You can use the following methods to select random rows from a data frame in R using functions from the dplyr package:

**Method 1: Select Random Number of Rows**

df %>% sample_n(5)

This function randomly selects **5** rows from the data frame.

**Method 2: Select Random Fraction of Rows**

df %>% sample_frac(.25)

This function randomly selects **25%** of all rows from the data frame.

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: Select Random Number of Rows**

We can use the following code to randomly select **5** rows from the data frame:

**library(dplyr)
#randomly select 5 rows from data frame
df %>% sample_n(5)
team points rebounds
1 F 15 11
2 A 10 8
3 D 6 3
4 G 12 7
5 B 10 8
**

Notice that five rows are randomly selected from the data frame.

**Example 2: Select Random Fraction of Rows**

We can use the following code to randomly select **25%** of all rows from the data frame:

**library(dplyr)
#randomly select 25% of all rows from data frame
df %>% sample_frac(.25)
team points rebounds
1 E 15 10
2 G 12 7
**

Since the original data frame had 8 total values, 25% of 8 is equal to 2.

Thus, two rows are randomly selected from the data frame.

**Note**: You can find the complete documentation for the **sample_n **and **sample_frac** functions in dplyr here.

**Additional Resources**

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

How to Select Columns by Index Using dplyr

How to Select the First Row by Group Using dplyr

How to Filter by Multiple Conditions Using dplyr

How to Filter Rows that Contain a Certain String Using dplyr