tukey_outlier

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=mcradds&version=1.1.1" alt="[Experimental]"></a>
Help function detects the potential outlier with Tukey method where the number
is below <code>Q1-1.5*IQR</code> and above <code>Q3+1.5*IQR</code>.

Provides methods and functions to analyze the quantitative or
qualitative performance for diagnostic assays, and outliers detection,
reader precision and reference range are discussed. Most of the methods
and algorithms refer to CLSI (Clinical & Laboratory Standards Institute)
recommendations and NMPA (National Medical Products Administration)
guidelines. In additional, relevant plots are constructed by 'ggplot2'.

Kai Gu

mcradds

Processing and Analyzing of Diagnostics Trials

tukey_outlier function

<dl><dt>x</dt>
<dd>(<code>numeric</code>) numeric input</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
Help function detects the potential outlier with Tukey method where the number
is below <code>Q1-1.5*IQR</code> and above <code>Q3+1.5*IQR</code>.

Detect Tukey Outlier — tukey_outlier

<dl>

<dt>x</dt>
<dd>(<code>numeric</code>) numeric input</dd>

</dl>

tukey_outlier: Detect Tukey Outlier

Description

Usage

Value

Arguments

Examples