platelet

<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 example <code>platelet</code> can be used to create a data set comparing
Platelet results from two analyzers in cells.

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

platelet function

A platelet data set contains 120 observations and 3 variables.<dl>
<dt>Sample</dt>
<dd>Sample id</dd><dt>Comparative</dt>
<dd>Measurements from comparative analyzer</dd><dt>Candidate</dt>
<dd>Measurements from candidate analyzer</dd>
</dl>

Format

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
This example <code>platelet</code> can be used to create a data set comparing
Platelet results from two analyzers in cells.

Quantitative Measurement Data — platelet

A platelet data set contains 120 observations and 3 variables.<dl>
<dt>Sample</dt>
<dd>Sample id</dd>

<dt>Comparative</dt>
<dd>Measurements from comparative analyzer</dd>

<dt>Candidate</dt>
<dd>Measurements from candidate analyzer</dd>


</dl>

platelet: Quantitative Measurement Data

Description

Usage

Arguments

Format

See Also