miss_var_which

It can be helpful when writing other functions to just return the names
of the variables that contain missing values. <code>miss_var_which</code> returns a
vector of variable names that contain missings. It will return NULL when
there are no 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

miss_var_which function

<dl><dt>data</dt>
<dd>a data.frame</dd></dl>

Arguments

Which variables contain missing values? — miss_var_which

<dl>

<dt>data</dt>
<dd>a data.frame</dd>

</dl>

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miss_var_which: Which variables contain missing values?

Description

Usage

Value

Arguments

Examples