data_rm_na_levels

internal

Craft polished tables and plots in Markdown reports.
Simply choose whether to treat your data as counts or metrics,
and the package will automatically generate well-designed default tables and plots for you.
Boiled down to the basics, with labeling features and simple interactive reports.
All functions are 'tidyverse' compatible.

Jakob Jünger

volker

High-Level Functions for Tabulating, Charting and Reporting
Survey Data

Henrieke Kotthoff

Chantal Gärtner

data_rm_na_levels function

<dl><dt>data</dt>
<dd>Data frame</dd>
<dt>na.levels</dt>
<dd>Residual values to remove from factor columns.
Either a character vector with residual values or TRUE to use defaults in VLKR_NA_LEVELS.
You can define default residual levels by setting the global option vlkr.na.levels
(e.g. <code>options(vlkr.na.levels=c("Not answered"))</code>).</dd>
<dt>default</dt>
<dd>The default na levels, if not explicitly provided by na.levels or the options.</dd></dl>

Arguments

Remove NA levels — data_rm_na_levels

<dl>

<dt>data</dt>
<dd>Data frame</dd>


<dt>na.levels</dt>
<dd>Residual values to remove from factor columns.
Either a character vector with residual values or TRUE to use defaults in VLKR_NA_LEVELS.
You can define default residual levels by setting the global option vlkr.na.levels
(e.g. <code>options(vlkr.na.levels=c("Not answered"))</code>).</dd>


<dt>default</dt>
<dd>The default na levels, if not explicitly provided by na.levels or the options.</dd>

</dl>

data_rm_na_levels: Remove NA levels

Description

Usage

Value

Arguments