I would like to modify column attributes inside of dplyr::mutate(). Here is some example data:
library(dplyr, warn.conflicts = FALSE)
v1 <- tibble(
id = 1:5,
visit = 1,
x = 1:5,
y = c(0, 0, 0, 1, 1)
)
The end result I would like to get is the same result I would get from:
attr(v1$id, "source") <- "Collected at v1"
attr(v1$visit, "source") <- "Collected at v1"
attr(v1$x, "source") <- "Collected at v1"
attr(v1$y, "source") <- "Collected at v1"
I know I can just use a for loop.
for (col in names(v1)) {
attr(v1[[col]], "source") <- "Collected at v1"
}
However, I have reasons for wanting to do this inside of dplyr. I'm trying to get to something like this.
v1 %>%
mutate(
across(
.cols = everything(),
.fns = ~ function_to_update_attributes("source", "Collected at v1")
)
)
Right now, I can't even get this to work for a single variable. This is the closest I've gotten.
v1 %>%
mutate(
id = `<-`(attr(.[["id"]], "source"), "Collected at v1")
)
Which returns
# A tibble: 5 × 4
id visit x y
<chr> <dbl> <int> <dbl>
1 Collected at v1 1 1 0
2 Collected at v1 1 2 0
3 Collected at v1 1 3 0
4 Collected at v1 1 4 1
5 Collected at v1 1 5 1
Any constructive feedback is welcome and appreciated!
This is also posted on Stack Overflow at: r - Modify arbitrary column attributes using dplyr::mutate() - Stack Overflow