How to use a variable in dplyr::filter?

Recently I have found this to be an elegant solution to this problem, although I'm just starting to wrap my head around how it works.

df %>% filter(b == !!b)

which is syntactic sugar for

df %>% filter(b == UQ(b))

A high-level sense of this is that the UQ (un-quote) operation causes its contents to be evaluated before the filter operation, so that it's not evaluated within the data.frame.

This is described in this chapter of Advanced R, on 'quasi-quotation'. This chapter also includes a few solutions to similar problems related to non-standard evaluation (NSE).

You could use the get function to fetch the value of the variable from the environment.

df %>% filter(b == get("b")) # Note the "" around b

As a general solution, you can use the SE (standard evaluation) version of filter, which is filter_. In this case, things get a bit confusing because your are mixing a variable and an 'external' constant in a single expression. Here is how you do that with the interp function:

library(lazyeval)
df %>% filter_(interp(~ b == x, x = b))

If you would like to use more values in b you can write:

df %>% filter_(interp(~ b == x, .values = list(x = b)))