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moodymudskipper revised this gist
May 6, 2022 . 1 changed file with 1 addition and 2 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -10,7 +10,6 @@ mtcars %>% select( wt, abc(starts_with("c"), contains("a")), abc(contains("s"), desc = TRUE), everything() ) @@ -27,4 +26,4 @@ mtcars %>% #> 8 3.19 0 2 4 3.69 4 1 20 147. 24.4 62 #> 9 3.15 0 2 4 3.92 4 1 22.9 141. 22.8 95 #> 10 3.44 0 4 6 3.92 4 1 18.3 168. 19.2 123 #> # … with 22 more rows -
moodymudskipper created this gist
May 6, 2022 .There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,30 @@ abc <- function(..., desc = FALSE) { data <- tidyselect::peek_data() named_selection <- tidyselect::eval_select(rlang::expr(c(...)), data) named_selection[order(names(named_selection), named_selection, decreasing = desc)] } library(dplyr, w = F) mtcars %>% as_tibble() %>% select( wt, abc(starts_with("c"), contains("a")), abc(starts_with("c"), contains("a")), abc(contains("s"), desc = TRUE), everything() ) #> # A tibble: 32 × 11 #> wt am carb cyl drat gear vs qsec disp mpg hp #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 2.62 1 4 6 3.9 4 0 16.5 160 21 110 #> 2 2.88 1 4 6 3.9 4 0 17.0 160 21 110 #> 3 2.32 1 1 4 3.85 4 1 18.6 108 22.8 93 #> 4 3.22 0 1 6 3.08 3 1 19.4 258 21.4 110 #> 5 3.44 0 2 8 3.15 3 0 17.0 360 18.7 175 #> 6 3.46 0 1 6 2.76 3 1 20.2 225 18.1 105 #> 7 3.57 0 4 8 3.21 3 0 15.8 360 14.3 245 #> 8 3.19 0 2 4 3.69 4 1 20 147. 24.4 62 #> 9 3.15 0 2 4 3.92 4 1 22.9 141. 22.8 95 #> 10 3.44 0 4 6 3.92 4 1 18.3 168. 19.2 123 #> # … with 22 more rows