dplyr 0.7 equivalent for deprecated mutate_

Question

I cannot find in dplyr 0.7 a way to replace the mutate_ function which is going to be deprecated.

The mutate_ function is useful in my

Answer 1

To expand a little bit on MrFlick's example, let's assume you have a number of instructions stored as strings, as well as the corresponding names that you want to assign to the resulting computations:

ln <- list( "test2", "test3" )
lf <- list( "substr(test, 1, 5)", "substr(test, 5, 5)" )

Match up names to their instructions and convert everything to quosures:

ll <- setNames( lf, ln ) %>% lapply( rlang::parse_quosure )

As per aosmith's suggestion, the entire list can now be passed to mutate, using the special !!! operator:

tibble( test = "test@test" ) %>% mutate( !!! ll )
# # A tibble: 1 x 3
#        test test2 test3
#       <chr> <chr> <chr>
# 1 test@test test@     @

Answer 2

Here's one alternative

a <- "test2"
b <- "test3"
dplyr::tibble(test = "test@test") %>% 
dplyr::mutate(a := !!rlang::parse_expr("substr(test, 1, 5)"),
  b := !!rlang::parse_expr("substr(test, 5, 5)"))
# # A tibble: 1 x 3
#        test     a     b
#       <chr> <chr> <chr>
# 1 test@test test@     @

We use the := operator to dynamically name parameters with strings, and we parse the expression string for the transformation and unwrap it with !!