如何应用跨多列具有多个输入的函数？

Question

我有一个接受两个参数（列）的函数。该函数根据另一列中的值 (y) 更改一列 (x) 的值。

fun <- function(x, y) {
  x = coalesce(case_when(y %in% c("hello", "hi") ~ '1',
            y == "thanks" ~ '2'), x)
}

但是，这需要在很多列对上完成，所以我想把它变成一个函数。

这样做正确吗：

df %>% mutate(across(c(col1, col3), c(col2, col4), fun))

来自

col1     col2     col3     col4
1                 1
2                 4
5       "hello"   5        "hello"
3               
4                 4
5       "hi"      5        "thanks"
5       "thanks" 
5       "goodbye" 5        "hello"

到

col1     col2     col3     col4
1                 1
2                 4
1       "hello"   1        "hello"
3               
4                 4
1       "hi"      2        "thanks"
2       "thanks" 
5       "goodbye" 1        "hello"

Answer 1

如果是成对的，那么我们可能需要map2其中returns个list个vector个可以赋值给新列到现有列的数据集（代码不清楚）

library(purrr)
library(dplyr)
fun <- function(data, x, y) {
     coalesce(case_when(data[[y]] %in% c("hello", "hi") ~ 1,
           data[[y]] == "thanks" ~ 2), data[[x]])
}
df[c("col1", "col3")] <- map2( c("col1", "col3"),
     c("col2", "col4"), ~  fun(df, .x, .y))

-输出

> df
  col1    col2 col3   col4
1    1    <NA>    1   <NA>
2    2    <NA>    4   <NA>
3    1   hello    1  hello
4    3    <NA>   NA   <NA>
5    4    <NA>    4   <NA>
6    1      hi    2 thanks
7    2  thanks   NA   <NA>
8    5 goodbye    1  hello

数据

df <- structure(list(col1 = c(1L, 2L, 5L, 3L, 4L, 5L, 5L, 5L), col2 = c(NA, 
NA, "hello", NA, NA, "hi", "thanks", "goodbye"), col3 = c(1L, 
4L, 5L, NA, 4L, 5L, NA, 5L), col4 = c(NA, NA, "hello", NA, NA, 
"thanks", NA, "hello")), class = "data.frame", row.names = c(NA, 
-8L))

如何应用跨多列具有多个输入的函数？

How do you apply a function that has multiple inputs across multiple columns?

r

function

across

mutated

数据