nonparRanks

<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 data shows the rank number for computing the confidence interval of
nonparametric reference limit when the samples within 119-1000 values. But the
reference interval must be 95% and the confidence interval is 90%.

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

nonparRanks function

A nonparRanks data set contains 882 observations and 3 variables.<dl>
<dt>SampleSize</dt>
<dd>sample size</dd><dt>Lower</dt>
<dd>lower rank</dd><dt>Upper</dt>
<dd>upper rank</dd>
</dl>

Format

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
This data shows the rank number for computing the confidence interval of
nonparametric reference limit when the samples within 119-1000 values. But the
reference interval must be 95% and the confidence interval is 90%.

Nonparametric Rank Number of Reference Interval — nonparRanks

A nonparRanks data set contains 882 observations and 3 variables.<dl>
<dt>SampleSize</dt>
<dd>sample size</dd>

<dt>Lower</dt>
<dd>lower rank</dd>

<dt>Upper</dt>
<dd>upper rank</dd>


</dl>

nonparRanks: Nonparametric Rank Number of Reference Interval

Description

Usage

Arguments

Format

References