# An R Community Public Library

**R Views**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

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If you haven’t recently visited bookdown.org, RStudio’s free site for publishing books written with the bookdown R package, you many be amazed at what is available. Currently, there are over one hundred fifty titles listed under the Books tab. These are written in a panoply of languages including Bulgarian, Chinese, English, French, German, Hindi, Italian, Japanese, Korean, Lithuanian (maybe), Norwegian, Portuguese, Russian, Slovenian (I think) and Vietnamese. The breadth of topics is extraordinary! Most books are concerned with R programming or statistical analyses, but you can find the odd volume of Russian poetry or treatise on Capital. Even with the aid of the bubble chart of tags there are hours of browsing here.

The sophistication of the content ranges from student notes to texts that have been published in hardcover. The latter include:

- Advanced R
- Advanced R Solutions
- Beyond Multiple Linear Regression
- blogdown: Creating Websites with R Markdown
- bookdown: Authoring Books and Technical Documents with R Markdown
- CAPITAL AS POWER: A Study of Order and Creorder
- Chess Encounters
- ComplexHeatmap Complete Reference
- Computational Genomics with R
- Data Science at the Command Line, 1e
- Data Science in Education Using R
- Data Science Live Book
- Data Visualization with R
- https://csgillespie.github.io/efficientR/
- Engineering Production-Grade Shiny Apps
- Exploratory Data Analysis with R
- Explanatory Model Analysis
- Forecasting: Principles and Practice (2nd ed)
- Fundamentals of Data Visualization
- Geocomputation with R
- Hands-On Programming with R
- Interactive web-based data visualization with R, plotly, and shiny
- Introduction to Data Science
- R Cookbook, 2nd Edition
- R for Data Science
- R for Health Data Science
- R Graphics Cookbook, 2nd edition
- R Markdown
- R Markdown Cookbook
- R Markdown: The Definitive Guide
- R Packages
- R Programming for Data Science
- Statistical Inference via Data Science
- Studieren und Forschen mit dem Internet
- Supervised Machine Learning for Text Analysis in R
- Surrogates
- Technical Foundations of Informatics
- Text Mining with R

Happy Reading!! And, please let us know if you would like review one of these books.

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