# How to Arrange Rows by Group Using dplyr (With Examples)

You can use the following methods to arrange rows by group in dplyr:

Method 1: Arrange Rows in Ascending Order by Group

```library(dplyr)

#arrange rows in ascending order based on col2, grouped by col1
df %>%
group_by(col1) %>%
arrange(col2, .by_group=TRUE)```

Method 2: Arrange Rows in Descending Order by Group

```library(dplyr)

#arrange rows in descending order based on col2, grouped by col1
df %>%
group_by(col1) %>%
arrange(desc(col2), .by_group=TRUE)```

Method 3: Arrange Rows by Multiple Groups

```library(dplyr)

#arrange rows based on col3, grouped by col1 and col2
df %>%
group_by(col1, col2) %>%
arrange(col3, .by_group=TRUE)```

This tutorial explains how to use each method in practice with the following data frame:

```#create data frame
df <- data.frame(team=c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'),
position=c('G', 'G', 'F', 'F', 'G', 'G', 'F', 'F'),
points=c(10, 12, 3, 14, 22, 15, 17, 17))

#view data frame
df

team position points
1    A        G     10
2    A        G     12
3    A        F      3
4    A        F     14
5    B        G     22
6    B        G     15
7    B        F     17
8    B        F     17```

## Example 1: Arrange Rows in Ascending Order by Group

The following code shows how to arrange the rows in ascending order based on points, grouped by the team column:

```library(dplyr)

#arrange rows in ascending order by points, grouped by team
df %>%
group_by(team) %>%
arrange(points, .by_group=TRUE)

# A tibble: 8 x 3
# Groups:   team [2]
team  position points

1 A     F             3
2 A     G            10
3 A     G            12
4 A     F            14
5 B     G            15
6 B     F            17
7 B     F            17
8 B     G            22
```

The rows are arranged in ascending order (smallest to largest) by points, grouped by the team column.

## Example 2: Arrange Rows in Descending Order by Group

The following code shows how to arrange the rows in descending order based on points, grouped by the team column:

```library(dplyr)

#arrange rows in descending order by points, grouped by team
df %>%
group_by(team) %>%
arrange(desc(points), .by_group=TRUE)

# A tibble: 8 x 3
# Groups:   team [2]
team  position points

1 A     F            14
2 A     G            12
3 A     G            10
4 A     F             3
5 B     G            22
6 B     F            17
7 B     F            17
8 B     G            15
```

The rows are arranged in descending order (largest to smallest) by points, grouped by the team column.

## Example 3: Arrange Rows by Multiple Groups

The following code shows how to arrange the rows in ascending order based on points, grouped by the team and position columns:

```library(dplyr)

#arrange rows in descending order by points, grouped by team and position
df %>%
group_by(team, position) %>%
arrange(points, .by_group=TRUE)

# A tibble: 8 x 3
# Groups:   team, position [4]
team  position points

1 A     F             3
2 A     F            14
3 A     G            10
4 A     G            12
5 B     F            17
6 B     F            17
7 B     G            15
8 B     G            22
```

The rows are arranged in ascending order (smallest to largest) by points, grouped by the team and position columns.

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