I'm trying to come up with the most efficient
data.table version of an operation I typically perform using
dplyr. I have a solution, but I'm wondering if anyone has a cleaner/more efficient answer to this simple task. All I'm doing is returning a sorted vector of the unique elements in a column.
library(tibble) library(dplyr) x.tbl <- tibble( a = c("b", "a", "b", "a"), b = 1:4 ) x.tbl %>% distinct(a) %>% pull() %>% sort() #>  "a" "b"
library(data.table) x.dt <- as.data.table(x.tbl) sort(x.dt[, .N, by = a][, a]) #>  "a" "b"
Can anyone suggest a more efficient or cleaner way of doing this with
data.table? Is there an way to eliminate the
data.table chaining and wrapping in