n-var-case-miss

n_var_miss

n_case_miss

This function calculates the number of variables or cases that contain a missing value

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

n-var-case-miss function

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

Arguments

The number of variables or cases with missing values — n-var-case-miss

<dl>

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

</dl>

The number of variables or cases with missing values

n-var-case-miss: The number of variables or cases with missing values

Description

Usage

Value

Arguments

See Also

Examples