h_summarize

<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 summarizes the statistics as needed.

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

h_summarize function

<dl><dt>x</dt>
<dd>(<code>numeric</code>) input numeric vector.</dd>
<dt>conf.level</dt>
<dd>(<code>numeric</code>) significance level, default is 0.95.</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 summarizes the statistics as needed.

Summarize Basic Statistics — h_summarize

<dl>

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


<dt>conf.level</dt>
<dd>(<code>numeric</code>) significance level, default is 0.95.</dd>

</dl>

h_summarize: Summarize Basic Statistics

Description

Usage

Value

Arguments

Examples