I have a character vector, including some elements that are duplicates e.g.
v <- c(\"d09\", \"d11\", \"d13\", \"d01\", \"d02\", \"d10\", \"d13\")
You can use match and negative indexing.
v[-match(x, v)]
produces
[1] "d09" "d01" "d02" "d13"
match only returns the location of the first match of a value, which we use to our advantage here.
Note that %in% and is.element are degenerate versions of match. Compare:
match(x, v) # [1] 6 2 3
match(x, v) > 0 # [1] TRUE TRUE TRUE
x %in% v # [1] TRUE TRUE TRUE
is.element(x, v) # [1] TRUE TRUE TRUE
The last three are all the same, and are basically the coerced to logical version of the first (in fact, see code for %in% and is.element). In doing so you lose key information, which is the location of the first match of x in v and are left only knowing that x values exist in v.
The converse, v %in% x means something different from what you want, which is "which values in v are in x", which won't meet your requirement since all duplicate values will satisfy that condition.