Filter data frame rows based on values in vector

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nzcoops is spot on with his suggestion. I posed this question in the R Chat a while back and Paul Teetor suggested defining a new function:

`%notin%` <- function(x,y) !(x %in% y)

Which can then be used as follows:

foo <- letters[1:6]

> foo[foo %notin% c("a", "c", "e")]
[1] "b" "d" "f"

Needless to say, this little gem is now in my R profile and gets used quite often.

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