R-Tutorial
在当下信息爆炸的时代,唯一不缺的就是各种学习资源:
- 《R 语言资料卡片》中文版 https://github.com/sunbjt/r_reference
- 《R导论》中文版 https://github.com/DingGuohui/R-intro-cn
- 《R 语言高频问题》https://cran.r-project.org/doc/contrib/Liu-FAQ.pdf 由刘思喆收集自中文论坛,非 Kurt Hornik 维护的官方文档
- 《R 和 tidyverse 快速入门》 https://github.com/saghirb/Getting-Started-in-R Saghir Bashir
- 《R 和 tinyverse 快速入门》 https://github.com/eddelbuettel/gsir-te Dirk Eddelbuettel
- 《数据科学卡片》https://github.com/aaronwangy/Data-Science-Cheatsheet Aaron Wang
- 《S Poetry》Patrick Burns https://www.burns-stat.com/pages/Spoetry/Spoetry.pdf
- 《The R Inferno》Patrick Burns https://www.burns-stat.com/pages/Tutor/R_inferno.pdf
适合入门的书籍:
- 《Exploratory Data Analysis with R》探索性分析与 R 语言 Roger D. Peng https://bookdown.org/rdpeng/exdata/
- 《R Programming for Data Science》数据科学中的 R 语言 Roger D. Peng https://bookdown.org/rdpeng/rprogdatascience/
- 《Efficient R programming》高效的 R 语言编程 Colin Gillespie 和 Robin Lovelace https://csgillespie.github.io/efficientR/
- 《An Introduction to R》 R 语言入门 Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto 和 David Lusseau https://intro2r.com/
- 《The Book of R》https://web.itu.edu.tr/~tokerem/The_Book_of_R.pdf
- 《The Art of R Programming》http://heather.cs.ucdavis.edu/~matloff/132/NSPpart.pdf
- 《Hands-On Programming with R》 https://web.itu.edu.tr/~tokerem/Hands-On_R.pdf
- 《Learning R》 https://web.itu.edu.tr/~tokerem/Learning_R.pdf
- 《R for Data Science》Hadley Wickham and Garrett Grolemund http://r4ds.had.co.nz/
- 《Data Science for Psychologists》心理学家的数据科学 https://bookdown.org/hneth/ds4psy/
- 《Big Book of R》R 语言学习资源集散地 https://bigbookofr.netlify.app/
与统计相关:
- 《Data Science in Education Using R》数据科学在教育领域中的应用 https://datascienceineducation.com/
- 《Statistical Modeling and Computation for Educational Scientists》统计建模和计算在教育科学中的应用 https://zief0002.github.io/modeling/
- 《R Notes for Professionals book》https://goalkicker.com/RBook/
- 《Improving Your Statistical Inferences》Daniël Lakens https://lakens.github.io/statistical_inferences/
- 《数据科学入门》 Introduction to Data Science: Data Analysis and Prediction Algorithms with R Rafael A. Irizarry
- John H. Maindonald Using R for Data Analysis and Graphics 后来演变为 Data Analysis and Graphics Using R-3rd-2010 数据集和函数存放在 DAAG 包里,第四版正在进行中,手稿可在作者主页上获得。
- 线性模型与R语言 Extending the Linear Model with R Julian Faraway
- 数据建模与 R Modeling with Data: Tools and Techniques for Scientific Computing 下载地址 PDF
- 统计反思 Statistical Rethinking Statistical Rethinking Resources
- 统计做错了 Statistics Done Wrong
- 回归模型策略 Regression Modeling Strategies
- 应用预测建模 Applied Predictive Modeling
- 应用回归分析与广义线性模型 Applied Regression Analysis and Generalized Linear Models
- 数据融合,理论、方法和应用 Data Fusion Theory, Methods, and Applications
- 《学习统计与 R 语言》 Learning Statistics with R 网页版 PDF
- An Introduction to Bayesian Thinking: A Companion to the Statistics with R Course
- 统计计算 李东风
- R语言教程 李东风
- 金融时间序列分析讲义 李东风
- 应用时间序列分析备课笔记 李东风
- 应用时间序列分析与R语言 Time Series Analysis with Applications in R
- 时间序列预测:原理与实践 Forecasting: Principles and Practice Rob J Hyndman
- 时间序列分析及其应用 Time Series Analysis and Its Applications: With R Examples
- 量化经济学与R语言 Introduction to Econometrics with R
适合进阶的 R 语言书籍:
- 高级 R 语言编程 Advanced R
- R 语言编程风格指南 R Style Guide
- 高效 R 语言编程 Efficient R programming
- Google R 编程风格
- R 炼狱
- Rcpp for everyone
与数据可视化相关:
- 《ggplot2: Elegant Graphics for Data Analysis, 3rd》数据分析与图形艺术 Hadley Wickham https://ggplot2-book.org/
- 《Fundamentals of Data Visualization》数据可视化精要 Claus O. Wilke https://serialmentor.com/dataviz/
- 《Interactive web-based data visualization with R, plotly, and shiny》交互式数据可视化 Carson Sievert https://plotly-r.com/
- 《Data Visualization: A Practical Introduction》 数据可视化:实践指南 Kieran Healy https://socviz.co/
- 《数据可视化与 R 语言》 Data Visualisation with R: 100 Examples
- 《R 语言绘图手册》 R Graphics Cookbook PDF
- 《数据分析与图形艺术》 ggplot2: Elegant Graphics for Data Analysis
- 《可视化数据分析与 R 语言》 Graphical Data Analysis with R
- The Economist
- BBC
- Gapminder
与编程开发相关:
- The tidyverse style guide https://style.tidyverse.org/
- Tidyverse design guide https://design.tidyverse.org/
- Documentation for R's internal C API https://github.com/hadley/r-internals
- Advanced R https://adv-r.hadley.nz/
- R Packages https://r-pkgs.org/
- R Developer’s Guide https://forwards.github.io/rdevguide/
与写书、建站相关:
- bookdown: Authoring Books and Technical Documents with R Markdown https://bookdown.org/yihui/bookdown/
- blogdown: Creating Websites with R Markdown https://bookdown.org/yihui/blogdown/
- R Markdown: The Definitive Guide https://bookdown.org/yihui/rmarkdown/
- Reproducible Research with R and RStudio https://github.com/christophergandrud/Rep-Res-Book
与 Shiny 相关:
- 《Engineering Production-Grade Shiny Apps》 Colin Fay, Sébastien Rochette, Vincent Guyader 和 Cervan Girard https://engineering-shiny.org/
- 《Mastering Shiny》Hadley Wickham https://mastering-shiny.org/
与文档可重复相关:
- 《R Cookbook, 2nd》R 语言食谱 James (JD) Long 和 Paul Teetor https://rc2e.com/ 书稿源码
- 《R Graphics Cookbook, 2nd》 R 绘图食谱 Winston Chang https://r-graphics.org/ 书稿源码
- 《R Markdown Cookbook》R Markdown 食谱 Yihui Xie、 Christophe Dervieux 和 Emily Riederer https://bookdown.org/yihui/rmarkdown-cookbook/ 书稿源码
与开发 R 包相关:
- 开发 R 包 R packages https://r-pkgs.org/
- R 扩展 Writing R Extensions
- Git Pro Git 中文第二版
- R 用户愉快地使用 Git/Github Happy Git and GitHub for the useR
- The drake R Package User Manual
与文本挖掘相关:
- 初识命令行 The Unix Workbench
- 数据科学与命令行 Data Science at the Command Line
- 字符串处理 Handling Strings with R
- 文本挖掘 Text Mining with R: A Tidy Approach
- Linux 内核揭秘
与模型部署相关:
- Docker 入门 A Docker Tutorial for Beginners
- Docker 从入门到实践 docker practice
- R, Databases, and Docker
更多在线书籍合集 https://bookdown.org ,学习 R 语言的天花板不在编程软件而在统计。
以及中外博客:
- 谢益辉 https://yihui.org/
- 于淼 https://yufree.cn/
- 谭显英 https://shrektan.com/
- 任坤 https://renkun.me/
- Andrew Gelman https://andrewgelman.com/
- Julia Silge https://juliasilge.com/
- David Robinson http://varianceexplained.org/