Use of any_of() within case_when()

Thanks, that did help. For anyone finding this post in the future, the following code was actually the correct answer and worked for my case:

library(tidyverse)

df <- mtcars %>% 
  select(any_of(c("columns", "that", "maynot", "exist", "cyl", "gear"))
  )

mtcars %>%
  mutate(speed=ifelse(rowSums(df==4, na.rm = TRUE)>0, "fast", "slow"))