You can use the duplicated() function in R to identify duplicate rows in a data frame.

The following examples show how to use this function in practice with the following data frame in R:

#create data frame
df <- data.frame(team=c('Mavs', 'Mavs', 'Mavs', 'Nets', 'Nets', 'Kings', 'Hawks'),
                 position=c('G', 'G', 'F', 'F', 'F', 'C', 'G'),
                 points=c(23, 18, 14, 14, 13, 34, 22))

#view data frame
df

   team position points
1  Mavs        G     23
2  Mavs        G     18
3  Mavs        F     14
4  Nets        F     14
5  Nets        F     13
6 Kings        C     34
7 Hawks        G     22

Example 1: Use duplicated() to Find Duplicate Rows in Data Frame

We can use the following code to find all rows with a duplicate value in the team column of the data frame:

#view rows with duplicate values in 'team' column
df[duplicated(df$team), ]

  team position points
2 Mavs        G     18
3 Mavs        F     14
5 Nets        F     13

The output shows the three rows in the data frame that have duplicate values in the team column.

For example, row 1 in the data frame contained Mavs in the team column, which means the occurrence of Mavs in rows 2 and 3 are both duplicates.

Similarly, row 4 in the data frame contained Nets in the team column, which means the occurrence of Nets in row 5 is a duplicate.

Example 2: Use duplicated() to Count Number of Duplicated Rows in Data Frame

We can use the following code to count the number of  rows with a duplicate value in the team column of the data frame:

#count rows with duplicate values in 'team' column
sum(duplicated(df$team))

[1] 3

The output tells us that there are 3 rows with duplicate values in the team column.

Additional Resources

The following tutorials explain how to use other common functions in R:

How to Use the identical() Function in R
How to Use the melt() Function in R
How to Use n() Function in R