remove_NA

Removes rows from a data frame based on NA patterns in specified columns.
By default, removes rows if ANY of the specified columns contain NA.
Can optionally remove only rows where ALL specified columns are NA.

internal

A high-level interface for creating and exporting summary tables to
'Excel'. Built on 'dplyr' and 'openxlsx', it provides tools for generating
one-way to n-way tables, and summarizing multiple response questions
and question blocks. Tables are exported with native 'Excel' formatting,
including titles, footnotes, and basic styling options.

Nicholas Hilderson

Create Table Summaries and Export Neat Tables to 'Excel'

remove_NA function

<dl><dt>.data</dt>
<dd>A data frame or tibble</dd>
<dt>cols</dt>
<dd>&lt;<code><a href="https://dplyr.tidyverse.org/reference/dplyr_tidy_select.html">tidy-select</a></code>&gt; Columns to check for NA values.
If no columns are specified, returns the data unchanged.</dd>
<dt>complete</dt>
<dd>Logical. If <code>TRUE</code> (default), removes rows where all of the
specified columns contain NA. If <code>FALSE</code>, removes only rows where at least
one of the specified columns are NA.</dd>
<dt>call</dt>
<dd>The execution environment of a currently running function, e.g.
<code>caller_env()</code>. Used for error reporting.</dd></dl>

Arguments

Remove rows with NA values — remove_NA

<dl>

<dt>.data</dt>
<dd>A data frame or tibble</dd>


<dt>cols</dt>
<dd>&lt;<code><a href='https://dplyr.tidyverse.org/reference/dplyr_tidy_select.html'>tidy-select</a></code>&gt; Columns to check for NA values.
If no columns are specified, returns the data unchanged.</dd>


<dt>complete</dt>
<dd>Logical. If <code>TRUE</code> (default), removes rows where all of the
specified columns contain NA. If <code>FALSE</code>, removes only rows where at least
one of the specified columns are NA.</dd>


<dt>call</dt>
<dd>The execution environment of a currently running function, e.g.
<code>caller_env()</code>. Used for error reporting.</dd>

</dl>

remove_NA: Remove rows with NA values

Description

Usage

Value

Arguments