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)
data | a dataframe |
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a dataframe
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()
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