data.table's equivalent of dplyr's bang bang (!!)

Say I have this DT and ID below:

library(data.table)
DT <- data.table(
  ID = c("b","b","b","a","a","c"),
  a = 1:6,
  b = 7:12,
  c = 13:18
)

ID <- "b"

DT
#>    ID a  b  c
#> 1:  b 1  7 13
#> 2:  b 2  8 14
#> 3:  b 3  9 15
#> 4:  a 4 10 16
#> 5:  a 5 11 17
#> 6:  c 6 12 18

Is there a {data.table} equivalent of {dplyr}‘s:

DT |> dplyr::filter(ID == !!ID)
#>    ID a b  c
#> 1:  b 1 7 13
#> 2:  b 2 8 14
#> 3:  b 3 9 15

Assuming I don’t change the variable’s name.

>Solution :

Yes, just wrap the variable in as.name():

DT[ID == as.name(ID)]

#    ID a b  c
# 1:  b 1 7 13
# 2:  b 2 8 14
# 3:  b 3 9 15