[英]R: how to do recode for multiple variables at a time
I am trying not to get tangled in loops and complicated code that will take a lot longer to get right than simply repeating lines of code.我试图不纠缠于循环和复杂的代码中,这些代码比简单地重复代码行需要更长的时间才能正确完成。
I want to do the following recode for multiple variables in R.我想对 R 中的多个变量进行以下重新编码。 I concatenated the variables, but they didn't change the content of the original data file.我连接了变量,但它们并没有改变原始数据文件的内容。
recode(d$var1,"1=50; 2=70; 3=100; 4=140; 5=190")
repeat for d$var2
to d$var20
....重复d$var2
到d$var20
....
If it's better use of coding time to copy the code 20 times, just tell me!如果更好地利用编码时间复制代码 20 次,请告诉我!
Many thanks.非常感谢。
Let让
d = data.frame(var1 = c(1, 2, 3, 4, 5),
var2 = c(1, 2, 3, 4, 5),
var3 = c(1, 2, 3, 4, 5))
Then with a simple apply
we get然后通过一个简单的apply
我们得到
A = apply(d,
2,
function(x) dplyr::recode(x, "1" = "50", "2" = "70",
"3" = "100" , "4" = "140",
"5" = "190")) %>%
as.data.frame(stringsAsFactors = FALSE)
the output output
> A
var1 var2 var3
1 50 50 50
2 70 70 70
3 100 100 100
4 140 140 140
5 190 190 190
If all of your variables are in the same dataframe, you can edit var1:var3
with var1:var999
to recode all of the variables.如果所有变量都在同一个 dataframe 中,则可以使用var1:var999
编辑var1:var3
以重新编码所有变量。
With dplyr
:使用dplyr
:
A <- d %>%
mutate_at(vars(var1:var3), .funs = list(
~case_when(
. == 1 ~ 50,
. == 2 ~ 70,
. == 3 ~ 100,
. == 4 ~ 140,
. == 5 ~ 190
)
))
If you have var1:var3
across multiple dataframes or lists, you could create a function such as:如果您在多个数据帧或列表中有var1:var3
,您可以创建一个 function,例如:
recode_func <- function(x) {
df <- df %>%
mutate_at(vars(x), .funs = list(
~case_when(
. == 1 ~ 50,
. == 2 ~ 70,
. == 3 ~ 100,
. == 4 ~ 140,
. == 5 ~ 190
)
))
}
And then call the function to a dataframe or list.然后调用 function 到 dataframe 或列表。
Gives us:给我们:
var1 var2 var3
1 50 50 50
2 70 70 70
3 100 100 100
4 140 140 140
5 190 190 190
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