R学习之路
- R: https://www.r-project.org/
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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
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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
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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
- 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
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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/
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