fct_explicit_na_if

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=tern&version=0.9.7" alt="[Stable]"></a>
This inserts explicit missing values in a factor based on a condition. Additionally,
existing <code>NA</code> values will be explicitly converted to given <code>na_level</code>.

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

Joe Zhu

tern

Create Common TLGs Used in Clinical Trials

fct_explicit_na_if function

<dl><dt>x</dt>
<dd>(<code>factor</code>) the original factor.</dd>
<dt>condition</dt>
<dd>(<code>logical</code>) positions at which to insert missing values.</dd>
<dt>na_level</dt>
<dd>(<code>string</code>) which level to use for missing values.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
This inserts explicit missing values in a factor based on a condition. Additionally,
existing <code>NA</code> values will be explicitly converted to given <code>na_level</code>.

Insertion of explicit missing values in a factor — fct_explicit_na_if

<dl>

<dt>x</dt>
<dd>(<code>factor</code>) the original factor.</dd>


<dt>condition</dt>
<dd>(<code>logical</code>) positions at which to insert missing values.</dd>


<dt>na_level</dt>
<dd>(<code>string</code>) which level to use for missing values.</dd>

</dl>

fct_explicit_na_if: Insertion of explicit missing values in a factor

Description

Usage

Value

Arguments

See Also

Examples