cast_shadow: Add a shadow column to a dataset

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

Add a shadow column to a dataset

Description

Casting a shadow shifted column performs the equivalent pattern to data %>% select(var) %>% impute_below(). This is a convenience function that makes it easy to perform certain visualisations, in line with the principle that the user should have a way to flexibly return data formats containing information about the missing data. It forms the base building block for the functions cast_shadow_shift, and cast_shadow_shift_label. It also respects the dplyr verbs starts_with, contains, ends_with, etc. to select variables.

Usage

cast_shadow(data, ...)

Arguments

data	data.frame
...	One or more unquoted variable names separated by commas. These respect the dplyr verbs starts_with, contains, ends_with, etc.

Value

data with the added variable shifted and the suffix ⁠_NA⁠

See Also

cast_shadow_shift(), cast_shadow_shift_label() bind_shadow() add_any_miss() add_label_missings() add_label_shadow() add_miss_cluster() add_prop_miss() add_shadow_shift()

Examples

airquality %>% cast_shadow(Ozone, Solar.R)
## Not run: 
library(ggplot2)
library(magrittr)
airquality  %>%
  cast_shadow(Ozone,Solar.R) %>%
  ggplot(aes(x = Ozone,
             colour = Solar.R_NA)) +
        geom_density()

## End(Not run)

naniar documentation built on May 29, 2024, 1:43 a.m.