Opposite of %in%: exclude rows with values specified in a vector

A categorical variable V1 in a data frame D1 can have values represented by the letters from A to Z. I want to create a subset D2, which excludes some values, say, B, N and T. Basically, I want a command which is the opposite of %in%

D2 = subset(D1, V1 %in% c("B", "N", "T"))

You can use the ! operator to basically make any TRUE FALSE and every FALSE TRUE. so:

D2 = subset(D1, !(V1 %in% c('B','N','T')))

EDIT: You can also make an operator yourself:

'%!in%' <- function(x,y)!('%in%'(x,y))

c(1,3,11)%!in%1:10
[1] FALSE FALSE  TRUE

How about:

`%ni%` <- Negate(`%in%`)
c(1,3,11) %ni% 1:10
# [1] FALSE FALSE  TRUE

Here is a version using filter in dplyr that applies the same technique as the accepted answer by negating the logical with !:

D2 <- D1 %>% dplyr::filter(!V1 %in% c('B','N','T'))

If you look at the code of %in%

 function (x, table) match(x, table, nomatch = 0L) > 0L

then you should be able to write your version of opposite. I use

`%not in%` <- function (x, table) is.na(match(x, table, nomatch=NA_integer_))

Another way is:

function (x, table) match(x, table, nomatch = 0L) == 0L