naniar (version 1.1.0)

shadow_shift: Shift missing values to facilitate missing data exploration/visualisation

Description

shadow_shift transforms missing values to facilitate visualisation, and has different behaviour for different types of variables. For numeric variables, the values are shifted to 10% below the minimum value for a given variable plus some jittered noise, to separate repeated values, so that missing values can be visualised along with the rest of the data.

Usage

shadow_shift(...)

Arguments

...

arguments to impute_below().

Details

See Also

add_shadow_shift() cast_shadow_shift() cast_shadow_shift_label()

Examples

airquality$Ozone
shadow_shift(airquality$Ozone)
if (FALSE) {
library(dplyr)
airquality %>%
    mutate(Ozone_shift = shadow_shift(Ozone))
}