find_outliers

Identifies statistical outliers in a numeric variable using the Interquartile
Range (IQR) method. Provides detailed diagnostics about the outlier detection
process.

Support package for the textbook "An Introduction to
Quantitative Text Analysis for Linguists: Reproducible Research Using
R" (Francom, 2024) <doi:10.4324/9781003393764>. Includes functions to
acquire, clean, and analyze text data as well as functions to document
and share the results of text analysis. The package is designed to be
used in conjunction with the book, but can also be used as a standalone
package for text analysis.

Jerid Francom

qtkit

Quantitative Text Kit

find_outliers function

<dl><dt>data</dt>
<dd>Data frame containing the variable to analyze.</dd>
<dt>variable_name</dt>
<dd>Unquoted name of the numeric variable to check for
outliers.</dd>
<dt>verbose</dt>
<dd>Logical. If TRUE, prints diagnostic information about
quartiles, fences, and number of outliers found. Default is TRUE.</dd></dl>

Arguments

<ul>
<li>Variable name</li>
<li>Q1 and Q3 values</li>
<li>IQR value</li>
<li>Upper and lower fence values</li>
<li>Number of outliers found</li>
</ul>

Diagnostic Output

Detect Statistical Outliers Using IQR Method — find_outliers

<dl>

<dt>data</dt>
<dd>Data frame containing the variable to analyze.</dd>


<dt>variable_name</dt>
<dd>Unquoted name of the numeric variable to check for
outliers.</dd>


<dt>verbose</dt>
<dd>Logical. If TRUE, prints diagnostic information about
quartiles, fences, and number of outliers found. Default is TRUE.</dd>

</dl>

<ul>
<li>Variable name</li>
<li>Q1 and Q3 values</li>
<li>IQR value</li>
<li>Upper and lower fence values</li>
<li>Number of outliers found</li>
</ul>

find_outliers: Detect Statistical Outliers Using IQR Method

Description

Usage

Value

Arguments

Diagnostic Output

Details

Examples