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arrange() orders the rows of a data frame by the values of selected columns.

Unlike other dplyr verbs, arrange() largely ignores grouping; you need to explicitly mention grouping variables (or use .by_group = TRUE) in order to group by them, and functions of variables are evaluated once per data frame, not once per group.

Usage

arrange(.data, ..., .by_group = FALSE)

Arguments

.data

A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for more details.

...

<data-masking> Variables, or functions of variables. Use desc() to sort a variable in descending order.

.by_group

If TRUE, will sort first by grouping variable. Applies to grouped data frames only.

Value

An object of the same type as .data. The output has the following properties:

  • All rows appear in the output, but (usually) in a different place.

  • Columns are not modified.

  • Groups are not modified.

  • Data frame attributes are preserved.

Details

Locales

The sort order for character vectors will depend on the collating sequence of the locale in use: see locales().

Missing values

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.

Methods

This function is a generic, which means that packages can provide implementations (methods) for other classes. See the documentation of individual methods for extra arguments and differences in behaviour.

The following methods are currently available in loaded packages: dplyr (data.frame) .

See also

Other single table verbs: filter(), mutate(), rename(), select(), slice(), summarise()

Examples

arrange(mtcars, cyl, disp)
#>                      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#> Toyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1
#> Honda Civic         30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2
#> Fiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1
#> Fiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1
#> Lotus Europa        30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2
#> Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
#> Toyota Corona       21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1
#> Porsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2
#> Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2
#> Merc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2
#> Merc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
#> Ferrari Dino        19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6
#> Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
#> Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
#> Merc 280            19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4
#> Merc 280C           17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4
#> Valiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
#> Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
#> Merc 450SE          16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3
#> Merc 450SL          17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3
#> Merc 450SLC         15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3
#> Maserati Bora       15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8
#> AMC Javelin         15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2
#> Dodge Challenger    15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2
#> Camaro Z28          13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4
#> Ford Pantera L      15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4
#> Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
#> Duster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4
#> Pontiac Firebird    19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2
#> Chrysler Imperial   14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4
#> Lincoln Continental 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4
#> Cadillac Fleetwood  10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4
arrange(mtcars, desc(disp))
#>                      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#> Cadillac Fleetwood  10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4
#> Lincoln Continental 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4
#> Chrysler Imperial   14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4
#> Pontiac Firebird    19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2
#> Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
#> Duster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4
#> Ford Pantera L      15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4
#> Camaro Z28          13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4
#> Dodge Challenger    15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2
#> AMC Javelin         15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2
#> Maserati Bora       15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8
#> Merc 450SE          16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3
#> Merc 450SL          17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3
#> Merc 450SLC         15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3
#> Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
#> Valiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
#> Merc 280            19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4
#> Merc 280C           17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4
#> Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
#> Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
#> Merc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
#> Ferrari Dino        19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6
#> Merc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2
#> Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2
#> Porsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2
#> Toyota Corona       21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1
#> Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
#> Lotus Europa        30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2
#> Fiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1
#> Fiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1
#> Honda Civic         30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2
#> Toyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1

# grouped arrange ignores groups
by_cyl <- mtcars %>% group_by(cyl)
by_cyl %>% arrange(desc(wt))
#> # A tibble: 32 × 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
# Unless you specifically ask:
by_cyl %>% arrange(desc(wt), .by_group = TRUE)
#> # A tibble: 32 × 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

# use embracing when wrapping in a function;
# see ?dplyr_data_masking for more details
tidy_eval_arrange <- function(.data, var) {
  .data %>%
    arrange({{ var }})
}
tidy_eval_arrange(mtcars, mpg)
#>                      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#> Cadillac Fleetwood  10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4
#> Lincoln Continental 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4
#> Camaro Z28          13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4
#> Duster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4
#> Chrysler Imperial   14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4
#> Maserati Bora       15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8
#> Merc 450SLC         15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3
#> AMC Javelin         15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2
#> Dodge Challenger    15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2
#> Ford Pantera L      15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4
#> Merc 450SE          16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3
#> Merc 450SL          17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3
#> Merc 280C           17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4
#> Valiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
#> Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
#> Merc 280            19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4
#> Pontiac Firebird    19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2
#> Ferrari Dino        19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6
#> Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
#> Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
#> Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
#> Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2
#> Toyota Corona       21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1
#> Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
#> Merc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2
#> Merc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
#> Porsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2
#> Fiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1
#> Honda Civic         30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2
#> Lotus Europa        30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2
#> Fiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1
#> Toyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1

# use across() access select()-style semantics
iris %>% arrange(across(starts_with("Sepal")))
#>     Sepal.Length Sepal.Width Petal.Length Petal.Width    Species
#> 1            4.3         3.0          1.1         0.1     setosa
#> 2            4.4         2.9          1.4         0.2     setosa
#> 3            4.4         3.0          1.3         0.2     setosa
#> 4            4.4         3.2          1.3         0.2     setosa
#> 5            4.5         2.3          1.3         0.3     setosa
#> 6            4.6         3.1          1.5         0.2     setosa
#> 7            4.6         3.2          1.4         0.2     setosa
#> 8            4.6         3.4          1.4         0.3     setosa
#> 9            4.6         3.6          1.0         0.2     setosa
#> 10           4.7         3.2          1.3         0.2     setosa
#> 11           4.7         3.2          1.6         0.2     setosa
#> 12           4.8         3.0          1.4         0.1     setosa
#> 13           4.8         3.0          1.4         0.3     setosa
#> 14           4.8         3.1          1.6         0.2     setosa
#> 15           4.8         3.4          1.6         0.2     setosa
#> 16           4.8         3.4          1.9         0.2     setosa
#> 17           4.9         2.4          3.3         1.0 versicolor
#> 18           4.9         2.5          4.5         1.7  virginica
#> 19           4.9         3.0          1.4         0.2     setosa
#> 20           4.9         3.1          1.5         0.1     setosa
#> 21           4.9         3.1          1.5         0.2     setosa
#> 22           4.9         3.6          1.4         0.1     setosa
#> 23           5.0         2.0          3.5         1.0 versicolor
#> 24           5.0         2.3          3.3         1.0 versicolor
#> 25           5.0         3.0          1.6         0.2     setosa
#> 26           5.0         3.2          1.2         0.2     setosa
#> 27           5.0         3.3          1.4         0.2     setosa
#> 28           5.0         3.4          1.5         0.2     setosa
#> 29           5.0         3.4          1.6         0.4     setosa
#> 30           5.0         3.5          1.3         0.3     setosa
#> 31           5.0         3.5          1.6         0.6     setosa
#> 32           5.0         3.6          1.4         0.2     setosa
#> 33           5.1         2.5          3.0         1.1 versicolor
#> 34           5.1         3.3          1.7         0.5     setosa
#> 35           5.1         3.4          1.5         0.2     setosa
#> 36           5.1         3.5          1.4         0.2     setosa
#> 37           5.1         3.5          1.4         0.3     setosa
#> 38           5.1         3.7          1.5         0.4     setosa
#> 39           5.1         3.8          1.5         0.3     setosa
#> 40           5.1         3.8          1.9         0.4     setosa
#> 41           5.1         3.8          1.6         0.2     setosa
#> 42           5.2         2.7          3.9         1.4 versicolor
#> 43           5.2         3.4          1.4         0.2     setosa
#> 44           5.2         3.5          1.5         0.2     setosa
#> 45           5.2         4.1          1.5         0.1     setosa
#> 46           5.3         3.7          1.5         0.2     setosa
#> 47           5.4         3.0          4.5         1.5 versicolor
#> 48           5.4         3.4          1.7         0.2     setosa
#> 49           5.4         3.4          1.5         0.4     setosa
#> 50           5.4         3.7          1.5         0.2     setosa
#> 51           5.4         3.9          1.7         0.4     setosa
#> 52           5.4         3.9          1.3         0.4     setosa
#> 53           5.5         2.3          4.0         1.3 versicolor
#> 54           5.5         2.4          3.8         1.1 versicolor
#> 55           5.5         2.4          3.7         1.0 versicolor
#> 56           5.5         2.5          4.0         1.3 versicolor
#> 57           5.5         2.6          4.4         1.2 versicolor
#> 58           5.5         3.5          1.3         0.2     setosa
#> 59           5.5         4.2          1.4         0.2     setosa
#> 60           5.6         2.5          3.9         1.1 versicolor
#> 61           5.6         2.7          4.2         1.3 versicolor
#> 62           5.6         2.8          4.9         2.0  virginica
#> 63           5.6         2.9          3.6         1.3 versicolor
#> 64           5.6         3.0          4.5         1.5 versicolor
#> 65           5.6         3.0          4.1         1.3 versicolor
#> 66           5.7         2.5          5.0         2.0  virginica
#> 67           5.7         2.6          3.5         1.0 versicolor
#> 68           5.7         2.8          4.5         1.3 versicolor
#> 69           5.7         2.8          4.1         1.3 versicolor
#> 70           5.7         2.9          4.2         1.3 versicolor
#> 71           5.7         3.0          4.2         1.2 versicolor
#> 72           5.7         3.8          1.7         0.3     setosa
#> 73           5.7         4.4          1.5         0.4     setosa
#> 74           5.8         2.6          4.0         1.2 versicolor
#> 75           5.8         2.7          4.1         1.0 versicolor
#> 76           5.8         2.7          3.9         1.2 versicolor
#> 77           5.8         2.7          5.1         1.9  virginica
#> 78           5.8         2.7          5.1         1.9  virginica
#> 79           5.8         2.8          5.1         2.4  virginica
#> 80           5.8         4.0          1.2         0.2     setosa
#> 81           5.9         3.0          4.2         1.5 versicolor
#> 82           5.9         3.0          5.1         1.8  virginica
#> 83           5.9         3.2          4.8         1.8 versicolor
#> 84           6.0         2.2          4.0         1.0 versicolor
#> 85           6.0         2.2          5.0         1.5  virginica
#> 86           6.0         2.7          5.1         1.6 versicolor
#> 87           6.0         2.9          4.5         1.5 versicolor
#> 88           6.0         3.0          4.8         1.8  virginica
#> 89           6.0         3.4          4.5         1.6 versicolor
#> 90           6.1         2.6          5.6         1.4  virginica
#> 91           6.1         2.8          4.0         1.3 versicolor
#> 92           6.1         2.8          4.7         1.2 versicolor
#> 93           6.1         2.9          4.7         1.4 versicolor
#> 94           6.1         3.0          4.6         1.4 versicolor
#> 95           6.1         3.0          4.9         1.8  virginica
#> 96           6.2         2.2          4.5         1.5 versicolor
#> 97           6.2         2.8          4.8         1.8  virginica
#> 98           6.2         2.9          4.3         1.3 versicolor
#> 99           6.2         3.4          5.4         2.3  virginica
#> 100          6.3         2.3          4.4         1.3 versicolor
#> 101          6.3         2.5          4.9         1.5 versicolor
#> 102          6.3         2.5          5.0         1.9  virginica
#> 103          6.3         2.7          4.9         1.8  virginica
#> 104          6.3         2.8          5.1         1.5  virginica
#> 105          6.3         2.9          5.6         1.8  virginica
#> 106          6.3         3.3          4.7         1.6 versicolor
#> 107          6.3         3.3          6.0         2.5  virginica
#> 108          6.3         3.4          5.6         2.4  virginica
#> 109          6.4         2.7          5.3         1.9  virginica
#> 110          6.4         2.8          5.6         2.1  virginica
#> 111          6.4         2.8          5.6         2.2  virginica
#> 112          6.4         2.9          4.3         1.3 versicolor
#> 113          6.4         3.1          5.5         1.8  virginica
#> 114          6.4         3.2          4.5         1.5 versicolor
#> 115          6.4         3.2          5.3         2.3  virginica
#> 116          6.5         2.8          4.6         1.5 versicolor
#> 117          6.5         3.0          5.8         2.2  virginica
#> 118          6.5         3.0          5.5         1.8  virginica
#> 119          6.5         3.0          5.2         2.0  virginica
#> 120          6.5         3.2          5.1         2.0  virginica
#> 121          6.6         2.9          4.6         1.3 versicolor
#> 122          6.6         3.0          4.4         1.4 versicolor
#> 123          6.7         2.5          5.8         1.8  virginica
#> 124          6.7         3.0          5.0         1.7 versicolor
#> 125          6.7         3.0          5.2         2.3  virginica
#> 126          6.7         3.1          4.4         1.4 versicolor
#> 127          6.7         3.1          4.7         1.5 versicolor
#> 128          6.7         3.1          5.6         2.4  virginica
#> 129          6.7         3.3          5.7         2.1  virginica
#> 130          6.7         3.3          5.7         2.5  virginica
#> 131          6.8         2.8          4.8         1.4 versicolor
#> 132          6.8         3.0          5.5         2.1  virginica
#> 133          6.8         3.2          5.9         2.3  virginica
#> 134          6.9         3.1          4.9         1.5 versicolor
#> 135          6.9         3.1          5.4         2.1  virginica
#> 136          6.9         3.1          5.1         2.3  virginica
#> 137          6.9         3.2          5.7         2.3  virginica
#> 138          7.0         3.2          4.7         1.4 versicolor
#> 139          7.1         3.0          5.9         2.1  virginica
#> 140          7.2         3.0          5.8         1.6  virginica
#> 141          7.2         3.2          6.0         1.8  virginica
#> 142          7.2         3.6          6.1         2.5  virginica
#> 143          7.3         2.9          6.3         1.8  virginica
#> 144          7.4         2.8          6.1         1.9  virginica
#> 145          7.6         3.0          6.6         2.1  virginica
#> 146          7.7         2.6          6.9         2.3  virginica
#> 147          7.7         2.8          6.7         2.0  virginica
#> 148          7.7         3.0          6.1         2.3  virginica
#> 149          7.7         3.8          6.7         2.2  virginica
#> 150          7.9         3.8          6.4         2.0  virginica
iris %>% arrange(across(starts_with("Sepal"), desc))
#>     Sepal.Length Sepal.Width Petal.Length Petal.Width    Species
#> 1            7.9         3.8          6.4         2.0  virginica
#> 2            7.7         3.8          6.7         2.2  virginica
#> 3            7.7         3.0          6.1         2.3  virginica
#> 4            7.7         2.8          6.7         2.0  virginica
#> 5            7.7         2.6          6.9         2.3  virginica
#> 6            7.6         3.0          6.6         2.1  virginica
#> 7            7.4         2.8          6.1         1.9  virginica
#> 8            7.3         2.9          6.3         1.8  virginica
#> 9            7.2         3.6          6.1         2.5  virginica
#> 10           7.2         3.2          6.0         1.8  virginica
#> 11           7.2         3.0          5.8         1.6  virginica
#> 12           7.1         3.0          5.9         2.1  virginica
#> 13           7.0         3.2          4.7         1.4 versicolor
#> 14           6.9         3.2          5.7         2.3  virginica
#> 15           6.9         3.1          4.9         1.5 versicolor
#> 16           6.9         3.1          5.4         2.1  virginica
#> 17           6.9         3.1          5.1         2.3  virginica
#> 18           6.8         3.2          5.9         2.3  virginica
#> 19           6.8         3.0          5.5         2.1  virginica
#> 20           6.8         2.8          4.8         1.4 versicolor
#> 21           6.7         3.3          5.7         2.1  virginica
#> 22           6.7         3.3          5.7         2.5  virginica
#> 23           6.7         3.1          4.4         1.4 versicolor
#> 24           6.7         3.1          4.7         1.5 versicolor
#> 25           6.7         3.1          5.6         2.4  virginica
#> 26           6.7         3.0          5.0         1.7 versicolor
#> 27           6.7         3.0          5.2         2.3  virginica
#> 28           6.7         2.5          5.8         1.8  virginica
#> 29           6.6         3.0          4.4         1.4 versicolor
#> 30           6.6         2.9          4.6         1.3 versicolor
#> 31           6.5         3.2          5.1         2.0  virginica
#> 32           6.5         3.0          5.8         2.2  virginica
#> 33           6.5         3.0          5.5         1.8  virginica
#> 34           6.5         3.0          5.2         2.0  virginica
#> 35           6.5         2.8          4.6         1.5 versicolor
#> 36           6.4         3.2          4.5         1.5 versicolor
#> 37           6.4         3.2          5.3         2.3  virginica
#> 38           6.4         3.1          5.5         1.8  virginica
#> 39           6.4         2.9          4.3         1.3 versicolor
#> 40           6.4         2.8          5.6         2.1  virginica
#> 41           6.4         2.8          5.6         2.2  virginica
#> 42           6.4         2.7          5.3         1.9  virginica
#> 43           6.3         3.4          5.6         2.4  virginica
#> 44           6.3         3.3          4.7         1.6 versicolor
#> 45           6.3         3.3          6.0         2.5  virginica
#> 46           6.3         2.9          5.6         1.8  virginica
#> 47           6.3         2.8          5.1         1.5  virginica
#> 48           6.3         2.7          4.9         1.8  virginica
#> 49           6.3         2.5          4.9         1.5 versicolor
#> 50           6.3         2.5          5.0         1.9  virginica
#> 51           6.3         2.3          4.4         1.3 versicolor
#> 52           6.2         3.4          5.4         2.3  virginica
#> 53           6.2         2.9          4.3         1.3 versicolor
#> 54           6.2         2.8          4.8         1.8  virginica
#> 55           6.2         2.2          4.5         1.5 versicolor
#> 56           6.1         3.0          4.6         1.4 versicolor
#> 57           6.1         3.0          4.9         1.8  virginica
#> 58           6.1         2.9          4.7         1.4 versicolor
#> 59           6.1         2.8          4.0         1.3 versicolor
#> 60           6.1         2.8          4.7         1.2 versicolor
#> 61           6.1         2.6          5.6         1.4  virginica
#> 62           6.0         3.4          4.5         1.6 versicolor
#> 63           6.0         3.0          4.8         1.8  virginica
#> 64           6.0         2.9          4.5         1.5 versicolor
#> 65           6.0         2.7          5.1         1.6 versicolor
#> 66           6.0         2.2          4.0         1.0 versicolor
#> 67           6.0         2.2          5.0         1.5  virginica
#> 68           5.9         3.2          4.8         1.8 versicolor
#> 69           5.9         3.0          4.2         1.5 versicolor
#> 70           5.9         3.0          5.1         1.8  virginica
#> 71           5.8         4.0          1.2         0.2     setosa
#> 72           5.8         2.8          5.1         2.4  virginica
#> 73           5.8         2.7          4.1         1.0 versicolor
#> 74           5.8         2.7          3.9         1.2 versicolor
#> 75           5.8         2.7          5.1         1.9  virginica
#> 76           5.8         2.7          5.1         1.9  virginica
#> 77           5.8         2.6          4.0         1.2 versicolor
#> 78           5.7         4.4          1.5         0.4     setosa
#> 79           5.7         3.8          1.7         0.3     setosa
#> 80           5.7         3.0          4.2         1.2 versicolor
#> 81           5.7         2.9          4.2         1.3 versicolor
#> 82           5.7         2.8          4.5         1.3 versicolor
#> 83           5.7         2.8          4.1         1.3 versicolor
#> 84           5.7         2.6          3.5         1.0 versicolor
#> 85           5.7         2.5          5.0         2.0  virginica
#> 86           5.6         3.0          4.5         1.5 versicolor
#> 87           5.6         3.0          4.1         1.3 versicolor
#> 88           5.6         2.9          3.6         1.3 versicolor
#> 89           5.6         2.8          4.9         2.0  virginica
#> 90           5.6         2.7          4.2         1.3 versicolor
#> 91           5.6         2.5          3.9         1.1 versicolor
#> 92           5.5         4.2          1.4         0.2     setosa
#> 93           5.5         3.5          1.3         0.2     setosa
#> 94           5.5         2.6          4.4         1.2 versicolor
#> 95           5.5         2.5          4.0         1.3 versicolor
#> 96           5.5         2.4          3.8         1.1 versicolor
#> 97           5.5         2.4          3.7         1.0 versicolor
#> 98           5.5         2.3          4.0         1.3 versicolor
#> 99           5.4         3.9          1.7         0.4     setosa
#> 100          5.4         3.9          1.3         0.4     setosa
#> 101          5.4         3.7          1.5         0.2     setosa
#> 102          5.4         3.4          1.7         0.2     setosa
#> 103          5.4         3.4          1.5         0.4     setosa
#> 104          5.4         3.0          4.5         1.5 versicolor
#> 105          5.3         3.7          1.5         0.2     setosa
#> 106          5.2         4.1          1.5         0.1     setosa
#> 107          5.2         3.5          1.5         0.2     setosa
#> 108          5.2         3.4          1.4         0.2     setosa
#> 109          5.2         2.7          3.9         1.4 versicolor
#> 110          5.1         3.8          1.5         0.3     setosa
#> 111          5.1         3.8          1.9         0.4     setosa
#> 112          5.1         3.8          1.6         0.2     setosa
#> 113          5.1         3.7          1.5         0.4     setosa
#> 114          5.1         3.5          1.4         0.2     setosa
#> 115          5.1         3.5          1.4         0.3     setosa
#> 116          5.1         3.4          1.5         0.2     setosa
#> 117          5.1         3.3          1.7         0.5     setosa
#> 118          5.1         2.5          3.0         1.1 versicolor
#> 119          5.0         3.6          1.4         0.2     setosa
#> 120          5.0         3.5          1.3         0.3     setosa
#> 121          5.0         3.5          1.6         0.6     setosa
#> 122          5.0         3.4          1.5         0.2     setosa
#> 123          5.0         3.4          1.6         0.4     setosa
#> 124          5.0         3.3          1.4         0.2     setosa
#> 125          5.0         3.2          1.2         0.2     setosa
#> 126          5.0         3.0          1.6         0.2     setosa
#> 127          5.0         2.3          3.3         1.0 versicolor
#> 128          5.0         2.0          3.5         1.0 versicolor
#> 129          4.9         3.6          1.4         0.1     setosa
#> 130          4.9         3.1          1.5         0.1     setosa
#> 131          4.9         3.1          1.5         0.2     setosa
#> 132          4.9         3.0          1.4         0.2     setosa
#> 133          4.9         2.5          4.5         1.7  virginica
#> 134          4.9         2.4          3.3         1.0 versicolor
#> 135          4.8         3.4          1.6         0.2     setosa
#> 136          4.8         3.4          1.9         0.2     setosa
#> 137          4.8         3.1          1.6         0.2     setosa
#> 138          4.8         3.0          1.4         0.1     setosa
#> 139          4.8         3.0          1.4         0.3     setosa
#> 140          4.7         3.2          1.3         0.2     setosa
#> 141          4.7         3.2          1.6         0.2     setosa
#> 142          4.6         3.6          1.0         0.2     setosa
#> 143          4.6         3.4          1.4         0.3     setosa
#> 144          4.6         3.2          1.4         0.2     setosa
#> 145          4.6         3.1          1.5         0.2     setosa
#> 146          4.5         2.3          1.3         0.3     setosa
#> 147          4.4         3.2          1.3         0.2     setosa
#> 148          4.4         3.0          1.3         0.2     setosa
#> 149          4.4         2.9          1.4         0.2     setosa
#> 150          4.3         3.0          1.1         0.1     setosa