detect_outliers

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=wrappedtools&version=0.9.7" alt="[Experimental]"></a>
<code>detect_outliers</code> computes IQR and finds outliers. It gives the same results as <code>geom_boxplot</code> and thus differs slightly from <code>boxplot.stats</code>.

The main functionalities of 'wrappedtools' are:
adding backticks to variable names; rounding to desired precision
with special case for p-values;
selecting columns based on pattern and storing their position, name,
and backticked name; computing and formatting of descriptive statistics
(e.g. mean±SD), comparing groups and creating publication-ready tables with
descriptive statistics and p-values; creating specialized plots for
correlation matrices. Functions were mainly written for my own daily work or
teaching, but may be of use to others as well.

Andreas Busjahn

wrappedtools

Useful Wrappers Around Commonly Used Functions

Franziska Eidloth

Bilal Asser

detect_outliers function

<dl><dt>x</dt>
<dd>numeric vector.</dd>
<dt>coef</dt>
<dd>coefficient for boxplot.stats, defaults to 1.5.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
<code>detect_outliers</code> computes IQR and finds outliers. It gives the same results as <code>geom_boxplot</code> and thus differs slightly from <code>boxplot.stats</code>.

Find outliers based on IQR — detect_outliers

<dl>

<dt>x</dt>
<dd>numeric vector.</dd>


<dt>coef</dt>
<dd>coefficient for boxplot.stats, defaults to 1.5.</dd>

</dl>

detect_outliers: Find outliers based on IQR

Description

Usage

Value

Arguments

Examples