- R：https://www.r-project.org
- Rstudio： https://www.rstudio.com
- VScode： https://code.visualstudio.com
- git - tutorial: https://rogerdudler.github.io/git-guide/index.zh.html
- tinytex: https://yihui.org/tinytex/
- Miktex: https://miktex.org
- The learnr package Interactive Tutorials for R https://rstudio.github.io/learnr/
- Yu Guangchuang ggtree https://guangchuangyu.github.io/software/ggtree/
- Xie Yihui et al. Rmarkdown https://rmarkdown.rstudio.com/
- Xie Yihui et al. blogdown https://bookdown.org/yihui/blogdown/
- Xie Yihui et al. pagedown https://github.com/rstudio/pagedown
- The sf package, alternative to GIS, https://r-spatial.github.io/sf/
- CRAN Task Views: https://cran.r-project.org/web/views/
- awesome-R https://github.com/qinwf/awesome-R
- Roxana Noelia Villafañe Learning R - Resources https://github.com/data-datum/learning_R
- Karthik Ram, Scott Chamberlain, and Carl Boettiger et. al. ropensci https://ropensci.org/packages/
- Susan Holmes, Wolfgang Huber Modern Statistics for Modern Biology https://github.com/helixcn/awsome-R-ecology-evolution
- Li Dongfeng R 语言教程 https://www.math.pku.edu.cn/teachers/lidf/docs/Rbook/html/_Rbook/Rbook.pdf
- Wang Minjie 数据科学中的R语言 ： https://bookdown.org/wangminjie/R4DS/ Video https://www.bilibili.com/video/BV1VE411N765/
- Jenny Bryan Data wrangling, exploration, and analysis with R https://stat545.com/
- Winston Chang R Graphics Cookbook, 2nd edition https://r-graphics.org/ 主要介绍ggplot2的用法
- Daniel Borcard, François Gillet and Pierre Legendre Numerical Ecology with R, second edition http://adn.biol.umontreal.ca/~numericalecology/numecolR/ 数量生态学在R中的实现，赖江山博士翻译过中文版。
- Emmanuel Paradis Analysis of Phylogenetics and Evolution with R https://www.springer.com/gp/book/9781461417422
- Emmanuel Paradis Population Genomics with R 1st Edition https://www.amazon.com/Population-Genomics-R-Emmanuel-Paradis/dp/1138608181
- Robin Lovelace, Jakub Nowosad and Jannes Muenchow Geocomputation with R https://geocompr.robinlovelace.net/
- Roger D. Peng (2020) R programming for data sciences (https://bookdown.org/rdpeng/rprogdatascience/)
- Wickham, H R for data science (https://r4ds.had.co.nz/)
- Claus O. Wilke Fundamentals of Data Visualization (https://clauswilke.com/dataviz/)
- Jack Taylor Data Skills for Reproducible Science https://psyteachr.github.io/msc-data-skills/
- Hadley Wickham The tidyverse style guide https://style.tidyverse.org/
- Danielle Navarro Learning statistics with R https://github.com/djnavarro/rbook https://tidylsr.djnavarro.net/
- Edzer Pebesma, Roger Bivand Spatial Data Science with applications in R https://keen-swartz-3146c4.netlify.app/ 空间分析经典
- Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Second Edition https://web.stanford.edu/~hastie/ElemStatLearn/ 机器学习经典
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning. New York: springer. (https://www.statlearning.com/) 机器学习最好的入门图书之一
- Guisan, A., Thuiller, W., & Zimmermann, N. E. (2017). Habitat suitability and distribution models: with applications in R. Cambridge University Press. code: https://github.com/vdicolab/hsdm R语言物种分布模型入门
- Gotelli, N. J., & Ellison, A. M. (2004). A primer of ecological statistics (Vol. 1). Sunderland: Sinauer Associates. 生态学数据分析经典入门
- Michael Whitlock and Dolph Schluter The Analysis of Biological Data https://whitlockschluter3e.zoology.ubc.ca/ UBC的生物学数据分析
- Altuna Akalin Computational Genomics with R https://compgenomr.github.io/book/ 计算基因组学
- Zhang Jingxin R语言编程--基于tidyverse (https://github.com/zhjx19/introR)
- 邓飞 R语言进阶笔记 (https://dengfei2013.gitee.io/r-language-advanced/)
- Xie Yihui bookdown: Authoring Books and Technical Documents with R Markdown https://bookdown.org/yihui/bookdown/
- Xie Yihui, Christophe Dervieux, Emily Riederer R Markdown Cookbook https://bookdown.org/yihui/rmarkdown-cookbook/
- Xie Yihui, Amber Thomas, Alison Presmanes Hill blogdown: Creating Websites with R Markdown https://bookdown.org/yihui/blogdown/ 用Rmarkdown写博客
- Eric Nord Essential-R https://online.stat.psu.edu/stat485/lesson/essential-r-notes-learning-r
- University of Massachusetts Boston Bio607 生物统计课程 Biol 607: Intro to Computational Data Analysis for Biology (https://biol607.github.io/)
- Geography 503: GEO Spatial Data Science https://github.com/AdamWilsonLabEDU/GEO511 空间分析
- Walter Jetz, Erica Stuber, Cory Merow, Scott Rinnan, Brett Jesmer, Gabriel Reygondeau, Ruth Oliver (2019) EEB 713, Spring 2019: Concepts and methods in global biodiversity change research in the age of big data https://cmerow.github.io/YaleBGCCourses/ https://github.com/cmerow/RDataScience 耶鲁大学的大数据与生态学课程
- François Michonneau and Auriel Fournier Data Analysis and Visualization in R for Ecologists https://datacarpentry.org/R-ecology-lesson/ 为广泛采用的DataCarpentry的课程材料
- David Zelený Analysis of community ecology data in R https://www.davidzeleny.net/anadat-r/doku.php/en:start 群落数据分析
- Jenny Bryan, the STAT 545 TAs, Jim Hester Happy Git and GitHub for the useR https://happygitwithr.com/ 学习使用git和github
- R for Reproducible Scientific Analysis http://swcarpentry.github.io/r-novice-gapminder/
- DATA SCIENCE FOR ECOLOGISTS AND ENVIRONMENTAL SCIENTISTS (https://ourcodingclub.github.io/course.html)
- STAT 485, Eberly College of Science, The Pennsylvania State University https://online.stat.psu.edu/stat484/
- STAT 485, Eberly College of Science, The Pennsylvania State University https://online.stat.psu.edu/stat485/
- Karl Broman R package primer a minimal tutorial https://kbroman.org/pkg_primer/ 编写R程序包
- Robert J. Hijmans and Jane Elith Species distribution modeling https://rspatial.org/raster/sdm/index.html dismo、raster、terra等程序包的作者Robert Hijmans写的空间分析材料
- R Studio Cheatsheets: https://www.rstudio.com/resources/cheatsheets/
- 统计之都： https://cosx.org/
- Hadley Wickham的个人网站，介绍tidyverse: http://hadley.nz/
- 谢益辉的个人网站: https://yihui.org/
- Karl Broman的个人网站：https://kbroman.org/talks.html
- Robin Lovelace的个人网站： https://www.robinlovelace.net/
- Adam B. Smith 的个人网站 https://github.com/adamlilith
- R语言编程 https://www.bilibili.com/video/BV1D7411T77Z?from=search&seid=1630947937465437556
- YOUTUBE R语言编程合集: https://pan.baidu.com/s/1_wyj1sTeb7wp4cWFwk6Vzw 提取码：6pfj
- 英国生态学会 Guides to Better Science指南系列 https://www.britishecologicalsociety.org/publications/guides-to/
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