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

How about:

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

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

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'))