Reputation: 2081
I have a tibble
with columns named as numbers (e.g. 1
). I created a function to compute differences between columns, but I don't know how to do it with that type of columns:
<!-- language-all: lang-r -->
library(tidyverse)
df <- tibble(`1` = c(1,2,3), `2` = c(2,4,6))
# This works
df %>%
mutate(diff = `1` - `2`)
#> # A tibble: 3 x 3
#> `1` `2` diff
#> <dbl> <dbl> <dbl>
#> 1 1 2 -1
#> 2 2 4 -2
#> 3 3 6 -3
# But this doesn't
calc_diffs <- function(x, y){
df %>%
mutate(diff := !!x - !!y)
}
calc_diffs(1, 2)
#> # A tibble: 3 x 3
#> `1` `2` diff
#> <dbl> <dbl> <dbl>
#> 1 1 2 -1
#> 2 2 4 -1
#> 3 3 6 -1
<sup>Created on 2020-10-14 by the [reprex package](https://reprex.tidyverse.org) (v0.3.0)</sup>
Upvotes: 1
Views: 137
Reputation: 11546
Does this work:
> df <- tibble(`1` = c(1,2,3), `2` = c(2,4,6))
> df
# A tibble: 3 x 2
`1` `2`
<dbl> <dbl>
1 1 2
2 2 4
3 3 6
> calc_diffs <- function(x, y){
+ df %>%
+ mutate(diff = {{x}} - {{y}})
+ }
> calc_diffs(`1`,`2`)
# A tibble: 3 x 3
`1` `2` diff
<dbl> <dbl> <dbl>
1 1 2 -1
2 2 4 -2
3 3 6 -3
>
Upvotes: 2
Reputation: 887891
We can convert to a symbol and evaluate
calc_diffs <- function(x, y){
df %>%
mutate(diff := !! rlang::sym(x) - !!rlang::sym(y))
}
Then, we just pass a string as argument
calc_diffs("1", "2")
# A tibble: 3 x 3
# `1` `2` diff
# <dbl> <dbl> <dbl>
#1 1 2 -1
#2 2 4 -2
#3 3 6 -3
Column names are strings. We could pass index to subset the column, but here the column name is an unusual name that starts with number. So, either we can wrap it with backreference using paste
or just pass a string, convert to sym
bol and evaluate (!!
)
Upvotes: 2