naniar (version 0.6.0)

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(x, ...)

Arguments

x

a variable of interest to shift

...

extra arguments to pass

See Also

add_shadow_shift() cast_shadow_shift() cast_shadow_shift_label()

Examples

# NOT RUN {
airquality$Ozone
shadow_shift(airquality$Ozone)
# }
# NOT RUN {
library(dplyr)
airquality %>%
    mutate(Ozone_shift = shadow_shift(Ozone))
# }