Tabulate missings in cases.

Provide a tidy table of the number of cases with 0, 1, 2, up to n, missing values and the proportion of the number of cases those cases make up.

miss_case_table(data)

Arguments

data	a dataframe

Value

a dataframe

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

miss_case_table(airquality)
#> # A tibble: 3 x 3
#>   n_miss_in_case n_cases pct_cases
#>            <int>   <int>     <dbl>
#> 1              0     111     72.5 
#> 2              1      40     26.1 
#> 3              2       2      1.31
if (FALSE) {
library(dplyr)
airquality %>%
  group_by(Month) %>%
  miss_case_table()
}