any-na

any_na

any_miss

any_complete

It is useful to search for any instances of missing or complete values. There
Are two functions that do this in <code>naniar</code> - <code>any_miss</code> and it's alias
<code>any_na</code>. These bother under the hood call <code>anyNA</code>. <code>any_complete</code> is
the complement to <code>any_miss</code> - it returns TRUE if there are any complete values.

Missing values are ubiquitous in data and need to be explored and
handled in the initial stages of analysis. 'naniar' provides data structures
and functions that facilitate the plotting of missing values and examination
of imputations. This allows missing data dependencies to be explored with
minimal deviation from the common work patterns of 'ggplot2' and tidy data.
The work is fully discussed at Tierney & Cook (2018) <arXiv:1809.02264>.

Nicholas Tierney

naniar

Data Structures, Summaries, and Visualisations for Missing Data

Di Cook

Miles McBain

Colin Fay

Mitchell O'Hara-Wild

Jim Hester

Luke Smith

Andrew Heiss

any-na function

<dl><dt>x</dt>
<dd>an R object to be tested</dd></dl>

Arguments

Identify if there are any missing or complete values — any-na

<dl>

<dt>x</dt>
<dd>an R object to be tested</dd>

</dl>

Identify if there are any missing or complete values

any-na: Identify if there are any missing or complete values

Description

Usage

Arguments

See Also

Examples