I want to filter my training data against a list of variables, and remove variables with a certain amount of NA values. I can select those variables if I pass them to vars(names(. . .)), but I can't use a negative to remove the same variables.
Why doesn't this work? What is the tidy way to do this?
I often use the select helper one_of() (or -one_of()) in a situation like this.
one_of()
-one_of()
Some pseudo-code:
train %>% select_at(vars(-one_of(names(...))))
where you replace ... with your dataset/condition for choosing the names.
...