detectOutliers: detectOutliers

In TaylorAndrew/atExplore: Methods for Exploring Data

Description

detectOutliers return values of x that are outliers.

Usage

detectOutliers(x, method = "SD", SDs = 3.5)

Arguments

x	vector of values
method	how to detect outliers: 'SD', 'Chi', 'Dixon', 'Grubbs', 'Biggest'
SDs	if method='SD', then how many standard deviations from the mean will be considered an outlier boundary

Value

A vector of outliers from x

Examples

#fakeData <- data.frame(x = rnorm(4, 4, 20))
#detectOutliers(x = fakeData$x)

TaylorAndrew/atExplore documentation built on May 9, 2019, 4:22 p.m.