Order tbl rows by an expression involving its variables.
arrange(.data, ...) # S3 method for grouped_df arrange(.data, ..., .by_group = FALSE)
| .data | A tbl. All main verbs are S3 generics and provide methods
for |
|---|---|
| ... | Comma separated list of unquoted variable names, or expressions
involving variable names. Use |
| .by_group | If |
An object of the same class as .data.
The sort order for character vectors will depend on the collating sequence
of the locale in use: see locales().
Unlike base sorting with sort(), NA are:
always sorted to the end for local data, even when wrapped with desc().
treated differently for remote data, depending on the backend.
When applied to a data frame, row names are silently dropped. To preserve,
convert to an explicit variable with tibble::rownames_to_column().
arrange(mtcars, cyl, disp)#> mpg cyl disp hp drat wt qsec vs am gear carb #> 1 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1 #> 2 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 #> 3 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 #> 4 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 #> 5 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 #> 6 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 #> 7 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 #> 8 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 #> 9 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 #> 10 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 #> 11 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 #> 12 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 #> 13 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 #> 14 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 #> 15 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 #> 16 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 #> 17 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 #> 18 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 #> 19 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 #> 20 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 #> 21 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 #> 22 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 #> 23 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 #> 24 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 #> 25 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 #> 26 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 #> 27 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 #> 28 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 #> 29 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 #> 30 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 #> 31 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 #> 32 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4#> mpg cyl disp hp drat wt qsec vs am gear carb #> 1 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4 #> 2 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4 #> 3 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4 #> 4 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2 #> 5 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 #> 6 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 #> 7 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4 #> 8 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4 #> 9 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2 #> 10 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2 #> 11 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8 #> 12 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3 #> 13 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3 #> 14 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3 #> 15 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 #> 16 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 #> 17 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4 #> 18 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4 #> 19 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 #> 20 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 #> 21 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 #> 22 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6 #> 23 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 #> 24 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2 #> 25 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2 #> 26 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1 #> 27 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 #> 28 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2 #> 29 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1 #> 30 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1 #> 31 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2 #> 32 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1#> # A tibble: 32 x 11 #> # Groups: cyl [3] #> mpg cyl disp hp drat wt qsec vs am gear carb #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 10.4 8 460 215 3 5.42 17.8 0 0 3 4 #> 2 14.7 8 440 230 3.23 5.34 17.4 0 0 3 4 #> 3 10.4 8 472 205 2.93 5.25 18.0 0 0 3 4 #> 4 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3 #> 5 19.2 8 400 175 3.08 3.84 17.0 0 0 3 2 #> 6 13.3 8 350 245 3.73 3.84 15.4 0 0 3 4 #> 7 15.2 8 276. 180 3.07 3.78 18 0 0 3 3 #> 8 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3 #> 9 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 #> 10 15 8 301 335 3.54 3.57 14.6 0 1 5 8 #> # … with 22 more rows#> # A tibble: 32 x 11 #> # Groups: cyl [3] #> mpg cyl disp hp drat wt qsec vs am gear carb #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 #> 2 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 #> 3 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2 #> 4 21.5 4 120. 97 3.7 2.46 20.0 1 0 3 1 #> 5 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 #> 6 32.4 4 78.7 66 4.08 2.2 19.5 1 1 4 1 #> 7 26 4 120. 91 4.43 2.14 16.7 0 1 5 2 #> 8 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1 #> 9 33.9 4 71.1 65 4.22 1.84 19.9 1 1 4 1 #> 10 30.4 4 75.7 52 4.93 1.62 18.5 1 1 4 2 #> # … with 22 more rows