Select dplyr 中除了一些列之外的所有列都没有引用
Select all but some columns in dplyr with unquoting
我想使用 select(data, -var) 但要保持 var 灵活。如果 var 使用 select(data, -!!var) (with var <- quo(var)) 的长度为 1，则此方法有效，但如果长度 > 1，则无效。有什么想法吗？
library(dplyr)
#> Warning: package 'dplyr' was built under R version 3.5.1
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
q <- quo(cyl)
mtcars %>%
select(-!!q)
#> mpg disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Datsun 710 22.8 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Hornet 4 Drive 21.4 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Hornet Sportabout 18.7 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Valiant 18.1 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Duster 360 14.3 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 240D 24.4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Merc 280 19.2 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 167.6 123 3.92 3.440 18.90 1 0 4 4
#> Merc 450SE 16.4 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Fiat 128 32.4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21.5 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Dodge Challenger 15.5 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 400.0 175 3.08 3.845 17.05 0 0 3 2
#> Fiat X1-9 27.3 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 26.0 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 30.4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Ford Pantera L 15.8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Ferrari Dino 19.7 145.0 175 3.62 2.770 15.50 0 1 5 6
#> Maserati Bora 15.0 301.0 335 3.54 3.570 14.60 0 1 5 8
#> Volvo 142E 21.4 121.0 109 4.11 2.780 18.60 1 1 4 2
q2 <- quos(cyl, wt)
mtcars %>%
select(!!!q2)
#> cyl wt
#> Mazda RX4 6 2.620
#> Mazda RX4 Wag 6 2.875
#> Datsun 710 4 2.320
#> Hornet 4 Drive 6 3.215
#> Hornet Sportabout 8 3.440
#> Valiant 6 3.460
#> Duster 360 8 3.570
#> Merc 240D 4 3.190
#> Merc 230 4 3.150
#> Merc 280 6 3.440
#> Merc 280C 6 3.440
#> Merc 450SE 8 4.070
#> Merc 450SL 8 3.730
#> Merc 450SLC 8 3.780
#> Cadillac Fleetwood 8 5.250
#> Lincoln Continental 8 5.424
#> Chrysler Imperial 8 5.345
#> Fiat 128 4 2.200
#> Honda Civic 4 1.615
#> Toyota Corolla 4 1.835
#> Toyota Corona 4 2.465
#> Dodge Challenger 8 3.520
#> AMC Javelin 8 3.435
#> Camaro Z28 8 3.840
#> Pontiac Firebird 8 3.845
#> Fiat X1-9 4 1.935
#> Porsche 914-2 4 2.140
#> Lotus Europa 4 1.513
#> Ford Pantera L 8 3.170
#> Ferrari Dino 6 2.770
#> Maserati Bora 8 3.570
#> Volvo 142E 4 2.780
mtcars %>%
select(-!!!q2)
#> Error: Can't use `!!!` at top level
由 reprex 创建于 2018-08-10
包 (v0.2.0).
您需要使用 -c(!!!q2)。就像你在不需要两个变量的地方使用 select 时一样，比如 select(-c(cyl, wt))
mtcars %>%
select(-c(!!!q2))
mpg disp hp drat qsec vs am gear carb
Mazda RX4 21.0 160.0 110 3.90 16.46 0 1 4 4
Mazda RX4 Wag 21.0 160.0 110 3.90 17.02 0 1 4 4
Datsun 710 22.8 108.0 93 3.85 18.61 1 1 4 1
我想使用 select(data, -var) 但要保持 var 灵活。如果 var 使用 select(data, -!!var) (with var <- quo(var)) 的长度为 1，则此方法有效，但如果长度 > 1，则无效。有什么想法吗？
library(dplyr)
#> Warning: package 'dplyr' was built under R version 3.5.1
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
q <- quo(cyl)
mtcars %>%
select(-!!q)
#> mpg disp hp drat wt qsec vs am gear carb
#> Mazda RX4 21.0 160.0 110 3.90 2.620 16.46 0 1 4 4
#> Mazda RX4 Wag 21.0 160.0 110 3.90 2.875 17.02 0 1 4 4
#> Datsun 710 22.8 108.0 93 3.85 2.320 18.61 1 1 4 1
#> Hornet 4 Drive 21.4 258.0 110 3.08 3.215 19.44 1 0 3 1
#> Hornet Sportabout 18.7 360.0 175 3.15 3.440 17.02 0 0 3 2
#> Valiant 18.1 225.0 105 2.76 3.460 20.22 1 0 3 1
#> Duster 360 14.3 360.0 245 3.21 3.570 15.84 0 0 3 4
#> Merc 240D 24.4 146.7 62 3.69 3.190 20.00 1 0 4 2
#> Merc 230 22.8 140.8 95 3.92 3.150 22.90 1 0 4 2
#> Merc 280 19.2 167.6 123 3.92 3.440 18.30 1 0 4 4
#> Merc 280C 17.8 167.6 123 3.92 3.440 18.90 1 0 4 4
#> Merc 450SE 16.4 275.8 180 3.07 4.070 17.40 0 0 3 3
#> Merc 450SL 17.3 275.8 180 3.07 3.730 17.60 0 0 3 3
#> Merc 450SLC 15.2 275.8 180 3.07 3.780 18.00 0 0 3 3
#> Cadillac Fleetwood 10.4 472.0 205 2.93 5.250 17.98 0 0 3 4
#> Lincoln Continental 10.4 460.0 215 3.00 5.424 17.82 0 0 3 4
#> Chrysler Imperial 14.7 440.0 230 3.23 5.345 17.42 0 0 3 4
#> Fiat 128 32.4 78.7 66 4.08 2.200 19.47 1 1 4 1
#> Honda Civic 30.4 75.7 52 4.93 1.615 18.52 1 1 4 2
#> Toyota Corolla 33.9 71.1 65 4.22 1.835 19.90 1 1 4 1
#> Toyota Corona 21.5 120.1 97 3.70 2.465 20.01 1 0 3 1
#> Dodge Challenger 15.5 318.0 150 2.76 3.520 16.87 0 0 3 2
#> AMC Javelin 15.2 304.0 150 3.15 3.435 17.30 0 0 3 2
#> Camaro Z28 13.3 350.0 245 3.73 3.840 15.41 0 0 3 4
#> Pontiac Firebird 19.2 400.0 175 3.08 3.845 17.05 0 0 3 2
#> Fiat X1-9 27.3 79.0 66 4.08 1.935 18.90 1 1 4 1
#> Porsche 914-2 26.0 120.3 91 4.43 2.140 16.70 0 1 5 2
#> Lotus Europa 30.4 95.1 113 3.77 1.513 16.90 1 1 5 2
#> Ford Pantera L 15.8 351.0 264 4.22 3.170 14.50 0 1 5 4
#> Ferrari Dino 19.7 145.0 175 3.62 2.770 15.50 0 1 5 6
#> Maserati Bora 15.0 301.0 335 3.54 3.570 14.60 0 1 5 8
#> Volvo 142E 21.4 121.0 109 4.11 2.780 18.60 1 1 4 2
q2 <- quos(cyl, wt)
mtcars %>%
select(!!!q2)
#> cyl wt
#> Mazda RX4 6 2.620
#> Mazda RX4 Wag 6 2.875
#> Datsun 710 4 2.320
#> Hornet 4 Drive 6 3.215
#> Hornet Sportabout 8 3.440
#> Valiant 6 3.460
#> Duster 360 8 3.570
#> Merc 240D 4 3.190
#> Merc 230 4 3.150
#> Merc 280 6 3.440
#> Merc 280C 6 3.440
#> Merc 450SE 8 4.070
#> Merc 450SL 8 3.730
#> Merc 450SLC 8 3.780
#> Cadillac Fleetwood 8 5.250
#> Lincoln Continental 8 5.424
#> Chrysler Imperial 8 5.345
#> Fiat 128 4 2.200
#> Honda Civic 4 1.615
#> Toyota Corolla 4 1.835
#> Toyota Corona 4 2.465
#> Dodge Challenger 8 3.520
#> AMC Javelin 8 3.435
#> Camaro Z28 8 3.840
#> Pontiac Firebird 8 3.845
#> Fiat X1-9 4 1.935
#> Porsche 914-2 4 2.140
#> Lotus Europa 4 1.513
#> Ford Pantera L 8 3.170
#> Ferrari Dino 6 2.770
#> Maserati Bora 8 3.570
#> Volvo 142E 4 2.780
mtcars %>%
select(-!!!q2)
#> Error: Can't use `!!!` at top level
由 reprex 创建于 2018-08-10 包 (v0.2.0).
您需要使用 -c(!!!q2)。就像你在不需要两个变量的地方使用 select 时一样，比如 select(-c(cyl, wt))
mtcars %>%
select(-c(!!!q2))
mpg disp hp drat qsec vs am gear carb
Mazda RX4 21.0 160.0 110 3.90 16.46 0 1 4 4
Mazda RX4 Wag 21.0 160.0 110 3.90 17.02 0 1 4 4
Datsun 710 22.8 108.0 93 3.85 18.61 1 1 4 1