Summarise the missingness in each case — miss_case

Provide a data.frame containing each case (row), the number and percent of missing values in each case.

Usage

miss_case_cumsum(data)

Arguments

data: a dataframe

Value

a tibble containing the number and percent of missing data in each case

Examples


miss_case_cumsum(airquality)
#> Warning: `miss_case_cumsum()` was deprecated in naniar 1.1.0.
#> ℹ Please use `miss_var_summary(data, add_cumsum = TRUE)`
#> # A tibble: 153 × 3
#>     case n_miss n_miss_cumsum
#>    <int>  <int>         <int>
#>  1     1      0             0
#>  2     2      0             0
#>  3     3      0             0
#>  4     4      0             0
#>  5     5      2             2
#>  6     6      1             3
#>  7     7      0             3
#>  8     8      0             3
#>  9     9      0             3
#> 10    10      1             4
#> # ℹ 143 more rows

if (FALSE) {
library(dplyr)

airquality %>%
  group_by(Month) %>%
  miss_case_cumsum()
}