There are five common ways to extract rows from a data frame in R:

Method 1: Extract One Row by Position

#extract row 2
df[2, ]

Method 2: Extract Multiple Rows by Position

#extract rows 2, 4, and 5
df[c(2, 4, 5), ]

Method 3: Extract Range of Rows

#extract rows in range of 1 to 3
df[1:3, ]

Method 4: Extract Rows Based on One Condition

#extract rows where value in column1 is greater than 10
df[df$column1 > 10, ]

Method 5: Extract Rows Based on Multiple Conditions

#extract rows where column1 > 10 and column2 > 5
df[df$column1 > 10 & df$column2 > 5, ]

#extract rows where column1 > 10 or column2 > 5
df[df$column1 > 10 | df$column2 > 5, ]

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

#create data frame
df <- data.frame(team=c('A', 'B', 'C', 'D', 'E'),
                 points=c(99, 90, 86, 88, 95),
                 assists=c(33, 28, 31, 39, 34),
                 rebounds=c(30, 28, 24, 24, 28))

#view data frame
df

  team points assists rebounds
1    A     99      33       30
2    B     90      28       28
3    C     86      31       24
4    D     88      39       24
5    E     95      34       28

Example 1: Extract One Row by Position

The following code shows how to extract only row 2 from the data frame:

#extract row 2
df[2, ]

  team points assists rebounds
2    B     90      28       28

Example 2: Extract Multiple Rows by Position

#extract rows 2, 4, and 5
df[c(2, 4, 5), ]

  team points assists rebounds
2    B     90      28       28
4    D     88      39       24
5    E     95      34       28

Example 3: Extract Range of Rows

The following code shows how to extract rows in the range from 1 to 3:

#extract rows in range of 1 to 3
df[1:3, ]

  team points assists rebounds
1    A     99      33       30
2    B     90      28       28
3    C     86      31       24

Example 4: Extract Rows Based on One Condition

The following code shows how to extract the rows where the value in the points column is greater than 90:

#extract rows where value in points column is greater than 90
df[df$points > 90, ]

  team points assists rebounds
1    A     99      33       30
5    E     95      34       28

Example 5: Extract Rows Based on Multiple Conditions

The following code shows how to extract the rows where the value in the points column is greater than 90:

#extract rows where points is greater than 90 and assists is greater than 33
df[df$points > 90 & df$assists > 33, ]

  team points assists rebounds
5    E     95      34       28

Additional Resources

The following tutorials explain how to perform other common tasks in R: