miss_var_cumsum: Cumulative sum of the number of missings in each variable

In njtierney/naniar: Data Structures, Summaries, and Visualisations for Missing Data

Cumulative sum of the number of missings in each variable

Description

Calculate the cumulative sum of number & percentage of missingness for each variable.

Usage

miss_var_cumsum(data)

Arguments

data	a data.frame

Value

a tibble of the cumulative sum of missing data in each variable

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()

Examples

miss_var_cumsum(airquality)
## Not run: 
library(dplyr)

# respects dplyr::group_by

airquality %>%
  group_by(Month) %>%
  miss_var_cumsum()

## End(Not run)

njtierney/naniar documentation built on March 19, 2024, 9:48 p.m.