Calculate the Cumulative Maxima of a Vector in R Programming - cummax() Function

Last Updated : 11 Apr, 2023

The cumulative maxima is the max value of elements 1 through l for an element l of the given variables.

cummax() function in R Language is used to calculate the cumulative maxima of the values of vector passed as arguments.

Syntax: cummax(x)

Parameters:

x: numeric object

Example 1:

Python3

# R program to cumulative maxima # Calling cummax() function cummax(6:2) cummax(-2:-6) cummax(3.8:1.2)

Output:

[1] 6 6 6 6 6 [1] -2 -2 -2 -2 -2 [1] 3.8 3.8 3.8

Example 2:

Python3

# R program to cumulative maxima  # Creating vectors x1 <- c(5, 3, 2, 6, 3, 4) x2 <- c(-4, 6, 3)  # Calling cummax() function cummax(x1) cummax(x2)

Output:

[1] 5 5 5 6 6 6 [1] -4  6  6

Since, the maxima is calculated for the values in decreasing order and hence the above code shows two cumulative values for vectors.

Example :

the example of how to calculate the cumulative maxima of a vector in R using the cummax() function.

# Create a sample vector v <- c(1, 6, 2, 7, 5, 9)  # Calculate the cumulative maxima of the vector cumulative_max <- cummax(v)  # Print the results print(cumulative_max)

output :

[1] 1 6 6 7 7 9

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