miss_case_summary: Summarise the missingness in each case

Description Usage Arguments Value See Also Examples

View source: R/miss-x-summary.R

Description

Provide a summary for each case in the data 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

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Arguments

data

a data.frame

order

a logical indicating whether or not to order the result by n_miss. Defaults to TRUE. If FALSE, order of cases is the order input.

add_cumsum

logical indicating whether or not to add the cumulative sum of missings to the data. This can be useful when exploring patterns of nonresponse. These are calculated as the cumulative sum of the missings in the variables as they are first presented to the function.

...

extra arguments

Value

a tibble of the percent of missing data in each case.

See Also

pct_miss_case() prop_miss_case() pct_miss_var() prop_miss_var() pct_complete_case() prop_complete_case() pct_complete_var() prop_complete_var() miss_prop_summary() miss_case_summary miss_case_table miss_summary miss_var_prop miss_var_run miss_var_span miss_var_summary miss_var_table n_complete n_complete_row n_miss n_miss_row pct_complete pct_miss prop_complete prop_complete_row prop_miss

Examples

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

miss_case_summary(airquality)

naniar documentation built on Sept. 10, 2018, 5:05 p.m.