# How to Use dplyr transmute Function in R (With Examples)

You can use the transmute() function in R to add new calculated variables to a data frame and drop all existing variables.

This function uses the following basic syntax:

```df %>% transmute(var_new = var1 * 2)
```

In this example, a new variable called var_new will be created by multiplying an existing variable called var1 by 2.

The following examples show how to use the transmute() function with the following data frame in R:

```#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: Use transmute() to Create One New Variable

The following code shows how to use transmute() to create one new variable:

```library(dplyr)

#create new variable called points2
df %>% transmute(points2 = points * 2)

points2
1     198
2     180
3     172
4     176
5     190```

The values of points2 are equal to the original values in the points column multiplied by two.

Note that the transmute() function doesn’t actually modify the original data frame.

To save the results of the transmute() function in a new data frame, you must store them in a variable:

```library(dplyr)

#store results of transmute in variable
df_points2 <- df %>% transmute(points2 = points * 2)

#view results
df_points2

points2
1     198
2     180
3     172
4     176
5     190```

The results of transmute() are now stored in a new data frame.

### Example 2: Use transmute() to Create Multiple New Variables

The following code shows how to use transmute() to create multiple new variables from existing variables:

```library(dplyr)

#create multiple new variables
df %>%
transmute(
points2 = points * 2,
rebounds_squared = rebounds^2,
assists_half = assists / 2,
team_name= paste0('team_', team)
)

points2 rebounds_squared assists_half team_name
1     198              900         16.5    team_A
2     180              784         14.0    team_B
3     172              576         15.5    team_C
4     176              576         19.5    team_D
5     190              784         17.0    team_E
```

Notice that four new variables have been created.