Just trying to play with functions and infixes, I was trying to create a symbol to represent the dplyr::everything.
Below is an example, but I also tried with special characters as @ and >>.
library(tidyverse)
data(mtcars)
mtcars %>%
as_tibble(rownames = "cars") -> mtcars
`%aa%` <<- function(vars=NULL) dplyr::everything(vars=NULL)
mtcars %>%
select(carb, everything)
#> Error: Can't subset columns that don't exist.
#> x Column `everything` doesn't exist.
mtcars %>%
select(carb, everything())
#> # A tibble: 32 x 12
#> carb cars mpg cyl disp hp drat wt qsec vs am gear
#> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 4 Mazda RX4 21 6 160 110 3.9 2.62 16.5 0 1 4
#> 2 4 Mazda RX4 … 21 6 160 110 3.9 2.88 17.0 0 1 4
#> 3 1 Datsun 710 22.8 4 108 93 3.85 2.32 18.6 1 1 4
#> 4 1 Hornet 4 D… 21.4 6 258 110 3.08 3.22 19.4 1 0 3
#> 5 2 Hornet Spo… 18.7 8 360 175 3.15 3.44 17.0 0 0 3
#> 6 1 Valiant 18.1 6 225 105 2.76 3.46 20.2 1 0 3
#> 7 4 Duster 360 14.3 8 360 245 3.21 3.57 15.8 0 0 3
#> 8 2 Merc 240D 24.4 4 147. 62 3.69 3.19 20 1 0 4
#> 9 2 Merc 230 22.8 4 141. 95 3.92 3.15 22.9 1 0 4
#> 10 4 Merc 280 19.2 6 168. 123 3.92 3.44 18.3 1 0 4
#> # … with 22 more rows
Didn’t work, and reprex dosen’t allow me render ir, but it is another issue
# mtcars %>%
# select(carb, %aa% )
#
# mtcars %>%
# select(carb, %aa%() )
shurely this worked better, or not
mtcars %>%
select(carb, `%aa%` )
#> Error: Can't subset columns that don't exist.
#> x Column `%aa%` doesn't exist.
mtcars %>%
select(carb, `%aa%`() )
#> # A tibble: 32 x 12
#> carb cars mpg cyl disp hp drat wt qsec vs am gear
#> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 4 Mazda RX4 21 6 160 110 3.9 2.62 16.5 0 1 4
#> 2 4 Mazda RX4 … 21 6 160 110 3.9 2.88 17.0 0 1 4
#> 3 1 Datsun 710 22.8 4 108 93 3.85 2.32 18.6 1 1 4
#> 4 1 Hornet 4 D… 21.4 6 258 110 3.08 3.22 19.4 1 0 3
#> 5 2 Hornet Spo… 18.7 8 360 175 3.15 3.44 17.0 0 0 3
#> 6 1 Valiant 18.1 6 225 105 2.76 3.46 20.2 1 0 3
#> 7 4 Duster 360 14.3 8 360 245 3.21 3.57 15.8 0 0 3
#> 8 2 Merc 240D 24.4 4 147. 62 3.69 3.19 20 1 0 4
#> 9 2 Merc 230 22.8 4 141. 95 3.92 3.15 22.9 1 0 4
#> 10 4 Merc 280 19.2 6 168. 123 3.92 3.44 18.3 1 0 4
#> # … with 22 more rows
Created on 2020-12-10 by the reprex package (v0.3.0)
It isn't possible to do or I'm doing something wrong?
Thanks in advance.
If you really want to use an infix operator, you would have to pass two unused symbols (one on either side) to get it through the parser. You can have a sort of pseudo zero-argument infix this way, by using the symbol . as a dummy variable.
library(dplyr)
`%.%` <- function(a, b) everything()
mtcars %>%
select(carb, .%.%.)
#> carb mpg cyl disp hp drat wt qsec vs am gear
#> Mazda RX4 4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4
#> Mazda RX4 Wag 4 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4
#> Datsun 710 1 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4
#> Hornet 4 Drive 1 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3
#> Hornet Sportabout 2 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3
#> Valiant 1 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3
#> Duster 360 4 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3
#> Merc 240D 2 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4
#> Merc 230 2 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4
#> Merc 280 4 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4
#> Merc 280C 4 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4
#> Merc 450SE 3 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3
#> Merc 450SL 3 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3
#> Merc 450SLC 3 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3
#> Cadillac Fleetwood 4 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3
#> Lincoln Continental 4 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3
#> Chrysler Imperial 4 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3
#> Fiat 128 1 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4
#> Honda Civic 2 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4
#> Toyota Corolla 1 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4
#> Toyota Corona 1 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3
#> Dodge Challenger 2 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3
#> AMC Javelin 2 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3
#> Camaro Z28 4 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3
#> Pontiac Firebird 2 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3
#> Fiat X1-9 1 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4
#> Porsche 914-2 2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5
#> Lotus Europa 2 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5
#> Ford Pantera L 4 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5
#> Ferrari Dino 6 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5
#> Maserati Bora 8 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5
#> Volvo 142E 2 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4