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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

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