The Data Validation Cookbook

R
How I Use R
Github actions with R
An introduction to using github actions with R.
Agile Data Science with R
A workflow for doing data science in the R language, using Agile principles.
Supplement to Shiny in Production
This document is full of supplemental resources and content from the Shiny in Production Workshop delievered at rstudio::conf 2019.
R Shiny Applications Book
Welcome | Mastering Shiny
A book created with bookdown.
JavaScript 4 Shiny - Field Notes
Oui.
Introduction | Engineering Production-Grade Shiny Apps
A book about engineering shiny application that will later be sent to production. This book cover project management, structuring your project, building a solid testing suite, and optimizing your codebase. We describe in this book a specific workflow: design, prototype, build, strengthen and deploy.
YaRrr! The Pirate’s Guide to R
An introductory book to R written by, and for, R pirates
Writing R extensions
Writing R Extensions covers how to create your own packages, write R help files, and the foreign language (C, C++, Fortran, …) interfaces.
R Manuals - The R Manuals
The R Language
R_inferno.pdf
R for Excel Users
This is a workshop for RStudio::conf(2020) in San Francisco, California
R Development Guide
A guide to R development.
R Cookbook, 2nd Edition
Second edition of R Cookbook
Modern R with the tidyverse
This book will teach you how to use R to solve your statistical, data science and machine learning problems. Importing data, computing descriptive statistics, running regressions (or more complex machine learning models) and generating reports are some of the topics covered. No previous experience with R is needed.
Mastering Software… by Roger D. Peng et al. [PDF/iPad/Kindle]
This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. (Printed copies coming soon!)
Field Guide to the R Ecosystem
This guide aims to introduce the reader to the main elements of the R ecosystem.
Efficient R programming
Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency.
Cookbook for R
This site is powered by knitr and Jekyll. If you find any errors, please email winston@stdout.org
rOpenSci Packages: Development, Maintenance, and Peer Review
Extended version of the rOpenSci packaging guide. This book is a guide for authors, maintainers, reviewers and editors of rOpenSci. The first section of the book contains our guidelines for creating and testing R packages. The second section is dedicated to rOpenSci’s software peer review process: what it is, our policies, and specific guides for authors, editors and reviewers throughout the process. The third and last section features our best practice for nurturing your package once it has been onboarded: how to collaborate with other developers, how to document releases, how to promote your package and how to leverage GitHub as a development platform. The third section also features a chapter for anyone wishing to start contributing to rOpenSci packages.
Pack YouR Code
This book showcases a basic example of how to create an R package based on S3 classes.
Chapter 1 Preamble | HTTP testing in R
Best practice and tips for testing packages interfacing web resources.
RAP Companion
R for Data Engineers
Exploring Enterprise Databases with R: A Tidyverse Approach
An introduction to Docker and PostgreSQL for R users to simulate use cases behind corporate walls.
DevOps for Data Science
34 Workflow | Big Book of R
300+ Free R programming books