The **pivot_wider()** function from the tidyr package in R can be used to pivot a data frame from a long format to a wide format.

This function uses the following basic syntax:

**library(tidyr)
df %>% pivot_wider(names_from = var1, values_from = var2)**

where:

**names_from**: The column whose values will be used as column names**values_from**: The column whose values will be used as cell values

The following example shows how to use this function in practice.

**Related:** Long vs. Wide Data: What’s the Difference?

**Example: Use pivot_wider() in R**

Suppose we have the following data frame in R that contains information about various basketball players:

**#create data frame
df <- data.frame(player=rep(c('A', 'B'), each=4),
year=rep(c(1, 1, 2, 2), times=2),
stat=rep(c('points', 'assists'), times=4),
amount=c(14, 6, 18, 7, 22, 9, 38, 4))
#view data frame
df
player year stat amount
1 A 1 points 14
2 A 1 assists 6
3 A 2 points 18
4 A 2 assists 7
5 B 1 points 22
6 B 1 assists 9
7 B 2 points 38
8 B 2 assists 4**

We can use the** pivot_wider()** function to pivot this data frame into a wide format:

**library(tidyr)
#pivot the data frame into a wide format
df %>% pivot_wider(names_from = stat, values_from = amount)
# A tibble: 4 x 4
player year points assists
1 A 1 14 6
2 A 2 18 7
3 B 1 22 9
4 B 2 38 4
**

Notice that the values from the **stat** column are now used as column names and the values from the **amount** column are used as cell values in these new columns.

The final result is a wide data frame.

**Note**: You can find the complete documentation for the **pivot_wider()** function here.

**Additional Resources**

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

How to Use Spread Function in R

How to Use Gather Function in R

How to Use Separate Function in R

How to Use the Unite Function in R