data_rm_na_numbers

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_numbers function

<dl><dt>data</dt>
<dd>Data frame</dd>
<dt>na.numbers</dt>
<dd>Either a numeric vector with residual values or TRUE to use defaults in VLKR_NA_NUMBERS.
You can also define residual values by setting the global option vlkr.na.numbers
(e.g. <code>options(vlkr.na.numbers=c(-9))</code>).</dd>
<dt>check.labels</dt>
<dd>Whether to only remove NA numbers that are listed in the attributes of a column.</dd>
<dt>default</dt>
<dd>The default na numbers, if not explicitly provided by na.numbers or the options.</dd></dl>

Arguments

Remove NA numbers — data_rm_na_numbers

<dl>

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


<dt>na.numbers</dt>
<dd>Either a numeric vector with residual values or TRUE to use defaults in VLKR_NA_NUMBERS.
You can also define residual values by setting the global option vlkr.na.numbers
(e.g. <code>options(vlkr.na.numbers=c(-9))</code>).</dd>


<dt>check.labels</dt>
<dd>Whether to only remove NA numbers that are listed in the attributes of a column.</dd>


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

</dl>

data_rm_na_numbers: Remove NA numbers

Description

Usage

Value

Arguments