作者|史宏炜
来源|郭老师统计小课堂
作为统计学专业的学生，除了要掌握扎实的数理知识，也需要具有一定的编程能力，如R语言、Pyhton、Matlab、C、C++以及Julia等。在众多软件中，R语言对于统计学研究者更加灵活方便，而且开源免费、语法简单易学同时具有丰富的拓展包。因此本推文重点介绍与统计学相关的R语言资料。
R语言官网
如今，可获的R语言学习资源丰富多彩，其中最基础最重要的是官方手册，但却很容易被大家忽视，以下是一些参考链接：
R：https://www.r-project.org/
R Language Definition：https://cran.r-project.org/doc/manuals/r-release/R-lang.pdf
An Introduction to R：https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf
R: A Language and Environment for Statistical Computing：https://cran.r-project.org/doc/manuals/r-release/fullrefman.pdf
R Installation and Administration：https://cran.r-project.org/doc/manuals/r-release/R-admin.pdf
R Data Import/Export：https://cran.r-project.org/doc/manuals/r-release/R-data.pdf
Writing R Extensions：https://cran.r-project.org/doc/manuals/r-release/R-exts.pdf
R Internals：https://cran.r-project.org/doc/manuals/r-release/R-ints.pdf
Available CRAN Packages By Name：https://cran.r-project.org/web/packages/available_packages_by_name.html，可以重点关注每个package对应的Documentation
！！！以下资料主要参考Huang Xiangyun整理的书单 (https://github.com/XiangyunHuang/R-Tutorial) 进行介绍
R语言编程：基础到进阶
《An Introduction to R》https://intro2r.com/，Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto and David Lusseau
《The Book of R》https://web.itu.edu.tr/~tokerem/The_Book_of_R.pdf，Tilman M. Davies
《The Art of R Programming》http://heather.cs.ucdavis.edu/~matloff/132/NSPpart.pdf，Norman Matloff
《Hands-On Programming with R》 https://web.itu.edu.tr/~tokerem/Hands-On_R.pdf，Garrett Grolemund
《Learning R》 https://web.itu.edu.tr/~tokerem/Learning_R.pdf，Richard Cotton
《Big Book of R》https://bigbookofr.netlify.app/，Oscar Baruffa
《R Notes for Professionals book》https://goalkicker.com/RBook/
《R语言教程》http://www.math.pku.edu.cn/teachers/lidf/docs/Rbook/html/_Rbook/index.html，李东风
《The tidyverse style guide》https://style.tidyverse.org/index.html
《Tidyverse design guide》https://design.tidyverse.org/
《Advanced R》https://adv-r.hadley.nz/，Hadley wickham
《Efficient R programming》https://csgillespie.github.io/efficientR，Colin Gillespie and Robin Lovelace
《The R Inferno》https://www.burns-stat.com/pages/Tutor/R_inferno.pdf，Patrick Burns
《Rcpp for everyone》https://teuder.github.io/rcpp4everyone_en/，Masaki E. Tsuda
《R Packages》https://r-pkgs.org/，Hadley Wickham and Jenny Bryan
数据科学与R语言
《R for Data Science》
英文原版：https://r4ds.had.co.nz/，Hadley Wickham and Garrett Grolemund
中文参考1：https://bookdown.org/wangminjie/R4DS/，王敏杰
中文参考2：https://bookdown.org/xiangyun/r4ds/，黄湘云
《Introduction to Data Science: Data Analysis and Prediction Algorithms with R》https://rafalab.github.io/dsbook/，Rafael A. Irizarry
《Data Analysis and Graphics Using R - An Example-Based Approach》https://maths-people.anu.edu.au/~johnm/r/usingR.pdf，https://maths-people.anu.edu.au/~johnm/r-book/daagur3.html，John Maindonald and John Braun
《Data Science Cheatsheet》https://github.com/aaronwangy/Data-Science-Cheatsheet，Aaron Wang
《Exploratory Data Analysis with R》https://bookdown.org/rdpeng/exdata/，Roger D. Peng
《R Programming for Data Science》https://bookdown.org/rdpeng/rprogdatascience/，Roger D. Peng
《R 和 tidyverse 快速入门》 https://github.com/saghirb/Getting-Started-in-R，Saghir Bashir
《R数据分析指南与速查册》https://bookdown.org/xiao/RAnalysisBook/，郭晓
图形可视化与R语言
《现代统计图形》https://bookdown.org/xiangyun/msg/，https://msg2020.pzhao.org/，黄湘云
《ggplot2: Elegant Graphics for Data Analysis》https://ggplot2-book.org/，Hadley Wickham, Danielle Navarro and Thomas Lin Pedersen
《Data Visualization: A Practical Introduction》https://socviz.co/，Kieran Healy
《Data Visualisation with R – 111 Examples (2nd Edition)》http://www.datavisualisation-r.com/
《Fundamentals of Data Visualization》https://serialmentor.com/dataviz/，Claus O. Wilke
《Interactive web-based data visualization with R, plotly, and shiny》https://plotly-r.com/，Carson Sievert http://www.sthda.com/english/wiki/ggplot2-essentials
统计建模与R语言
《Learning statistics with R》https://learningstatisticswithr.com/，Danielle Navarro
《Improving Your Statistical Inferences》https://lakens.github.io/statistical_inferences/，Daniël Lakens
《Statistical Inference via Data Science: A ModernDive into R and the Tidyverse》https://moderndive.com/，Chester Ismay and Albert Y. Kim
《Modeling with Data: Tools and Techniques for Scientific Computing》https://ben.klemens.org/pdfs/gsl_stats.pdf，Ben Klemens
《统计计算》http://www.math.pku.edu.cn/teachers/lidf/docs/statcomp/html/_statcompbook/index.html，李东风
《Tidy Modeling with R》https://www.tmwr.org/，Max Kuhn and Julia Silge
一些其它资料
Huang Xiangyun整理的书单：https://github.com/XiangyunHuang/R-Tutorial
更多在线书籍合集：https://bookdown.org/
一个不错的查询网站 Statistical tools for high-throughput data analysis (STHDA)：http://www.sthda.com/english/wiki/r-software
转自：“量化研究方法”微信公众号
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