Order the rows of a data frame rows by the values of selected columns.
arrange_dt(.data, ...)data.frame
Arrange by what group? Minus symbol means arrange by descending order.
data.table
iris %>% arrange_dt(Sepal.Length)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <num> <num> <num> <num> <fctr>
#> 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
#> ---
#> 146: 7.7 3.8 6.7 2.2 virginica
#> 147: 7.7 2.6 6.9 2.3 virginica
#> 148: 7.7 2.8 6.7 2.0 virginica
#> 149: 7.7 3.0 6.1 2.3 virginica
#> 150: 7.9 3.8 6.4 2.0 virginica
# minus for decreasing order
iris %>% arrange_dt(-Sepal.Length)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <num> <num> <num> <num> <fctr>
#> 1: 7.9 3.8 6.4 2.0 virginica
#> 2: 7.7 3.8 6.7 2.2 virginica
#> 3: 7.7 2.6 6.9 2.3 virginica
#> 4: 7.7 2.8 6.7 2.0 virginica
#> 5: 7.7 3.0 6.1 2.3 virginica
#> ---
#> 146: 4.5 2.3 1.3 0.3 setosa
#> 147: 4.4 2.9 1.4 0.2 setosa
#> 148: 4.4 3.0 1.3 0.2 setosa
#> 149: 4.4 3.2 1.3 0.2 setosa
#> 150: 4.3 3.0 1.1 0.1 setosa
# arrange by multiple variables
iris %>% arrange_dt(Sepal.Length,Petal.Length)
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <num> <num> <num> <num> <fctr>
#> 1: 4.3 3.0 1.1 0.1 setosa
#> 2: 4.4 3.0 1.3 0.2 setosa
#> 3: 4.4 3.2 1.3 0.2 setosa
#> 4: 4.4 2.9 1.4 0.2 setosa
#> 5: 4.5 2.3 1.3 0.3 setosa
#> ---
#> 146: 7.7 3.0 6.1 2.3 virginica
#> 147: 7.7 3.8 6.7 2.2 virginica
#> 148: 7.7 2.8 6.7 2.0 virginica
#> 149: 7.7 2.6 6.9 2.3 virginica
#> 150: 7.9 3.8 6.4 2.0 virginica