. 10, 2022, 5:45 p.m.