如何使用 mutate_at 和 set_value_labels 来更改多个变量的值标签?

How do I use mutate_at with set_value_labels to change the value labels of multiple variables?

如何在通过 haven 从 SPSS 导入的数据框中设置多个变量的值标签。这会产生 haven_labelled class 的变量。我正在尝试使用 [labelled][1] 包设置值标签。

#Fake data
var1<-labelled(sample(seq(1,4,1)), labels=NULL)
var2<-labelled(sample(seq(1,4,1)), labels=NULL)
var3<-labelled(sample(seq(1,4,1)), labels=NULL)
#Provide one variable to make sure I can use the vars() function so I can select out a subset of variables to mutate
out<-labelled(sample(seq(1,4,1)), labels=NULL)
df<-data.frame(var1, var2, var3, out)
#Check that these are haven_labelled as my data are
str(df)
df %>% 
  mutate_at(vars(starts_with('var')),set_value_labels, 
            "Catholic=1",
            "Protestant=2",
            "None=3", 
            "Other=4") %>% 
val_labels()

最后,我希望这四个变量中的每一个都具有相同的值标签。 这行得通,但我正在尝试简化代码。


val_labels(df[,c('var1', 'var2', 'var3')])<-c(Catholic=1, Protestant=2, None=3, Other=4)
df
str(df)
as_factor(df)

只需使用 haven 而不是 labelled 这应该可行——你已经非常接近了,但你只需要将标签作为命名向量传递:

library(dplyr)
library(haven)
library(purrr)

df %>% 
  mutate_at(vars(starts_with('var')), ~labelled_spss(., labels = c("Catholic"=1, "Protestant"=2, "None"=3, "Other"=4))) %>% 
  map(print_labels)

Labels:
 value      label
     1   Catholic
     2 Protestant
     3       None
     4      Other

Labels:
 value      label
     1   Catholic
     2 Protestant
     3       None
     4      Other

Labels:
 value      label
     1   Catholic
     2 Protestant
     3       None
     4      Other
$var1
<Labelled SPSS double>
[1] 1 3 4 2

Labels:
 value      label
     1   Catholic
     2 Protestant
     3       None
     4      Other

$var2
<Labelled SPSS double>
[1] 4 3 1 2

Labels:
 value      label
     1   Catholic
     2 Protestant
     3       None
     4      Other

$var3
<Labelled SPSS double>
[1] 3 4 2 1

Labels:
 value      label
     1   Catholic
     2 Protestant
     3       None
     4      Other

$out
<Labelled double>
[1] 3 1 4 2