Big Book for R, a book which collected R-related programming books.
- R in Action Data Analysis and Graphics with R, the first book I used to learn R
- Learning R, suitable for beginners, the second book I used to learn R
- Getting used to R, RStudio, and R Markdown, free online, provide new users to R, RStudio, and R Markdown with the introductory steps needed to begin their own reproducible research
- R cookbook, 2nd Edition, free online, qucik reference manual for common R programming problems
- Advanced R, free online, and the solutions to the exercises in the book is provided in Advanced R solutions
- What They Forgot to Teach You about R, free online, designed for experienced R and RStudio users who want to (re)design their R lifestyle and will improve your efficiency for R
- Efficient R programming, free online
- Extending R
- Mastring Software Development in R, free online
- Rcpp for everyone, free online
- Hands-On Programming with R, free online
- An introduction to R, free online
- R for Data Science, free online
- An Introduction to Statistical Learning, with Applications in R; tidymodels version of ILS, free online
- Statistical Inference via Data Science, A morderndive into R and the tidyverse, free online
- Exploratory Data Analysis with R
- Data Science in R
- Deep learning with R
- Software for Data Analysis Programming with R
- Automated Data Collection with R
- Introductory Statistics With R
- R Programming for Data Science, the online free version is here
- STAT545, Data wrangling, exploration, and analysis in R, free on line
- Introduction to Data Science, Data Analysis and Prediction Algorithms with R, free online
- Learning Statistics with R, free
- Doing Bayesian Data Analysis in brms and the tidyverse, free online
- Hands-on Machine Learning with R, free online
- Tidy modeling with R, free on line
- Introduction to Modern Statistics, free on line
- Bayes Rules! An Introduction to Bayesian Modeling with R, free on line
- Modern Data Science with R, free online
- Data Analytics with R:A Recipe Book
- Model Estimation by Example, Demonstrations with R
- DevOps for Data Science
- ggplot2: Elegant Graphics for Data Analysis, free online
- solutions to ggplot2: Elegant Graphics for Data Analysis
- R Graphics Cookbook, free online
- R Graphics, describes the two core graphics system in R, the base graphics system and the grid graphics system (ggplot2 and lattice package)
- 现代统计图形, free online
- Data Visualization, A Practical Introduction
- Fundamentals of Data Visualization, source code is host on github
- Data Visualization with R, free online, relies heavily on the ggplot2 package for graphics, but other approaches are covered as well
- Interactive web-based data visualization with R, plotly, and shiny, free online, interactive and dynamic web graphics for data analysis from R. It makes heavy use of plotly for rendering graphics, but you'll also learn about other R packages that augment a data science workflow, such as the tidyverse and shiny
- Dynamic Documents with R and knitr
- R Markdown: The definitive Guide, free online
- bookdown: Authoring Books and Technical Documents with R Markdown, free online
- blogdown: Creating Websites with R Markdown, free online
- R Markdown Cookbook, free on line
- Data Analysis for the Life Science
- Computational Genomics with R, free online
- Bayesian Networks in R, with Applications in Systems Biology
- Statistical Analysis of Microbiome Data with R
- Primer to Analysis of Genomic Data Using R
- Modern Statistics for Modern Biology
- A User's Guide to Network Analysis in R
- Handbook of Graphs and Networks in People Analytics: With Examples in R and Python
- Mastering Shiny, free online
- Mastering Shiny Solutions, free online
- XML and Web Technologies for Data Sciences
- Python for R users a data science approach
- Another Book on Data Science, Learn R and Python in Parallel, free online
- JavaScript for R, free online
There are also many free R programming ebooks which are build on top of bookdown hosted on the website bookdown.org. Some of them that I have read (at leaset a part) have been listed above.
Your contribution will be highly appreciated.