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)
data |
a dataframe |
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) ## Not run: library(dplyr) airquality %>% group_by(Month) %>% miss_case_table() ## End(Not run)
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