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Substitute for rowMeans(is.na(data)), but it also checks if input is NULL or is a dataframe
rowMeans(is.na(data))
prop_miss_row(data)
a dataframe
numeric vector of the proportion 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
miss_prop_summary()
# NOT RUN { prop_miss_row(airquality) prop_miss_row(pedestrian) # }
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