It is natural to use the same function as the previous code chunk. (#1492)

This commit is contained in:
Mitsuo Shiota
2023-11-09 12:11:21 +09:00
committed by GitHub
parent e542450760
commit 6b90ffda93

View File

@@ -261,7 +261,7 @@ If you'd like to instead create new columns, you can use the `.names` argument t
```{r}
df_miss |>
mutate(
across(a:d, \(x) abs(x), .names = "{.col}_abs")
across(a:d, \(x) coalesce(x, 0), .names = "{.col}_na_zero")
)
```