You can use the following methods to filter a data frame by row number using the slice function from the package:

Method 1: Filter by Specific Row Numbers

df %>% slice(2, 3, 8)

This will return row numbers 2, 3, and 8.

Method 2: Filter by Range of Row Numbers

df %>% slice(2:5)

This will return rows 2 through 5.

The following examples show how to use each method in practice with the following data frame in R:

#create data frame
df <- data.frame(team=c('A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'),
                 points=c(10, 10, 8, 6, 15, 15, 12, 12),
                 rebounds=c(8, 8, 4, 3, 10, 11, 7, 7))

#view data frame
df

  team points rebounds
1    A     10        8
2    B     10        8
3    C      8        4
4    D      6        3
5    E     15       10
6    F     15       11
7    G     12        7
8    H     12        7

Example 1: Filter by Specific Row Numbers

We can use the following code to filter for rows 2, 3, and 8:

library(dplyr)

#filter for only rows 2, 3, and 8
df %>% slice(2, 3, 8)

  team points rebounds
1    B     10        8
2    C      8        4
3    H     12        7

Notice that only rows 2, 3, and 8 are returned from the original data frame.

Example 2: Filter By Range of Row Numbers

We can use the following code to filter for rows between 2 and 5:

library(dplyr)

#filter for rows between 2 and 5
df %>% slice(2:5)

  team points rebounds
1    B     10        8
2    C      8        4
3    D      6        3
4    E     15       10

Notice that only the rows between 2 and 5 are returned from the original data frame.

Additional Resources

The following tutorials explain how to perform other common operations in dplyr: