As we’ve seen in the first two parts of this book, R can really help you in very noticeable ways: formatting and manipulating data, analyzing complex problems and relationships, and even automating some of your daily tasks. One problem, though, is that we have to actually have a computer running R in order to do these things. As I mentioned very far back in Chapter 1, R runs on a lot of systems – Macs, Windows PCs, Linux desktops and servers, some android devices, and even devices like a Raspberry Pi. But it doesn’t run everywhere. It can be frustrating in a time when many people are turning to Chromebooks, and Apple iOS devices, to not have R. And even if R runs on your device, you need to be physically at your device to run something, and a longer job may mean that your computer is tied up for hours chugging away at something. In this chapter, we’ll discuss a way around this limitation – putting R “in the cloud” or (in other terms), somewhere else and remotely accessing it. We’ll see that there are some really useful tools that help us achieve that, and all we need is a spare computer at home, a virtual private server on the Internet, or even a cloud computing service account like Amazon Web Services!