
R is a free statistical software. As you learn more about R, you will find that it is designed around a computer language capable of being easily extended for problems of interest to actuaries and other scientists. It is broadly supported by the statistics community and thus has many of the most advanced techniques already builtin. Because of the price (zer0), it is accessible to all student actuaries and professionals, regardless of where you work or play.
Introductions to R
There are many, many manuals and tutorials available to help you learn R. There is a large collection available at The R Project for Statistical Computing.
Our Approach to Learning R
We will practice the “learning by doing” approach. That is, take the sample code available from the web site (with the data) and replicate the steps to learn how R functions. In this way, you will also learn statistical methods while learning the code. After some familiarity with the code, you can use the text exercises to practice the same procedures but with different datasets.
In addition to the R scripts on this site, check out our Online Tutorial that provides a quick overview of the first six chapters.
Date: 25 October 2018 
