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The **mapply()** function in R can be used to apply a function to multiple list or vector arguments.

This function uses the following basic syntax:

**mapply(FUN, â€¦, MoreArgs = NULL, SIMPLIFY = TRUE, USE.NAMES = TRUE)**

where:

**FUN**: The function to apply**â€¦**: Arguments to vectorize over**MoreArgs**: A list of other arguments to FUN**SIMPLIFY**: Whether or not to reduce the result to a vector.**USE.NAMES**: Whether or not to use names if the first â€¦ argument has names

The following examples show how to use this function in different scenarios.

**Example 1 : Use mapply() to Create a Matrix**

The following code shows how to use **mapply()** to create a matrix by repeating the values c(1, 2, 3) each 5 times:

#create matrix mapply(rep, 1:3, times=5) [,1] [,2] [,3] [1,] 1 2 3 [2,] 1 2 3 [3,] 1 2 3 [4,] 1 2 3 [5,] 1 2 3

Notice how this is much more efficient than typing out the following:

#create same matrix as previous example matrix(c(rep(1, 5), rep(2, 5), rep(3, 5)), ncol=3) [,1] [,2] [,3] [1,] 1 2 3 [2,] 1 2 3 [3,] 1 2 3 [4,] 1 2 3 [5,] 1 2 3

**Example 2: Use mapply() to Find Max Value of Corresponding Elements in Vectors**

The following code shows how to use **mapply()** to find the max value for corresponding elements in two vectors:

#create two vectors vector1 #find max value of each corresponding elements in vectors mapply(max, vector1, vector2) [1] 2 4 3 4 10

Hereâ€™s how to interpret the output:

- The max value of the elements in position 1 of either vector is
**2**. - The max value of the elements in position 2 of either vector is
**4**. - The max value of the elements in position 3 of either vector is
**3**.

And so on.

**Example 3: Use mapply() to Multiply Corresponding Elements in Vectors**

The following code shows how to use **mapply()** to find multiply the corresponding elements in several vectors:

#create three vectors vec1 #find max value of each corresponding elements in vectors mapply(function(val1, val2, val3) val1*val2*val3, vec1, vec2, vec3) [1] 6 48 162 384

Hereâ€™s how to interpret the output:

- The product of the elements in position 1 of each vector is 1 * 2 * 3 =
**6**. - The product of the elements in position 2 of each vector is 2 * 4 * 6 =
**48**. - The product of the elements in position 3 of each vector is 3 * 6 * 9 =
**162**. - The product of the elements in position 4 of each vector is 4 * 8 * 12 =
**384**.

**Additional Resources**

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

lapply vs. sapply in R: Whatâ€™s the Difference?

How to Apply Function to Each Row in Matrix or Data Frame in R