stat_mean_pval

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=tern&version=0.9.8" alt="[Stable]"></a>
Convenient function for calculating the two-sided p-value of the mean.

Table, Listings, and Graphs (TLG) library for common outputs
used in clinical trials.

Joe Zhu

tern

Create Common TLGs Used in Clinical Trials

stat_mean_pval function

<dl><dt>x</dt>
<dd>(<code>numeric</code>) vector of numbers we want to analyze.</dd>
<dt>na.rm</dt>
<dd>(<code>flag</code>) whether <code>NA</code> values should be removed from <code>x</code> prior to analysis.</dd>
<dt>n_min</dt>
<dd>(<code>numeric(1)</code>) a minimum number of non-missing <code>x</code> to estimate the p-value of the mean.</dd>
<dt>test_mean</dt>
<dd>(<code>numeric(1)</code>) mean value to test under the null hypothesis.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Convenient function for calculating the two-sided p-value of the mean.

p-Value of the mean — stat_mean_pval

<dl>

<dt>x</dt>
<dd>(<code>numeric</code>) vector of numbers we want to analyze.</dd>


<dt>na.rm</dt>
<dd>(<code>flag</code>) whether <code>NA</code> values should be removed from <code>x</code> prior to analysis.</dd>


<dt>n_min</dt>
<dd>(<code>numeric(1)</code>) a minimum number of non-missing <code>x</code> to estimate the p-value of the mean.</dd>


<dt>test_mean</dt>
<dd>(<code>numeric(1)</code>) mean value to test under the null hypothesis.</dd>

</dl>

stat_mean_pval: p-Value of the mean

Description

Usage

Value

Arguments

Examples