Building reproducible analytical pipelines with R
Build reproducible analytical pipelines that will output consistent, high-quality analyses using the R programming language, Git, Github and Docker. Learn about functional and literate programming to keep your code concise, easier to test, easier to share and easily understandable by others.
- Read it for free: https://raps-with-r.dev/
- Buy the DRM free Epub or PDF: https://leanpub.com/raps-with-r/
- Buy a physical copy on Amazon: https://www.amazon.com/Building-reproducible-analytical-pipelines-R/dp/B0C87H6MGF
Modern R with the tidyverse
This book focuses on teaching you how to use R in a modern way. Why modern? Because you will learn about the tidyverse collection of packages, which enable you to write efficient, legible code. You will also learn about functional programming, some statistical methods, writing your own packages… By the end of the book, you will have all the knowledge and tools on hand to use R for your day-to-day data science tasks!