This is a method for the dplyr dplyr::transmute() generic. It is translated to
the j argument of [.data.table.
Usage
# S3 method for class 'dtplyr_step'
transmute(.data, ...)Arguments
- .data
A
lazy_dt().- ...
<
data-masking> Name-value pairs. The name gives the name of the column in the output.The value can be:
A vector of length 1, which will be recycled to the correct length.
A vector the same length as the current group (or the whole data frame if ungrouped).
NULL, to remove the column.A data frame or tibble, to create multiple columns in the output.
Examples
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: copy(`_DT40`)[, `:=`(sh = paste0(species, "/", homeworld))][,
#> `:=`(c("height", "mass", "hair_color", "skin_color", "eye_color",
#> "birth_year", "sex", "gender", "homeworld", "species", "films",
#> "vehicles", "starships"), NULL)]
#>
#> 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
#> # ℹ 81 more rows
#>
#> # Use as.data.table()/as.data.frame()/as_tibble() to access results