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簡介

原文：統(tǒng)計學(xué) & R學(xué)習(xí)資源

編輯：莊閃閃的R語言手冊，pythonic生物人

作者：CoffeeCat^[1]

轉(zhuǎn)載于：Coffee學(xué)生物統(tǒng)計的地方^[2]

注：有些鏈接需要科學(xué)上網(wǎng)/較硬的英文閱讀能力才能愉快地體驗知識/技術(shù)帶來的快感。如果公眾號閱讀體驗不佳，可以在文末原文鏈接跳轉(zhuǎn)。

1.個人主頁、博客、社區(qū)、論壇

北大李東風(fēng)^[3]

中科大張偉平^[4]

謝益輝(人稱謝大大)^[5]：統(tǒng)計之都論壇^[6]創(chuàng)始人(與之有關(guān)的統(tǒng)計之都^[7])

統(tǒng)計學(xué)資源鏈接大全^[8]：知名 統(tǒng)計系、統(tǒng)計學(xué)會、統(tǒng)計組織、統(tǒng)計軟件、統(tǒng)計期刊的官網(wǎng)（該老師的主頁^[9]）

斯坦福大學(xué)統(tǒng)計系：Trevor Hastie^[10]、Jerome H. Friedman^[11]、Rob Tibshirani^[12]

顧凱^[13]：統(tǒng)計分析師；R、SAS、醫(yī)學(xué)統(tǒng)計博主

revolutionanalytics^[14]：一個R社區(qū)(Revolution Analytics開發(fā)了Revolution R，后來被微軟收購)

r-bloggers^[15]：R博客

Statistics How To^[16]：統(tǒng)計學(xué)與SPSS, Minitab, Excel

Statistical Modeling, Causal Inference, and Social Science^[17]：哥大統(tǒng)計“統(tǒng)計建模，因果推論和社會科學(xué)”

Error Statistics Philosophy^[18]：統(tǒng)計哲學(xué)家Deborah G. Mayo

Simply Statistics^[19]：三位生物統(tǒng)計專家的Jeff Leek^[20], Roger Peng^[21], Rafa Irizarry^[22]的博客

FLOWINGDATA^[23]：分析、數(shù)據(jù)可視化(付費)

Statistics by Jim^[24]：使統(tǒng)計更直觀

2.電子書、課程

Library Genesis^[25]：外文電子書大全。結(jié)合亞馬遜^[26]、Routledge^[27](Chapman \& Hall/CRC Texts in Statistical Science^[28]、Chapman \& Hall/CRC Biostatistics Series^[29])、Springer^[30](Springer Statistics^[31])、Elsevier^[32]、Oxford University Press^[33](Probability \& Statistics^[34])、Cambridge University Press^[35](Statistics and probability^[36])……幾乎可以找到你想要的一切。

電子書From Bookdown^[37]:

鏈接網(wǎng)頁上方許多按鈕是可以按的，請自行探索

數(shù)據(jù)科學(xué)中的R語言^[38]：非常全面的R教程

R語言忍者秘籍^[39]：謝大大的R教程

現(xiàn)代統(tǒng)計圖形^[40]：謝大大R可視化的佳作

Statistics Handbook^[41]：R語言統(tǒng)計分析小冊子（有類似的中文的：薛毅老師的《統(tǒng)計建模與Ｒ軟件》）

R for Data Science^[42]：COPSS獎得主、RStudio首席科學(xué)家Hadley Wickham^[43]的傾力之作，學(xué)習(xí)tidyverse^[44]重要語法的不二之選

Advanced R^[45]：Hadley Wickham^[46]的提高R語言編程技能(本書的習(xí)題解答^[47])

R Graphics Cookbook^[48]：R基礎(chǔ)繪圖圣經(jīng)

Data Visualization with R^[49]：R語言實戰(zhàn)的作者的另一個作品

R Gallery Book^[50]：The R Graph Gallery^[51]的完整指南

Beyond Multiple Linear Regression^[52]：回歸分析的拓展：廣義線性模型和分層模型

Applied longitudinal data analysis in brms and the tidyverse^[53]：縱向數(shù)據(jù)分析

Interpretable Machine Learning^[54]：可解釋機器學(xué)習(xí)

現(xiàn)代應(yīng)用統(tǒng)計與R語言^[55]：顧名思義

R語言教程^[56]：同上

統(tǒng)計計算^[57]：同上

零基礎(chǔ)學(xué)R語言^[58]：同上

Rmd權(quán)威指南^[59]：by謝大大

Rmd中文指南^[60]：這本似乎還未完待續(xù)

blogdown^[61]：謝大大用R寫博客

bookdown^[62]：謝大大用R寫書

電子書、在線課程、教程

生物統(tǒng)計手冊：Handbook of Biological Statistics^[63] 以及它的R陪同：An R Companion for the Handbook of Biological Statistics^[64]

部分免費的數(shù)據(jù)科學(xué)課程：DataCamp^[65]、Dataquest^[66]、Datanovia^[67]

Biomedical Data Science^[68]：生物醫(yī)學(xué)數(shù)據(jù)科學(xué)

Introduction to Econometrics with R^[69]：R語言計量經(jīng)濟學(xué)導(dǎo)論（量：第四聲）

Forecasting: Principles and Practice (3rd ed)^[70]：旨在全面介紹預(yù)測方法

以下兩本是統(tǒng)計學(xué)習(xí)圣經(jīng)：

An Introduction to Statistical Learning\(1 ed.\)^[71]：ISLR第一版(2021年夏季出第二版：官網(wǎng)^[72])

The Elements of Statistical Learning^[73]：ESL官網(wǎng)

3.R Packages

Awesome R^[74]：優(yōu)秀的R包和資料

tidyverse^[75]、tidymodels^[76]：分別代表數(shù)據(jù)分析、統(tǒng)計模型的一套流程

ggplot2^[77] & its 82 extensions^[78]：可視化領(lǐng)域的少林

shiny^[79]：交互、可視化、分析平臺(它的畫廊^[80])

plotly^[81]：可視化另一佳作

htmlwidgets for R^[82]：126個HTML圖形插件

R任務(wù)視圖^[83]：包含了四十多個熱門主題，每個主題下面都有幾十個包供你選擇

xaringan^[84]：謝大大用R寫ppt英文模板^[85]、中文模板^[86]

R數(shù)據(jù)集：R自帶的datesets^[87] package、更全的Rdatasets^[88]（不是package，只是含有dataset的package的信息）

4.Others

R官方文檔^[89]、R貢獻文檔^[90]

timeline-of-statistics.pdf^[91]：簡明統(tǒng)計學(xué)史(by ASA)

RStudio的cheatsheet^[92]：快速回顧一些R包的基本語法(支持郵件訂閱；鼓勵大家參與到該網(wǎng)址中的中文翻譯項目；當然除了由RStudio發(fā)布的cheatsheet，還有其他機構(gòu)也會發(fā)布，比如DataCamp的cheatsheet^[93]，其中還有Python的)

幫助自學(xué)：

UCB統(tǒng)計系推薦閱讀清單^[94]

ASA的統(tǒng)計學(xué)本科課程大綱^[95]

閱讀材料：

Statistical Science Conversations^[96]：IMS的與一百多位統(tǒng)計學(xué)家的訪談專欄

How R Helps Airbnb Make the Most of its Data^[97]

Why Is It Called That Way\?\! – Origin and Meaning of R Package Names^[98]：一些R包名稱的由來

Tidy Data^[99]：by Hadley Wickham

未完待續(xù).

參考資料

[1]

CoffeeCat: https://www.zhihu.com/people/CoffeeCat2000

[2]

Coffee學(xué)生物統(tǒng)計的地方: https://www.zhihu.com/column/c_1242033096192262144

[3]

北大李東風(fēng): https://link.zhihu.com/?target=https%3A//www.math.pku.edu.cn/teachers/lidf/

[4]

中科大張偉平: https://link.zhihu.com/?target=http%3A//staff.ustc.edu.cn/~zwp/teach.htm

[5]

謝益輝: https://link.zhihu.com/?target=https%3A//yihui.org/

[6]

統(tǒng)計之都論壇: https://link.zhihu.com/?target=https%3A//d.cosx.org/

[7]

統(tǒng)計之都: https://link.zhihu.com/?target=https%3A//cosx.org/

[8]

統(tǒng)計學(xué)資源鏈接大全: https://link.zhihu.com/?target=http%3A//staff.ustc.edu.cn/~ynyang/stat-resources.html

[9]

該老師的主頁: https://link.zhihu.com/?target=http%3A//staff.ustc.edu.cn/~ynyang

[10]

Trevor Hastie: https://link.zhihu.com/?target=http%3A//www-stat.stanford.edu/~hastie/

[11]

Jerome H. Friedman: https://link.zhihu.com/?target=http%3A//statweb.stanford.edu/~jhf/

[12]

Rob Tibshirani: https://link.zhihu.com/?target=http%3A//statweb.stanford.edu/~tibs/

[13]

顧凱: https://link.zhihu.com/?target=https%3A//www.bioinfo-scrounger.com/

[14]

revolutionanalytics: https://link.zhihu.com/?target=https%3A//blog.revolutionanalytics.com/

[15]

r-bloggers: https://link.zhihu.com/?target=https%3A//www.r-bloggers.com/

[16]

Statistics How To: https://link.zhihu.com/?target=https%3A//www.statisticshowto.com/

[17]

Statistical Modeling, Causal Inference, and Social Science: https://link.zhihu.com/?target=https%3A//statmodeling.stat.columbia.edu/

[18]

Error Statistics Philosophy: https://link.zhihu.com/?target=https%3A//errorstatistics.com/

[19]

Simply Statistics: https://link.zhihu.com/?target=https%3A//simplystatistics.org/

[20]

Jeff Leek: https://link.zhihu.com/?target=http%3A//www.biostat.jhsph.edu/~jleek/research.html

[21]

Roger Peng: https://link.zhihu.com/?target=http%3A//www.biostat.jhsph.edu/~rpeng/

[22]

Rafa Irizarry: https://link.zhihu.com/?target=http%3A//rafalab.dfci.harvard.edu/

[23]

FLOWINGDATA: https://link.zhihu.com/?target=https%3A//flowingdata.com/

[24]

Statistics by Jim: https://link.zhihu.com/?target=https%3A//statisticsbyjim.com/

[25]

Library Genesis: https://link.zhihu.com/?target=http%3A//libgen.rs/

[26]

亞馬遜: https://link.zhihu.com/?target=http%3A//amazon.com/

[27]

Routledge: https://link.zhihu.com/?target=https%3A//www.routledge.com/

[28]

Chapman & Hall/CRC Texts in Statistical Science: https://link.zhihu.com/?target=https%3A//www.routledge.com/Chapman--HallCRC-Texts-in-Statistical-Science/book-series/CHTEXSTASCI

[29]

Chapman & Hall/CRC Biostatistics Series: https://link.zhihu.com/?target=https%3A//www.routledge.com/Chapman--HallCRC-Biostatistics-Series/book-series/CHBIOSTATIS

[30]

Springer: https://link.zhihu.com/?target=https%3A//www.springer.com/

[31]

Springer Statistics: https://link.zhihu.com/?target=https%3A//www.springer.com/gp/statistics

[32]

Elsevier: https://link.zhihu.com/?target=https%3A//www.elsevier.com/

[33]

Oxford University Press: https://link.zhihu.com/?target=https%3A//global.oup.com/academic/%3Fcc%3Dus%26lang%3Den%26

[34]

Probability & Statistics: https://link.zhihu.com/?target=https%3A//global.oup.com/academic/category/science-and-mathematics/mathematics/probability-and-statistics/%3Fcc%3Dus%26lang%3Den%26

[35]

Cambridge University Press: https://link.zhihu.com/?target=https%3A//www.cambridge.org/cn/academic

[36]

Statistics and probability: https://link.zhihu.com/?target=https%3A//www.cambridge.org/cn/academic/subjects/statistics-probability/

[37]

Bookdown: https://link.zhihu.com/?target=https%3A//bookdown.org/home/archive/

[38]

數(shù)據(jù)科學(xué)中的R語言: https://link.zhihu.com/?target=https%3A//bookdown.org/wangminjie/R4DS/

[39]

R語言忍者秘籍: https://link.zhihu.com/?target=https%3A//bookdown.org/yihui/r-ninja/

[40]

現(xiàn)代統(tǒng)計圖形: https://link.zhihu.com/?target=https%3A//bookdown.org/xiangyun/msg/

[41]

Statistics Handbook: https://link.zhihu.com/?target=https%3A//bookdown.org/mpfoley1973/statistics/

[42]

R for Data Science: https://link.zhihu.com/?target=https%3A//bookdown.org/roy_schumacher/r4ds/

[43]

Hadley Wickham: https://link.zhihu.com/?target=http%3A//hadley.nz/

[44]

tidyverse: https://link.zhihu.com/?target=https%3A//www.tidyverse.org/packages/

[45]

Advanced R: https://link.zhihu.com/?target=https%3A//adv-r.hadley.nz/

[46]

Hadley Wickham: https://link.zhihu.com/?target=http%3A//hadley.nz/

[47]

習(xí)題解答: https://link.zhihu.com/?target=https%3A//advanced-r-solutions.rbind.io/

[48]

R Graphics Cookbook: https://link.zhihu.com/?target=https%3A//r-graphics.org/

[49]

Data Visualization with R: https://link.zhihu.com/?target=https%3A//rkabacoff.github.io/datavis/

[50]

R Gallery Book: https://link.zhihu.com/?target=https%3A//bookdown.org/content/b298e479-b1ab-49fa-b83d-a57c2b034d49/

[51]

The R Graph Gallery: https://link.zhihu.com/?target=https%3A//www.r-graph-gallery.com/

[52]

Beyond Multiple Linear Regression: https://link.zhihu.com/?target=https%3A//bookdown.org/roback/bookdown-BeyondMLR/

[53]

Applied longitudinal data analysis in brms and the tidyverse: https://link.zhihu.com/?target=https%3A//bookdown.org/content/ef0b28f7-8bdf-4ba7-ae2c-bc2b1f012283/

[54]

Interpretable Machine Learning: https://link.zhihu.com/?target=https%3A//christophm.github.io/interpretable-ml-book/

[55]

現(xiàn)代應(yīng)用統(tǒng)計與R語言: https://link.zhihu.com/?target=https%3A//bookdown.org/xiangyun/masr/

[56]

R語言教程: https://link.zhihu.com/?target=https%3A//www.math.pku.edu.cn/teachers/lidf/docs/Rbook/html/_Rbook/index.html

[57]

統(tǒng)計計算: https://link.zhihu.com/?target=https%3A//www.math.pku.edu.cn/teachers/lidf/docs/statcomp/html/_statcompbook/index.html

[58]

零基礎(chǔ)學(xué)R語言: https://link.zhihu.com/?target=https%3A//bookdown.org/qiyuandong/intro_r/

[59]

Rmd權(quán)威指南: https://link.zhihu.com/?target=https%3A//bookdown.org/yihui/rmarkdown/

[60]

Rmd中文指南: https://link.zhihu.com/?target=https%3A//bookdown.org/qiushi/rmarkdown-guide/

[61]

blogdown: https://link.zhihu.com/?target=https%3A//bookdown.org/yihui/blogdown/

[62]

bookdown: https://link.zhihu.com/?target=https%3A//bookdown.org/home/about/

[63]

Handbook of Biological Statistics: https://link.zhihu.com/?target=http%3A//www.biostathandbook.com/

[64]

An R Companion for the Handbook of Biological Statistics: https://link.zhihu.com/?target=https%3A//rcompanion.org/rcompanion/index.html

[65]

DataCamp: https://zhuanlan.zhihu.com/p/366590161/www.datacamp.com

[66]

Dataquest: https://link.zhihu.com/?target=https%3A//www.dataquest.io/

[67]

Datanovia: https://link.zhihu.com/?target=https%3A//www.datanovia.com/en/

[68]

Biomedical Data Science: https://link.zhihu.com/?target=http%3A//genomicsclass.github.io/book/

[69]

Introduction to Econometrics with R: https://link.zhihu.com/?target=https%3A//www.econometrics-with-r.org/

[70]

Forecasting: Principles and Practice (3rd ed): https://link.zhihu.com/?target=https%3A//otexts.com/fpp3/index.html

[71]

An Introduction to Statistical Learning(1 ed.): https://link.zhihu.com/?target=https%3A//www.statlearning.com/s/ISLRSeventhPrinting.pdf

[72]

官網(wǎng): https://link.zhihu.com/?target=https%3A//www.statlearning.com/

[73]

The Elements of Statistical Learning: https://link.zhihu.com/?target=https%3A//web.stanford.edu/~hastie/ElemStatLearn/

[74]

Awesome R: https://link.zhihu.com/?target=https%3A//github.com/qinwf/awesome-R/blob/master/README.md

[75]

tidyverse: https://link.zhihu.com/?target=https%3A//www.tidyverse.org/packages/

[76]

tidymodels: https://link.zhihu.com/?target=https%3A//www.tidymodels.org/packages/

[77]

ggplot2: https://link.zhihu.com/?target=https%3A//ggplot2.tidyverse.org/

[78]

its 82 extensions: https://link.zhihu.com/?target=https%3A//exts.ggplot2.tidyverse.org/gallery/

[79]

shiny: https://link.zhihu.com/?target=https%3A//shiny.rstudio.com/

[80]

它的畫廊: https://link.zhihu.com/?target=https%3A//shiny.rstudio.com/gallery/

[81]

plotly: https://link.zhihu.com/?target=https%3A//plotly.com/r/

[82]

htmlwidgets for R: https://link.zhihu.com/?target=https%3A//gallery.htmlwidgets.org/

[83]

R任務(wù)視圖: https://link.zhihu.com/?target=https%3A//cran.r-project.org/web/views/

[84]

xaringan: https://link.zhihu.com/?target=https%3A//github.com/yihui/xaringan

[85]

英文模板: https://link.zhihu.com/?target=https%3A//slides.yihui.org/xaringan/

[86]

中文模板: https://link.zhihu.com/?target=https%3A//slides.yihui.org/xaringan/zh-CN.html

[87]

datesets: https://link.zhihu.com/?target=https%3A//stat.ethz.ch/R-manual/R-devel/library/datasets/html/00Index.html

[88]

Rdatasets: https://link.zhihu.com/?target=https%3A//vincentarelbundock.github.io/Rdatasets/articles/data.html

[89]

R官方文檔: https://link.zhihu.com/?target=https%3A//www.r-project.org/other-docs.html

[90]

R貢獻文檔: https://link.zhihu.com/?target=https%3A//cran.r-project.org/other-docs.html

[91]

timeline-of-statistics.pdf: https://link.zhihu.com/?target=http%3A//www.statslife.org.uk/images/pdf/timeline-of-statistics.pdf

[92]

RStudio的cheatsheet: https://link.zhihu.com/?target=https%3A//www.rstudio.com/resources/cheatsheets/

[93]

DataCamp的cheatsheet: https://link.zhihu.com/?target=https%3A//www.datacamp.com/community/data-science-cheatsheets

[94]

UCB統(tǒng)計系推薦閱讀清單: https://link.zhihu.com/?target=http%3A//sgsa.berkeley.edu/current_students/books/

[95]

ASA的統(tǒng)計學(xué)本科課程大綱: https://link.zhihu.com/?target=http%3A//www.amstat.org/education/pdfs/guidelines2014-11-15.pdf

[96]

Statistical Science Conversations: https://link.zhihu.com/?target=https%3A//imstat.org/journals-and-publications/statistical-science/conversations/

[97]

How R Helps Airbnb Make the Most of its Data: https://link.zhihu.com/?target=https%3A//www.tandfonline.com/doi/full/10.1080/00031305.2017.1392362

[98]

Why Is It Called That Way?! – Origin and Meaning of R Package Names: https://link.zhihu.com/?target=https%3A//www.statworx.com/en/blog/why-is-it-called-that-way-origin-and-meaning-of-r-package-names/

[99]

Tidy Data: https://link.zhihu.com/?target=https%3A//vita.had.co.nz/papers/tidy-data.pdf

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100 個統(tǒng)計學(xué)和 R 語言學(xué)習(xí)資源網(wǎng)站

簡介

1.個人主頁、博客、社區(qū)、論壇

2.電子書、課程

電子書From Bookdown[37]:

電子書、在線課程、教程