Get Sum of Data Frame Column Values in R (2 Examples)
In this article you’ll learn how to compute the sum of one or all columns of a data frame in the R programming language.
Table of contents:
Let’s do this:
Introducing Example Data
As a first step, we’ll have to create some data that we can use in the examples later on:
data <- data.frame(x1 = 1:5, # Create example data x2 = 2:6, x3 = 3) data # Return example data # x1 x2 x3 # 1 1 2 3 # 2 2 3 3 # 3 3 4 3 # 4 4 5 3 # 5 5 6 3
The previous output of the RStudio console shows that our example data has five rows and three columns. Each of the three variables is numeric.
Example 1: Compute Sum of One Column Using sum() Function
sum(data$x1) # Applying sum function # 15
The sum of all values contained in the column x1 is 15.
Example 2: Compute Sum of All Columns Using colSums() Function
We can also compute the sum of all numeric columns of our data frame. The following R code explains how to do this using the colSums function in R.
colSums(data) # Applying colSums function # x1 x2 x3 # 15 20 15
The output of the colsums function illustrates the column sums of all variables in our data frame.
Video, Further Resources & Summary
Have a look at the following video of my YouTube channel. In the video, I’m showing the R programming code of this article:
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In addition, you could read the related articles on my website. You can find a selection of articles about descriptive statistics below.
- sum Function in R
- colSums, rowSums, colMeans & rowMeans in R
- cumsum Function in R
- R Programming Language
In this R programming post you learned how to calculate sums of variables. In case you have any further questions, please let me know in the comments section below.
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