drop_na(body_mass_g, sex, .logic = "AND") 「正确的代码:」 palmerpenguins::penguins %>% filter(!across(c(body_mass_g, sex), .fns = is.na)) 4. 把y1和y2缺失同时缺失的删掉 dat %>% filter(!(is.na(y1) & is.na(y2))) > dat %>% filter(!(is.na(y1) & is.na(y2))) ...