display_HDoutliers: Display outliers with a scatterplot

In pridiltal/stray: Anomaly Detection in High Dimensional and Temporal Data

Display outliers with a scatterplot

Description

Provide a 2D scatterplot of data for visual exploration. For data with more than two dimensions, two dimensional scatterplot is produced using the first two pricipal components.

Usage

display_HDoutliers(data, out)

Arguments

data	A vector, matrix, or data frame consisting of numerical variables.
out	A list containing output values produced by find_HDoutliers

Value

A ggplot object of data space with detected outliers (if any).

Examples

data <- c(rnorm(100), 7, 7.5, rnorm(100, 20), 45)
output <- find_HDoutliers(data, knnsearchtype = "kd_tree")
display_HDoutliers(data, out = output)


data <- rbind(matrix(rnorm(96), ncol = 2), c(10,12),c(3,7))
output <- find_HDoutliers(data, knnsearchtype = "brute")
display_HDoutliers(data, out = output)


data <- rbind(matrix(rnorm(144), ncol = 3), c(10,12,10),c(3,7,10))
output <- find_HDoutliers(data, knnsearchtype = "brute")
display_HDoutliers(data, out = output)

pridiltal/stray documentation built on Nov. 24, 2023, 1:31 p.m.