label_missings {naniar}

Is there a missing value in the row of a dataframe?

Description

Creates a character vector describing presence/absence of missing values

Usage

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

Arguments

data

a dataframe or set of vectors of the same length

...

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

character vector of "Missing" and "Not Missing".

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

label_missings(airquality)

## Not run: 
library(dplyr)

airquality %>%
  mutate(is_missing = label_missings(airquality)) %>%
  head()

airquality %>%
  mutate(is_missing = label_missings(airquality,
                                     missing = "definitely missing",
                                     complete = "absolutely complete")) %>%
  head()

## End(Not run)