dixon_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 Dixon method, following the
rules of EP28A3 and NMPA guideline for establishment of reference range.

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

dixon_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 Dixon method, following the
rules of EP28A3 and NMPA guideline for establishment of reference range.

Detect Dixon Outlier — dixon_outlier

<dl>

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

</dl>

dixon_outlier: Detect Dixon Outlier

Description

Usage

Value

Arguments

Examples