Question

我正在尝试处理数据，并希望基于两类都具有分类级别的列创建新变量。我试图用tidyverse通过3种方式实现这一点（需要坚持使用该库）。

这是我尝试过的。

a_method

但是，我遇到了一个错误：

LibraryClass

第二，我也尝试在tidyverse中使用unite函数，但没有成功。

最后，第三，我在同一库中搜索并找到了组索引。这是我所做的，但失败了。：）

this.usersService.getUsers().subscribe(users => {
  this.users = users.sort((x,y) => x.? - y.?);
});

有错误：

data_indices <- df_subs %>%
   mutate(ifelse(sex == "Female" & patient.class == "Not_Admitted", "female_not_admitted",
          ifelse(sex == "Female" & patient.class == "ORDINARY ADMISSION", "female_admitted",
          ifelse(sex == "Male" & patient.class == "Not_Admitted", "male_not_admitted",
          ifelse(sex == "Male" & patient.class == "ORDINARY ADMISSION",  "male_admitted")))))

有人可以帮忙吗？

Answer 1

有点难以理解您需要执行的功能。但这是一个猜测：）

df_subs <- data.frame(sex = c("Male", 
                              "Female", 
                              "Female"),
                      patient.class = c("Not_Admitted", 
                                        "ORDINARY ADMISSION", 
                                        "ORDINARY ADMISSION"))

# Question 1
df_subs %>% 
  mutate(sex_patient_class = case_when(
    sex == "Female" & patient.class == "Not_Admitted"          ~ "female_not_admitted",
    sex == "Female" & patient.class == "ORDINARY ADMISSION"    ~ "female_admitted",
    sex == "Male"   & patient.class == "Not_Admitted"          ~ "male_not_admitted",
    sex == "Male"   & patient.class == "ORDINARY ADMISSION"    ~ "male_admitted"
  ))

# Question 2
df_subs %>% 
  unite(sex_patient_class, sex, patient.class, sep = "_")

# Question 3
df_subs %>% 
  mutate(group_indices = group_indices(., patient.class, sex))

根据另外两个包含tidyverse类别的列创建新变量

1 个答案: