iqrOutlier

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.

univariate

This is a new version of the 'userfriendlyscience' package,
which has grown a bit unwieldy. Therefore, distinct functionalities
are being 'consciously uncoupled' into different packages. This package
contains the general-purpose tools and utilities (see the
'behaviorchange' package, the 'rosetta' package, and the
soon-to-be-released 'scd' package for other functionality), and
is the most direct 'successor' of the original 'userfriendlyscience' package.
For example, this package contains a number of basic functions to create
higher level plots, such as diamond plots, to easily plot sampling
distributions, to generate confidence intervals, to plan study sample sizes
for confidence intervals, and to do some basic operations such as
(dis)attenuate effect size estimates.

Gjalt-Jorn Peters

A Collection of Utilities

iqrOutlier function

<dl><dt>x</dt>
<dd>The vector to scan for outliers.</dd></dl>

Arguments

Gjalt-Jorn Peters
Maintainer: Gjalt-Jorn Peters <a href="/link/gjalt-jorn%40userfriendlyscience.com?package=ufs&version=0.5.12" data-mini-rdoc="ufs::gjalt-jorn@userfriendlyscience.com">gjalt-jorn@userfriendlyscience.com</a>

Author

Identify outliers according to the IQR criterion — iqrOutlier

<dl>

<dt>x</dt>
<dd>The vector to scan for outliers.</dd>

</dl>

Gjalt-Jorn Peters
Maintainer: Gjalt-Jorn Peters <a href='mailto:gjalt-jorn@userfriendlyscience.com'>gjalt-jorn@userfriendlyscience.com</a>

iqrOutlier: Identify outliers according to the IQR criterion

Description

Usage

Value

Arguments

Author

See Also

Examples