draw_key

draw_key_missing_point

Each Geom has an associated function that draws the key when the geom needs
to be displayed in a legend. These are the options built into naniar.

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. 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

draw_key function

<dl><dt>data</dt>
<dd>A single row data frame containing the scaled aesthetics to
display in this key</dd>
<dt>params</dt>
<dd>A list of additional parameters supplied to the geom.</dd>
<dt>size</dt>
<dd>Width and height of key in mm.</dd></dl>

Arguments

Key drawing functions — draw_key

<dl>

<dt>data</dt>
<dd>A single row data frame containing the scaled aesthetics to
display in this key</dd>


<dt>params</dt>
<dd>A list of additional parameters supplied to the geom.</dd>


<dt>size</dt>
<dd>Width and height of key in mm.</dd>

</dl>

Key drawing functions

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draw_key: Key drawing functions

Description

Usage

Value

Arguments