The three most common open source technologies for writing data science programs are Python, SciLab, and R. Here's how to write program-defined functions in R. There's no clear definition of the term ...

See how the purrr package’s possibly() function helps you flag errors and keep going when applying a function over multiple objects in R. It’s frustrating to see your code choke part of the way ...

Do you want to use ggplot2, dplyr, or other tidyverse functions in your own functions? This easy example shows how Tidy evaluation in R, or tidy eval for short, is a pretty complex topic. But for some ...

Although there are many functions in the base package of R, sometimes there may not be a function that does exactly what you want. In this case, R allows users to create their own functions and call ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

With great power comes not only great responsibility, but often great complexity — and that sure can be the case with R. The open-source R Project for Statistical Computing, a programming language and ...