bind_shadow: Bind a shadow dataframe to original data

In njtierney/naniar: Data Structures, Summaries, and Visualisations for Missing Data

Bind a shadow dataframe to original data

Description

Binding a shadow matrix to a regular dataframe helps visualise and work with missing data.

Usage

bind_shadow(data, only_miss = FALSE, ...)

Arguments

data	a dataframe
only_miss	logical - if FALSE (default) it will bind a dataframe with all of the variables duplicated with their shadow. Setting this to TRUE will bind variables only those variables that contain missing values. See the examples for more details.
...	extra options to pass to recode_shadow() - a work in progress.

Value

data with the added variable shifted and the suffix ⁠_NA⁠

Examples

bind_shadow(airquality)

# bind only the variables that contain missing values
bind_shadow(airquality, only_miss = TRUE)

aq_shadow <- bind_shadow(airquality)

## Not run: 
# explore missing data visually
library(ggplot2)

# using the bounded shadow to visualise Ozone according to whether Solar
# Radiation is missing or not.

ggplot(data = aq_shadow,
       aes(x = Ozone)) +
       geom_histogram() +
       facet_wrap(~Solar.R_NA,
       ncol = 1)

## End(Not run)

njtierney/naniar documentation built on March 19, 2024, 9:48 p.m.