iqrOutlier: Identify outliers according to the IQR criterion

In userfriendlyscience: Quantitative Analysis Made Accessible

Description

The IQR criterion holds that any value lower than one-and-a-half times the interquartile range below the first quartile, or higher than one-and-a-half times the interquartile range above the third quartile, is an outlier. This function returns a logical vector that identifies those outliers.

Usage

iqrOutlier(x)

Arguments

x	The vector to scan for outliers.

Value

A logical vector where TRUE identifies outliers.

Author(s)

Gjalt-Jorn Peters

Maintainer: Gjalt-Jorn Peters <[e-mail]>

See Also

IQR

Examples

### One outlier in the miles per gallon
iqrOutlier(mtcars$mpg);

Example output

sh: 1: cannot create /dev/null: Permission denied
 [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
[13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
[25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE

userfriendlyscience documentation built on May 2, 2019, 1:09 p.m.