ggmice: Plot incomplete or imputed data

In amices/ggmice: Visualizations for 'mice' with 'ggplot2'

Plot incomplete or imputed data

Description

Plot incomplete or imputed data

Usage

ggmice(data = NULL, mapping = ggplot2::aes())

Arguments

data	An incomplete dataset (of class data.frame), or an object of class mice::mids.
mapping	A list of aesthetic mappings created with ggplot2::aes().

Value

An object of class ggplot2::ggplot. The ggmice function returns output equivalent to ggplot2::ggplot output, with a few important exceptions:

• The theme is set to theme_mice.

• The color scale is set to the mice::mdc colors.

• The colour aesthetic is set to .where, an internally defined variable which distinguishes observed data from missing data or imputed data (for incomplete and imputed data, respectively).

See Also

See the ggmice vignette to use the ggmice() function on incomplete data or imputed data.

Examples

dat <- mice::nhanes
ggmice(dat, ggplot2::aes(x = age, y = bmi)) + ggplot2::geom_point()
imp <- mice::mice(dat, print = FALSE)
ggmice(imp, ggplot2::aes(x = age, y = bmi)) + ggplot2::geom_point()

amices/ggmice documentation built on July 28, 2024, 5:27 p.m.