# Appendix: Using R

This book uses R and is designed to be used with R. R is free, available on almost every operating system, and there are thousands of add-on packages to do almost anything you could ever want to do. We recommend you use R with RStudio.

### Installing R and RStudio

- Download and install R.
- Download and install RStudio.
- Run RStudio. On the “Packages” tab, click on “Install packages” and install the package
**fpp2**(make sure “install dependencies” is checked).

That’s it! You should now be ready to go.

### R examples in this book

We provide R code for most examples in shaded boxes like this:

These examples assume that you have the **fpp2** package loaded (and that you are using at least v2.3 of the package). So you should use the command `library(fpp2)`

before you try any examples provided here. (This needs to be done at the start of every R session.) Sometimes we also assume that the R code that appears earlier in the same section of the book has also been run; so it is best to work through the R code in the order provided within each section.

### Getting started with R

If you have never previously used R, please work through the first section (chapters 1-8) of “R for Data Science” by Garrett Grolemund and Hadley Wickham. While this does not cover time series or forecasting, it will get you used to the basics of the R language. The Coursera R Programming course is also highly recommended.

You will learn how to use R for forecasting using the exercises in this book.