
Substitute for rowSums(is.na(data))
, but it also checks if input is NULL or
is a dataframe
n_miss_row(data)
a dataframe
numeric vector of the number of missing values in each row
miss_case_pct miss_case_prop miss_prop_summary()
miss_case_summary miss_case_table miss_summary miss_var_pct 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
# NOT RUN {
n_miss_row(airquality)
n_miss_row(pedestrian)
# }
Run the code above in your browser using DataLab