# Weighted Sum in R (Example)

This article shows in an R programming example how to **compute the weighted sum**.

First, we need to create some example data in R. I’m going to create one numeric vector containing my observed values…

x <- c(8, 5, 1, 7, 10) # Create vector of values |

x <- c(8, 5, 1, 7, 10) # Create vector of values

…and another numeric vector containing my weights (in reality this could be sampling weights):

w <- c(5, 8, 15, 1, 7) # Create vector of weights |

w <- c(5, 8, 15, 1, 7) # Create vector of weights

In order to calculate the weighted sum of our data, we can apply the sum R function to the product of x and w (i.e. we multiply our observed values with our weights and then add all values):

sum(x * w) # Compute weighted sum # 172 |

sum(x * w) # Compute weighted sum # 172

The RStudio console is then showing the result of our calculation: The weighted sum of our example data is 172.

## Further Resources & Summary

Do you want to learn more about the sum function that we have used in the previous example? Then you could have a look at the following video of my YouTube channel. In the video, I’m explaining the application of the sum function in R in more detail.

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Furthermore, you could have a look at the other R tutorials on my website. Below, you can find a list of useful R tutorials:

- Sum in R
- Sum by Group in R
- Weighted Mean in R
- Column & Row Sums & Means
- The cumsum Function in R
- R Functions List (+ Examples)
- The R Programming Language

In this R tutorial you learned how to compute the weighted sum of a numeric vector. If you have any further questions or comments on the previously shown example, don’t hesitate to let me know in the comments section below.

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