add_label_shadow: Add a column describing whether there is a shadow

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

Add a column describing whether there is a shadow

Description

Instead of focussing on labelling whether there are missings, we instead focus on whether there have been any shadows created. This can be useful when data has been imputed and you need to determine which rows contained missing values when the shadow was bound to the dataset.

Usage

add_label_shadow(data, ..., missing = "Missing", complete = "Not Missing")

Arguments

data	data.frame
...	extra variable to label
missing	character a label for when values are missing - defaults to "Missing"
complete	character character a label for when values are complete - defaults to "Not Missing"

Value

data.frame with a column, "any_missing", which describes whether or not there are any rows that have a shadow value.

See Also

bind_shadow() add_any_miss() add_label_missings() add_label_shadow() add_miss_cluster() add_n_miss() add_prop_miss() add_shadow_shift() cast_shadow()

Examples

airquality %>%
  add_shadow(Ozone, Solar.R) %>%
  add_label_shadow()

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