naniar (version 0.4.2)

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 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

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

# }

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