Who this book is for

Coding in R has reached a bit of a strange tipping point within the analytical community of most departments at this point. Most teams have at least one embedded R process that they’re reliant on for a time-sensitive or otherwise important objectives, and they don’t have an easy alternative for it. On the other hand, it’s very normal to have variable levels of coding ability within these teams, usually one “coding person” who writes the complicated stuff and fixes problems, and other people who are not quite as experienced.

This can lead to a range of problems with no obvious solutions, including:

  • You suddenly need to run some code immediately and you’re not even sure how to get started with that
  • You need to develop or change existing code and the person who wrote it has left
  • You’re not confident in your ability to judge whether coding projects are being done in the right way to avoid the above two issues

This book aims to fill this niche and give you some support in the above three scenarios. It’s arranged in three chapters in order of urgency so you’re not paging through a section about library management best practice when you just want to know why {dplyr} won’t install!