naniar: miss_var_cumsum – R documentation

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miss_var_cumsum

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

Examples

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

# respects dplyr::group_by

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

## End(Not run)

naniar

Data Structures, Summaries, and Visualisations for Missing Data

v0.6.0

MIT + file LICENSE

Authors

Nicholas Tierney [aut, cre] (<https://orcid.org/0000-0003-1460-8722>), Di Cook [aut] (<https://orcid.org/0000-0002-3813-7155>), Miles McBain [aut] (<https://orcid.org/0000-0003-2865-2548>), Colin Fay [aut] (<https://orcid.org/0000-0001-7343-1846>), Mitchell O'Hara-Wild [ctb], Jim Hester [ctb], Luke Smith [ctb]

Initial release