带有 dplyr 标签名称的摘要

Question

我已经用 Haven 导入了一个 .sav 文件，但我被卡住的地方是我似乎无法弄清楚如何打印标签名称或标签编码。标签：1 = 失业，2 = 寻找等

Employment <- select(well_being_df, EmploymentStatus, Gender) %>% <group_by(EmploymentStatus) %>% summarise_all(funs(mean, n = n(), sd,min(.,is.na = TRUE), max(.,is.na = TRUE)))


# A tibble: 5 x 6
  EmploymentStatus  mean     n    sd   min   max
  <dbl+lbl>        <dbl> <int> <dbl> <dbl> <dbl>
 1 1                 1.67    12 0.492     1     2
 2 2                 1.17     6 0.408     1     2
 3 3                 1.8     85 0.431     1     3
 4 4                 1.5     62 0.504     1     2
 5 5                 1.5      4 0.577     1     2

理想：

 # A tibble: 5 x 6
EmploymentStatus  mean     n    sd   min   max
<dbl+lbl>        <dbl> <int> <dbl> <dbl> <dbl>
1 1  Unemployed     1.67    12 0.492     1     2
2 2  Looking        1.17     6 0.408     1     2
3 3  Etc            1.8     85 0.431     1     3
4 4                 1.5     62 0.504     1     2
5 5                 1.5      4 0.577     1     2

dput(head(well_being_df, 10))
structure(list(Age = c(22, 20, 23, 20, 25, 18, 24, 21, 21, 30.7344197070233
), Gender = structure(c(2, 2, 1, 2, 1, 2, 2, 2, 2, 1), labels = c(Male = 1, 
Female = 2, Transgender = 3), class = "labelled"), EmploymentStatus = structure(c(3, 
1, 4, 3, 3, 3, 3, 4, 3, 4), labels = c(`Unemployed but not looking` = 1, 
`Unemployed and looking` = 2, `Part-time` = 3, `Full-time` = 4, 
Retired = 5), class = "labelled"), Cognition1 = structure(c(6, 
3, 6, 5, 9, 6, 4, 4, 7, 5), labels = c(`Provides nothing that you want` = 0, 
`Provides half of what you want` = 5, `Provides all that you want` = 10
), class = "labelled"), Cognition2 = structure(c(7, 3, 8, 
5, 8, 5, 5, 7, 7, 3), labels = c(`Far below average` = 0, 
`About Average` = 5, `Far above average` = 10), class = "labelled"), 
Cognition3 = structure(c(6, 5, 4, 5, 6, 5, 5, 5, 5, 5), labels = c(`Far less than you deserve` = 0, 
`About what you deserve` = 5, `Far more than you deserve` = 10
), class = "labelled"), Cognition4 = structure(c(7, 3, 6, 
2, 8, 3, 3, 5, 6, 2), labels = c(`Far less than you need` = 0, 
`About what you need` = 5, `Far more than you need` = 10), class = "labelled"), 
Cognition5 = structure(c(10, 9, 6, 3, 7, 2, 2, 0, 4, 0), labels = c(`Far less than expected` = 0, 
`About as expected` = 5, `Far more than expected` = 10), class = "labelled"), 
Cognition6 = structure(c(8, 6, 0, 3, 3, 8, 9, 10, 5, 10), labels = c(`Far more than it will in the future` = 0, 
`About what you expect in the future` = 5, `Far less than what the future will offer` = 10
), class = "labelled"), Cognition7 = structure(c(9, 7, 10, 
5, 6, 2, 3, 0, 8, 3), labels = c(`Far below previous best` = 0, 
`Equals previous best` = 5, `Far above previous best` = 10
), class = "labelled")), row.names = c(NA, -10L), class = c("tbl_df", 
"tbl", "data.frame"))

Answer 1

Employment <- select(well_being_df, EmploymentStatus, Gender) %>% 
    mutate(EmploymentStatus = labelled::to_factor(EmploymentStatus)) %>% # use labelled package 
    group_by(EmploymentStatus) %>% 
    summarise_all(funs(mean, n = n(), sd,min(.,is.na = TRUE), max(.,is.na = TRUE)))

带有 dplyr 标签名称的摘要

Summary with label names with dplyr

r

dplyr

r-haven