Learn to read and write R scripts for computations, data manipulation, and simple analysis. You will get hands-on coding experience via a web application, no software installation is required to attend. The goal is to explain the rules of the R syntax in general terms so you can make more sense of an introductory book or the recipes you will find when searching for solutions online. This tutorial is full of short exercises and code examples. It is directed to undergraduate or graduate students interested in learning R to apply it in assignments, projects, or theses but with no programming experience.

Part 1 (Jan 5 @ 4) covers using operators, expressions, variables, and built-in functions in R. Understanding assignment and how arguments work when calling functions. The data types and structures R offers to model data. Introduction to vectors. Part 2 (Jan 6 @ 4) covers the remaining data structures to model and manipulate data: factors, matrices, arrays, lists, and finally, the workhorse of data analysis, the data frame. We will study the basics of subsetting and ordering for data structures. Finally, we will have a look at user functions and basic control flow.