miss_summary: Collate summary measures from naniar into one tibble

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

Collate summary measures from naniar into one tibble

Description

miss_summary performs all of the missing data helper summaries and puts them into lists within a tibble

Usage

miss_summary(data, order = TRUE)

Arguments

data	a dataframe
order	whether or not to order the result by n_miss

Value

a tibble of missing data summaries

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

s_miss <- miss_summary(airquality)
s_miss$miss_df_prop
s_miss$miss_case_table
s_miss$miss_var_summary
# etc, etc, etc.

## Not run: 
library(dplyr)
s_miss_group <- group_by(airquality, Month) %>% miss_summary()
s_miss_group$miss_df_prop
s_miss_group$miss_case_table
# etc, etc, etc.

## End(Not run)

naniar documentation built on Feb. 16, 2023, 5:11 p.m.