reexports

vis_miss

%&gt;%

is_na

are_na

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class="dl-horizontal">
 <dt>magrittr</dt><dd><code><a rd-options="magrittr" href="/link/%25%26gt%3B%25?package=naniar&version=0.4.2&to=magrittr" data-mini-rdoc="magrittr::%&gt;%">%&gt;%</a></code></dd><dt>rlang</dt><dd><code><a rd-options="rlang" href="/link/is_na?package=naniar&version=0.4.2&to=rlang" data-mini-rdoc="rlang::is_na">is_na</a></code>, <code><a rd-options="rlang" href="/link/are_na?package=naniar&version=0.4.2&to=rlang" data-mini-rdoc="rlang::are_na">are_na</a></code></dd><dt>visdat</dt><dd><code><a rd-options="visdat" href="/link/vis_miss?package=naniar&version=0.4.2&to=visdat" data-mini-rdoc="visdat::vis_miss">vis_miss</a></code></dd>
</dl>

internal

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.

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

reexports function

Objects exported from other packages — reexports

Objects exported from other packages

reexports: Objects exported from other packages

Description

Arguments