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 use case : I store in a database (string format) many instructions (that can be filtered if needed) and apply these instructions to one or several data frames.
For example :
dplyr::tibble(test = "test@test") %>%
dplyr::mutate_(.dots = list("test2" = "substr(test, 1, 5)",
"test3" = "substr(test, 5, 5)"))
Is there a way to do this with dplyr 0.7 keeping variables and instructions as character?
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@ @