R学习之路

本篇文章汇总了 R 学习的相关资源，包括 R 语言的基本概念、安装配置、编程语言特性等内容，适合 R 开发者参考。

• R: https://www.r-project.org/

• The Comprehensive R Archive Network: https://cran.r-project.org/

• Rtools: https://cran.rstudio.com/bin/windows/Rtools/

RStudio

• RStudio: https://posit.co/products/open-source/rstudio/
• RStudio User Guide: https://docs.posit.co/ide/user/
• Using RStudio Projects: https://support.posit.co/hc/en-us/articles/200526207-Using-Projects

R Packages

• R语言中，你最常用的软件包有哪些，请简述功能及特点？https://www.zhihu.com/question/21792740

• R语言书籍的学习路线图: https://jiangxincode.github.io/blogs/blog/how-to-learn-r-by-reading-books/

• Bioconductor: https://www.bioconductor.org/
• Shiny(Easy web apps for data science without the compromises): https://shiny.posit.co/
• colourpicker(A colour picker tool for Shiny and for selecting colours in plots): https://github.com/daattali/colourpicker
• R Markdown: https://rmarkdown.rstudio.com/
• quantmod(Quantitative Financial Modelling & Trading Framework for R): https://www.quantmod.com/
• Tidyverse: https://www.tidyverse.org/
• ggplot2: https://ggplot2.tidyverse.org/index.html
• gganimate: https://gganimate.com/
• Plotly R Open Source Graphing Library: https://plotly.com/r/
• plyr(The split-apply-combine strategy for R): http://had.co.nz/plyr/
• reshape2(长宽数据转换): https://github.com/hadley/reshape
• PerformanceAnalytics（Econometric tools for performance and risk analysis）: https://cran.r-project.org/web/packages/PerformanceAnalytics/
• lavaan(latent variable analysis, 隐变量分析): https://lavaan.ugent.be/tutorial/index.html
• brew(用于动态生成文本和代码，类似于模板引擎): https://cran.r-project.org/web/packages/brew
• rstatscn(R Interface for China National Data): https://cran.r-project.org/web/packages/rstatscn

• Hmisc(数据分析、数据操作、数据可视化以及生成描述性统计信息): https://cran.r-project.org/web/packages/Hmisc

• xlsx: https://www.rdocumentation.org/packages/xlsx

• ggplot2 Version of Figures in “Lattice: Multivariate Data Visualization with R”: https://learnr.wordpress.com/2009/06/28/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-1/
• The R Graph Gallery: https://r-graph-gallery.com/
• R Charts: https://r-charts.com/

R Books

• Econometrics in R: https://cran.r-project.org/doc/contrib/Farnsworth-EconometricsInR.pdf
• Applied Econometrics with R: https://cran.r-project.org/web/packages/AER/AER.pdf

• Statistics Using R with Biological Examples: https://cran.r-project.org/doc/contrib/Seefeld_StatsRBio.pdf

• Statorials – 您的统计素养指南！https://statorials.org/cn/