impute_below

extra arguments to pass - see <code><a rd-options="=shadow_shift" href="/link/shadow_shift()?package=naniar&version=0.4.2&to=%3Dshadow_shift" data-mini-rdoc="=shadow_shift::shadow_shift()">shadow_shift()</a></code> for discussion on this.

It can be useful in exploratory graphics to impute data outside the range of
the data. <code>impute_below</code> imputes all variables with missings to have
values 10
values adds a new string or label. It is powered by <code>shadow_shift</code>, so
please see the documentation for <code><a rd-options="=shadow_shift" href="/link/shadow_shift()?package=naniar&version=0.4.2&to=%3Dshadow_shift" data-mini-rdoc="=shadow_shift::shadow_shift()">shadow_shift()</a></code> to full details on the
different implementations.

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

impute_below function

extra arguments to pass - see <code><a rd-options='=shadow_shift' href='shadow_shift()'>shadow_shift()</a></code> for discussion on this.

It can be useful in exploratory graphics to impute data outside the range of
the data. <code>impute_below</code> imputes all variables with missings to have
values 10
values adds a new string or label. It is powered by <code>shadow_shift</code>, so
please see the documentation for <code><a rd-options='=shadow_shift' href='shadow_shift()'>shadow_shift()</a></code> to full details on the
different implementations.

impute_below: Impute data with values shifted 10% below range.

Description

Usage

Arguments