Subset rows based on their integer locations, R has the slice() function, which allows you to subset rows according to their integer places.

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The following techniques can be used to subset specific rows in a data frame:

**Approach 1: Subset One Particular Row**

get row 3 only

df %>% slice(3)

**Approach 2: Subset Several Rows**

get rows 2, 4, and 5

df %>% slice(2, 4, 5)

**Approach 3: Subset A Range of Rows**

get rows 1 through 3

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df %>% slice(1:3)

**Approach 4: Subset Rows by Group**

get the first row by group

df %>% group_by(var1) %>% slice(1)

The examples below demonstrate each technique using the given data frame:

put up a dataset

df <- data.frame(player = c('P1', 'P2', 'P3', 'P4', 'P5'), position = c('A', 'B', 'A', 'B', 'B'), points = c(102, 215, 319, 125, 112), assists = c(22, 12, 19, 23, 36))

Now we can view the dataset

df

player position points assists 1 P1 A 102 22 2 P2 B 215 12 3 P3 A 319 19 4 P4 B 125 23 5 P5 B 112 36

## Approach 1: Subset One Specific Row

To choose only Row 3 in the data frame using the slice() function, use the following code.

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get row 3 only

df %>% slice(3)

player position points assists 1 P3 A 319 19

## Approach 2: Subset Several Rows

The slice() function can be used to pick out a few particular rows from the data frame by using the following code.

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get rows 2, 4, and 5

df %>% slice(2, 4, 5)

player position points assists 1 P2 B 215 12 2 P4 B 125 23 3 P5 B 112 36

## Approach 3: Subset A Range of Rows

To select all rows in the range of 1 through 3, use the slice() function as demonstrated in the code below:

get rows 1 through 3

df %>% slice(1:3)

player position points assists 1 P1 A 102 22 2 P2 B 215 12 3 P3 A 319 19

## Approach 4: Subset Rows by Group

The slice() function can be used to select the first row in some groups, as demonstrated by the code below.

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get the first row by group

df %>% group_by(player) %>% slice(1)

player position points assists <chr> <chr> <dbl> <dbl> 1 P1 A 102 22 2 P2 B 215 12 3 P3 A 319 19 4 P4 B 125 23 5 P5 B 112 36