qualData

<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>
This simulated data <code>qualData</code> can be used to calculate the
qualitative performance such as sensitivity and specificity.

datasets

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

qualData function

A qualData data set contains 200 observations and 3 variables.<dl>
<dt>Sample</dt>
<dd>Sample id</dd><dt>ComparativeN</dt>
<dd>Measurements from comparative analyzer with <code>1=positive</code> and <code>0=negative</code></dd><dt>CandidateN</dt>
<dd>Measurements from candidate analyzer with <code>1=positive</code> and <code>0=negative</code></dd>
</dl>

Format

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
This simulated data <code>qualData</code> can be used to calculate the
qualitative performance such as sensitivity and specificity.

Simulated Qualitative Data — qualData

A qualData data set contains 200 observations and 3 variables.<dl>
<dt>Sample</dt>
<dd>Sample id</dd>

<dt>ComparativeN</dt>
<dd>Measurements from comparative analyzer with <code>1=positive</code> and <code>0=negative</code></dd>

<dt>CandidateN</dt>
<dd>Measurements from candidate analyzer with <code>1=positive</code> and <code>0=negative</code></dd>


</dl>

qualData: Simulated Qualitative Data

Description

Usage

Arguments

Format

See Also