You can use the **pmax()** and **pmin()** functions in R to find the parallel maximum and minimum values, respectively, across multiple vectors.

These functions uses the following basic syntax:

pmax(vector1, vector2, vector3, ...) pmin(vector1, vector2, vector3, ...)

The following examples show how to use these functions with both vectors and data frames.

**Example 1: Use pmax and pmin with Vectors**

Suppose we have the following three vectors in R:

#define three vectors vector1 <- c(2, 2, 3, 4, 5, 6, 9) vector2 <- c(1, 2, 4, 3, 3, 5, 4) vector3 <- c(0, 4, 3, 12, 5, 8, 8)

We can use the **pmax** and **pmin** functions to find the maximum and minimum values at corresponding elements across all three vectors:

#find max value across vectors pmax(vector1, vector2, vector3) [1] 2 4 4 12 5 8 9 #find min value across vectors pmin(vector1, vector2, vector3) [1] 0 2 3 3 3 5 4

Here’s how to interpret the output:

- The max value in the first position across all vectors was
**2**. The minimum value in the first position across all vectors was**0**. - The max value in the second position across all vectors was
**4**. The minimum value in the second position across all vectors was**2**.

And so on.

**Example 2: Use pmax and pmin with Data Frame Columns**

Suppose we have the following data frame in R:

#create data frame df <- data.frame(team=c('A', 'B', 'C', 'D', 'E'), steals=c(24, 22, 36, 33, 30), assists=c(33, 28, 31, 39, 34), rebounds=c(30, 28, 24, 24, 41)) #view data frame df team steals assists rebounds 1 A 24 33 30 2 B 22 28 28 3 C 36 31 24 4 D 33 39 24 5 E 30 34 41

We can use the **pmax** and **pmin** functions to find the maximum and minimum values at corresponding elements across all three vectors:

#find max value across steals, assists, and rebounds columns pmax(df$steals, df$assists, df$rebounds) [1] 33 28 36 39 41 #find minimum value across steals, assists, and rebounds columns pmin(df$steals, df$assists, df$rebounds) [1] 24 22 24 24 30

Here’s how to interpret the output:

- The max value in the first row across the steals, assists, and rebounds columns was
**33**and the minimum value was**24**. - The max value in the second row across the steals, assists, and rebounds columns was
**28**and the minimum value was**22**.

And so on.

**Note**: If you have missing values in any of the vectors, simply use the following syntax to ignore NA’s when calculating the maximum or minimum:

pmax(vector1, vector2, vector3, na.rm=TRUE) pmin(vector1, vector2, vector3, na.rm=TRUE)

**Additional Resources**

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

How to Use length() Function in R

How to Use cat() Function in R

How to Use substring() Function in R