# Calculate Cumulative Product in R (Example) | cumprod() Function

In this article, I’ll show how to calculate cumulative products using the **cumprod function** in the R programming language.

Table of contents:

Let’s dive right in…

## Creation of Example Data

Initially, we have to define some data that we can use in the exemplifying syntax later on:

x <- 1:10 # Create example vector x # Print example vector # [1] 1 2 3 4 5 6 7 8 9 10 |

x <- 1:10 # Create example vector x # Print example vector # [1] 1 2 3 4 5 6 7 8 9 10

As you can see based on the previous RStudio console output, our example data is a vector object containing ten integer values ranging from 1 to 10.

## Example: Calculate Cumulative Product Using cumprod() Function

This example shows how to compute the cumulative product of a vector object in R.

For this task, we can apply the cumprod function to our example vector as shown below:

x_cumprod <- cumprod(x) # Apply cumprod function x_cumprod # Print cumulative products # [1] 1 2 6 24 120 720 # [7] 5040 40320 362880 3628800 |

x_cumprod <- cumprod(x) # Apply cumprod function x_cumprod # Print cumulative products # [1] 1 2 6 24 120 720 # [7] 5040 40320 362880 3628800

The previous output of the RStudio console shows the cumulative products that correspond to our input vector.

Note that we could apply the same syntax to a data frame column as well.

## Video & Further Resources

If you need further information on the R programming syntax of this article, I recommend having a look at the following video on my YouTube channel. I show the R code of this article in the video:

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In addition, you may have a look at the other articles that I have published on this website. You can find a selection of tutorials below:

- cumsum Function in R
- Cumulative Maxima & Minima in R
- Cumulative Mean in R
- Cumulative Frequency & Probability Table
- cumall, cumany & cummean R Functions of dplyr Package
- Introduction to R

In summary: In this R programming article you have learned how to **apply the cumprod function**. In case you have additional questions, let me know in the comments below.

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