is_outlier: Identify outliers

In jonathandash/wafR: Tools to help Margules Groome team with data processing, modelling, and graphing

Identify outliers

Description

Function that identifies whether observations are outliers.

Usage

is_outlier(x, type = "both", outlier_range = 1.5)

Arguments

x	The variable of interest
type	Choose whether to identify 'high', 'low', or 'both' types of outliers. Default is 'both'.
outlier_range	The number of times outside the IQR that an observation is deemed to be an outlier. Default = 1.5.

Examples

x <- rnorm(n = 1000, mean = 100) # Create a normally distributed dataset

is_outlier(x) # Find outliers

boxplot(x) # Plot x to visualise the outliers

jonathandash/wafR documentation built on March 27, 2022, 11:47 a.m.