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The post Arrange the rows in a specific sequence in R appeared first on Data Science Tutorials

Arrange the rows in a specific sequence in R, Frequently, you’ll want to arrange the rows in a data frame in R in a specified order.

Fortunately, the arrange() function from the dplyr library makes this simple.

Using the data frame below, this tutorial shows numerous examples of how to utilize this function in practice.

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Let’s create a data frame

```df <- data.frame(player = c('P1', 'P2', 'P3', 'P4', 'P5', 'P6', 'P7'),
points = c(122, 144, 154, 155, 120, 218, 229),
assists = c(43, 55, 77, 18, 114, NA,29))```

Now we can view the data frame

```df
player points assists
1     P1    122      43
2     P2    144      55
3     P3    154      77
4     P4    155      18
5     P5    120     114
6     P6    218      NA
7     P7    229      29```

## Approach 1: Organize by one Column

The following code demonstrates how to ascend the data frame using the values in the ‘points’ column.

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```library(dplyr)
df %>% arrange(points)
player points assists
1     P5    120     114
2     P1    122      43
3     P2    144      55
4     P3    154      77
5     P4    155      18
6     P6    218      NA
7     P7    229      29```

The desc() function can be used to sort in descending order:

```df %>% arrange(desc(points))
player points assists
1     P7    229      29
2     P6    218      NA
3     P4    155      18
4     P3    154      77
5     P2    144      55
6     P1    122      43
7     P5    120     114```

Note that whether you sort ascending or descending, NA’s will be at the bottom.

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```df %>% arrange(assists)
player points assists
1     P4    155      18
2     P7    229      29
3     P1    122      43
4     P2    144      55
5     P3    154      77
6     P5    120     114
7     P6    218      NA
df %>% arrange(desc(assists))
player points assists
1     P5    120     114
2     P3    154      77
3     P2    144      55
4     P1    122      43
5     P7    229      29
6     P4    155      18
7     P6    218      NA```

## Approach 2: Arrange by Multiple Columns

We can simply provide extra column names as parameters to organize the rows by multiple columns.

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order by points, then by assistance

```df %>% arrange(points, assists)
player points assists
1     P5    120     114
2     P1    122      43
3     P2    144      55
4     P3    154      77
5     P4    155      18
6     P6    218      NA
7     P7    229      29```

We can also arrange the rows by ascending one column and descending the other.

Sort by ascending points, then by descending assists.

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```df %>% arrange(points, desc(assists))
player points assists
1     P5    120     114
2     P1    122      43
3     P2    144      55
4     P3    154      77
5     P4    155      18
6     P6    218      NA
7     P7    229      29```

## Example 3: Arrange the rows in a specific sequence in R

You could also want to sort the rows in a specific order on occasion. This is simple to perform if you use a factor with precise levels.

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sort by a player in a specific order

```df %>% arrange(factor(player, levels = c('P1', 'P3', 'P2', 'P5', 'P4', 'P6', 'P7')))
player points assists
1     P1    122      43
2     P3    154      77
3     P2    144      55
4     P5    120     114
5     P4    155      18
6     P6    218      NA
7     P7    229      29```

The post Arrange the rows in a specific sequence in R appeared first on Data Science Tutorials