【精心整理】2022年各专业领域全网最新最顶级的R语言新书
由张敬信和 tidy R语言群部分群友整理分享,绝对最新、最顶级,欢迎补充: 专业领域TOP-R书籍或资源作者书籍地址R编程R语言编程:基于tidyverse张敬信https://zhuanlan.zhihu.com/p/467134727R编程R语言教程李东风…
专业领域TOP-R书籍或资源作者书籍地址R编程R语言编程:基于tidyverse张敬信https://zhuanlan.zhihu.com/p/467134727R编程R语言教程李东风https://www.math.pku.edu.cn/teachers/lidf/docs/Rbook/html/_Rbook/index.htmlR编程Advanced RHadleyhttps://adv-r.hadley.nz/R编程Efficient R programmingColin Gillespie, Robin Lovelacehttps://csgillespie.github.io/efficientR/R可视化ggplot2: Elegant Graphics for Data AnalysisHadleyhttps://ggplot2-book.org/R可视化Interactive web-based data visualization with R, plotly, and shinyCarson Sieverthttps://plotly-r.com/R可视化现代统计图形赵鹏,谢益辉,黄湘云https://bookdown.org/xiangyun/msg/R可视化rstudio::conf 2020 data visualization workshopKieran Healyhttps://github.com/rstudio-conf-2020/datavizR可视化R Graphics Cookbook, 2nd editionWinston Changhttps://r-graphics.org/R可视化R语言数据可视化之美张杰https://gitee.com/easyshu/Beautiful-Visualization-with-R文档沟通R Markdown Cookbook谢益辉https://bookdown.org/yihui/rmarkdown-cookbook/文档沟通R Markdown: The Definitive Guide谢益辉https://bookdown.org/yihui/rmarkdown/文档沟通bookdown: Authoring Books and Technical Documents with R Markdown谢益辉https://bookdown.org/yihui/bookdown/开发R包R PackagesHadleyhttps://r-pkgs.org/ShinyMastering ShinyHadleyhttps://mastering-shiny.org/ShinyEngineering Production-Grade Shiny AppsColin Fay, Sébastien Rochette, Vincent Guyader and Cervan Girardhttps://engineering-shiny.org/ShinyJavaScript for RJohn Coenehttps://javascript-for-r.com/应用统计Statistical Inference via Data ScienceChester Ismay and Albert Y. Kimhttps://moderndive.com/应用统计Introduction to Modern StatisticsMine Çetinkaya-Rundelhttps://openintro-ims.netlify.app/应用统计现代应用统计与 R 语言黄湘云https://bookdown.org/xiangyun/masr/应用统计统计学与R语言(课件)张敬信tidy-R语言2群(222427909)群文件实验设计The Grammar of Experimental DesignsEmi Tanakahttps://emitanaka.org/edibble-book/贝叶斯Doing Bayesian Data Analysis in brms and the tidyverseA Solomon Kurzhttps://bookdown.org/content/3686/贝叶斯Introduction to Bayesian Econometrics: A GUIded tour using RAndrés Ramírez-Hassanhttps://bookdown.org/aramir21/IntroductionBayesianEconometricsGuidedTour/贝叶斯An Introduction to Bayesian Reasoning and MethodsKevin Rosshttps://bookdown.org/kevin_davisross/bayesian-reasoning-and-methods/贝叶斯Statistical rethinking with brms, ggplot2, and the tidyverse: Second editionA Solomon Kurzhttps://bookdown.org/content/70a06054-8138-4d90-aaa0-895f57aab1b4/数据科学R for Data ScienceHadleyhttps://r4ds.had.co.nz/数据科学Tidyverse Skills for Data Science in RCarrie Wright, Shannon Ellis, Stephanie Hicks, and Roger D. Penghttps://leanpub.com/tidyverseskillsdatascience数据科学数据科学中的R语言王敏杰https://bookdown.org/wangminjie/R4DS/数据科学Data Science Live BookPablo Casashttps://livebook.datascienceheroes.com/数据科学R语言实战(第三版)Rob Kabacoffhttps://livebook.manning.com/book/r-in-action-third-edition/数据科学Modern Data Science with R (2nd)Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Hortonhttps://mdsr-book.github.io/mdsr2e/机器学习mlr3book官方出品https://mlr3book.mlr-org.com/机器学习Tidy Modeling with RMAX KUHN AND JULIASILGEhttps://www.tmwr.org/index.html机器学习Hands-On Machine Learning with RBradley Boehmke & Brandon Greenwellhttps://bradleyboehmke.github.io/HOML/机器学习Feature Engineering and Selection: A Practical Approach for Predictive ModelsMax Kuhn and Kjell Johnsonhttp://www.feat.engineering/机器学习An Introduction to Statistical Learning with RGareth James, Daniela Witten, Trevor Hastie, Robert Tibshiranihttps://trevorhastie.github.io/ISLR/
https://emilhvitfeldt.github.io/ISLR-tidymodels-labs/index.html机器学习R机器学习:基于mlr3verse(课件)张敬信tidy-R语言2群(222427909)群文件深度学习Deep Learning with R, Second EditionFrançois Chollet with Tomasz Kalinowski and J. J. Allairehttps://www.manning.com/books/deep-learning-with-r-second-edition文本挖掘Supervised Machine Learning for Text Analysis in REMIL HVITFELDT AND JULIA SILGEhttps://smltar.com/文本挖掘QUANTEDA TUTORIALSKohei Watanabe and Stefan Müllerhttps://tutorials.quanteda.io/文本挖掘Text Analysis TutorialsLADALhttps://slcladal.github.io/index.html计量Introduction to Econometrics with RChristoph Hanck, Martin Arnold, Alexander Gerber, and Martin Schmelzerhttps://www.econometrics-with-r.org/计量Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in RPaul Roback and Julie Leglerhttps://bookdown.org/roback/bookdown-BeyondMLR/计量Mixed Models with R Getting started with random effectsMichael Clarkhttps://m-clark.github.io/mixed-models-with-R/时间序列Forecasting: Principles and Practice (3rd ed)RobJHyndmanhttps://otexts.com/fpp3/时间序列金融时间序列分析讲义李东风https://www.math.pku.edu.cn/teachers/lidf/course/fts/ftsnotes/html/_ftsnotes/index.html金融Tidy Finance with RChristoph Scheuch, Stefan Voigt, and Patrick Weisshttps://tidy-finance.org/空间数据分析Geocomputation with RRobin Lovelace, Jakub Nowosad, Jannes Muenchowhttps://geocompr.robinlovelace.net空间数据分析Spatial Data Science with applications in REdzer Pebesma, Roger Bivandhttps://keen-swartz-3146c4.netlify.app/空间数据分析NHH ECS530 2021 course: Spatial data analysis (with R)Roger Bivandhttps://rsbivand.github.io/ECS530_h21/因果推断The Effect: An Introduction to Research Design and CausalityNick Huntington-Kleinhttps://theeffectbook.net/因果推断Causal Inference: The MixtapeScott Cunninghamhttps://mixtape.scunning.com/index.html社会科学Data Analytics for the Social Sciences Applications in RG. David Garson社会科学A Business Analyst’s Introduction to Business AnalyticsAdam Fleischhackerhttps://www.causact.com/社会科学Computing for the Social SciencesBenjamin Soltoffhttps://cfss.uchicago.edu/notes/intro-to-course/网络分析Methods for Network AnalysisMark Hoffmanhttps://bookdown.org/markhoff/social_network_analysis/网络分析Handbook of Graphs and Networks in People Analytics: With Examples in R and PythonKeith McNultyhttps://ona-book.org/网络建模workshop2020_Network Modeling for Epidemicshttp://statnet.orghttps://statnet.org/nme/d1.html模型计算Model Estimation by Example Demonstrations with RMichael Clarkhttps://m-clark.github.io/models-by-example/模型计算Computer-age Calculus with RDaniel Kaplanhttps://dtkaplan.github.io/RforCalculus/大数据Mastering Spark with RJavier Luraschi, Kevin Kuo, Edgar Ruizhttps://therinspark.com/元分析Doing Meta-Analysis in R: A Hands-on GuideHarrer, M., Cuijpers, P., Furukawa, T.A., & Ebert, D.Dhttps://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/生存分析Applied Survival Analysis Using RDirk F. Moore