`dt_case_when.Rd`

Does what `dplyr::case_when()`

does, with the same syntax, but with
`data.table::fifelse()`

under the hood

dt_case_when(...)

... | statements of the form: |
---|

#> [1] "low" "high" "low" "low" "high" "high" "low" "low" "low" "low" #> [11] "low" "high" "high" "low" "high" "low" "low" "low" "high" "low" #> [21] "high" "high" "low" "high" "high" "low" "low" "low" "low" "low" #> [31] "high" "high" "high" "high" "high" "low" "low" "low" "low" "high" #> [41] "low" "low" "low" "low" "high" "high" "low" "high" "high" "low" #> [51] "high" "low" "low" "low" "low" "high" "low" "high" "low" "high" #> [61] "high" "low" "high" "low" "low" "low" "high" "high" "high" "low" #> [71] "low" "high" "high" "high" "high" "high" "high" "low" "high" "low" #> [81] "high" "high" "high" "high" "low" "high" "low" "low" "high" "low" #> [91] "high" "high" "high" "low" "high" "high" "low" "high" "high" "low"library(data.table) temp <- data.table(pseudo_id = c(1, 2, 3, 4, 5), x = sample(1:5, 5, replace = TRUE)) temp[, y := dt_case_when(pseudo_id == 1 ~ x * 1, pseudo_id == 2 ~ x * 2, pseudo_id == 3 ~ x * 3, pseudo_id == 4 ~ x * 4, pseudo_id == 5 ~ x * 5)]#> pseudo_id x y #> 1: 1 4 4 #> 2: 2 4 8 #> 3: 3 3 9 #> 4: 4 4 16 #> 5: 5 1 5