Mauro Lepore maurolepore
maurolepore
/ summarise_with.R
Created
August 17, 2020 16:33
— forked from vintented/summarise_with.R
Thanks for the suggestion. I needed to added the .group parameter because otherwise some functions like sum will perhaps not behave as intended. Interested to hear your thoughts.
This file contains 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 characters
| library(dplyr, warn.conflicts = FALSE) | |
| library(rlang) | |
| summarise_with <- function(.data, ..., .f, .with, .over, .group = TRUE, na.rm = TRUE) { | |
| stopifnot(rlang::is_logical(.group)) | |
| if(rlang::quo_is_symbol(rlang::enquo(.with))) { | |
| .with <- rlang::enquo(.with) | |
| } else { |
maurolepore
/ summarise_with.R
Created
August 17, 2020 16:33
— forked from vintented/summarise_with.R
Thanks for the suggestion. I needed to added the .group parameter because otherwise some functions like sum will perhaps not behave as intended. Interested to hear your thoughts.
This file contains 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 characters
| library(dplyr, warn.conflicts = FALSE) | |
| library(rlang) | |
| summarise_with <- function(.data, ..., .f, .with, .over, .group = TRUE, na.rm = TRUE) { | |
| stopifnot(rlang::is_logical(.group)) | |
| if(rlang::quo_is_symbol(rlang::enquo(.with))) { | |
| .with <- rlang::enquo(.with) | |
| } else { |
maurolepore
/ dplyr-summarise.R
Created
March 12, 2020 17:48
— forked from hadley/dplyr-summarise.R
This file contains 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 characters
| # What's the most natural way to express this code in base R? | |
| library(dplyr, warn.conflicts = FALSE) | |
| mtcars %>% | |
| group_by(cyl) %>% | |
| summarise(mean = mean(disp), n = n()) | |
| #> # A tibble: 3 x 3 | |
| #> cyl mean n | |
| #> <dbl> <dbl> <int> | |
| #> 1 4 105. 11 | |
| #> 2 6 183. 7 |