naniar (version 0.3.1)

miss_var_summary: Summarise the missingness in each variable

Description

Provide a summary for each variable of the number, percent missings, and cumulative sum of missings of the order of the variables. By default, it orders by the most missings in each variable.

Usage

miss_var_summary(data, order = FALSE, ...)

Arguments

data

a data.frame

order

a logical indicating whether to order the result by n_miss. Defaults to TRUE. If FALSE, order of variables is the order input.

...

extra arguments

Value

a tibble of the percent of missing data in each variable

See Also

miss_case_pct miss_case_prop miss_prop_summary() miss_case_summary miss_case_table miss_summary miss_var_pct miss_var_prop miss_var_run miss_var_span miss_var_table

Examples

# NOT RUN {
miss_var_summary(airquality)
miss_var_summary(oceanbuoys, order = TRUE)

# works with group_by from dplyr
library(dplyr)
airquality %>%
  group_by(Month) %>%
  miss_var_summary()

# }