This is a method for the dplyr transmute()
generic. It is translated to
the j
argument of [.data.table
.
# S3 method for dtplyr_step transmute(.data, ...)
.data | A |
---|---|
... | <data-masking> Name-value pairs. The name gives the name of the column in the output, and the value should evaluate to a vector. |
library(dplyr, warn.conflicts = FALSE) dt <- lazy_dt(dplyr::starwars) dt %>% transmute(name, sh = paste0(species, "/", homeworld))#> Source: local data table [87 x 2] #> Call: `_DT31`[, .(name = name, sh = paste0(species, "/", homeworld))] #> #> name sh #> <chr> <chr> #> 1 Luke Skywalker Human/Tatooine #> 2 C-3PO Droid/Tatooine #> 3 R2-D2 Droid/Naboo #> 4 Darth Vader Human/Tatooine #> 5 Leia Organa Human/Alderaan #> 6 Owen Lars Human/Tatooine #> # … with 81 more rows #> #> # Use as.data.table()/as.data.frame()/as_tibble() to access results