One of the first things I learned in R was how to use basic statistics functions like sum(). However, what if you want a cumulative sum to measure how something is building over time–rather than just a total sum to measure the end result? It turns out there is a function for cumulative sum, called cumsum(). Here’s out to use it…

### create (or import) a data frame of totals product_sales <- data.frame("Day" = c(1:10),"Sales" = c(100,200,150,120,130,145,90,150,180,190)) ### add cumulative column to the data frame product_sales[,"cum_sales"] <- cumsum(product_sales$Sales) ### print data frame product_sales

It’s that simple. Here’s how the output looks from the dummy data frame I created: