any_row_miss

Helper function to determine whether there are any missings

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 (2023)
<doi:10.18637/jss.v105.i07>.

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_row_miss function

<dl><dt>x</dt>
<dd>a vector</dd></dl>

Arguments

Helper function to determine whether there are any missings — any_row_miss

<dl>

<dt>x</dt>
<dd>a vector</dd>

</dl>

any_row_miss: Helper function to determine whether there are any missings

Description

Usage

Value

Arguments