prop-miss-complete-case

prop_miss_case

prop_complete_case

Calculate the proportion of cases (rows) that contain missing or 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 (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

prop-miss-complete-case function

<dl><dt>data</dt>
<dd>a dataframe</dd></dl>

Arguments

Proportion of cases that contain a missing or complete values. — prop-miss-complete-case

<dl>

<dt>data</dt>
<dd>a dataframe</dd>

</dl>

Proportion of cases that contain a missing or complete values.

prop-miss-complete-case: Proportion of cases that contain a missing or complete values.

Description

Usage

Value

Arguments

See Also

Examples