2020-08-25 R学习资源

转载自https://github.com/iamericfletcher/r-learning-resources/blob/main/code_of_conduct.md

内容

• 主题
• 博客
• 图书
• 实践社区
• Podcasts
• YouTube

主题

函数

• stat.berkeley - Introdcution to Functions - By the organizers of Integrating Computing into the Statistics Curricula (U.C. Berkeley).

数学

• Descriptive Statistics - By Salvatore S. Mangiafico.
• Essential Math for Data Science - By Tirthajyoti Sarkar.
• Gallery of Statistical Distributions - By NIST/SEMATECH.
• Plotting distributions (ggplot2) - By Winston Chang.

空间

• An Introduction to Choropleth maps in R - By Henry Cann.
• Getting latitude & longitude for any address - By Brecht Vermeire.
• Map Plots Created With R And Ggmap - By Laura Ellis.
• Plot Spatial Data / Shapefiles in R - From the math et al YoutTube channel.

Shiny

• Awesome R Shiny - A curated list of resources for R Shiny (created by Rob Gilmore).

可视化

• Awesome ggplot2 - A curated list of awesome ggplot2 tutorials, packages etc. (created by Erik Gahner Larsen).
• Chart Suggestions — A Thought-Starter - By Andrew Abela, Ph.D.
• Color Hex Color Codes - By the people at Color-Hex.
• Combine Multiple GGPlots into a Figure - By Alboukadel Kassambara.
• From Data to Viz - By Yan Holtz.
• ggplot2 extensions - gallery - Maintained by Daniel Emaasit.
• ggplot2 - Modify components of a theme - By the developers of Tidyverse.
• r-color-palettes - Comprehensive list of color palettes available in r created by Emil Hvitfeldt.
• The Data Visualization Catalogue - By Severino Ribecca.
• The Graphic Continuum - By Jonathan Schwabish, and Severino Ribecca.
• The R Graph Gallery - By Yan Holtz.
• Time Based Heatmaps in R - By Laura Ellis.
• Top 50 ggplot2 Visualizations - The Master List (With Full R Code) - By Selva Prabhakaran.

数据处理

• Data manipulation in r using data frames - an extensive article of basics - By dataENQ.
• Data Wrangling Part 1: Basic to Advanced Ways to Select Columns - By Suzan Baert.
• Data Wrangling Part 2: Transforming your columns into the right shape - By Suzan Baert.
• Data Wrangling Part 3: Basic and more advanced ways to filter rows - By Suzan Baert.
• Data Wrangling Part 4: Summarizing and slicing your data - By Suzan Baert.

其它

• A Data.Table and Dplyr Tour - By Atrebas.
• Fakir - Create Fake Data in R for Tutorials - By Colin Fay.
• Structure and Interpretation of Computer Programs - Authors: Harold Abelson and
  Gerald Jay Sussman with Julie Sussman.
• Subreddit - r/Rlanguage - R Programming Language - Reddit Subreddit.
• Subreddit - r/programming - The R Project for Statistical Computing - Reddit Subreddit.
• Syntax equivalents: base R vs Tidyverse - By Hugo Tavares.
• Think Like a Programmer: An Introduction to Creative Problem Solving - Author: V. Anton Spraul.

博客

• Avery Robbins - By Avery Robbins.
• Tony ElHabr - By Tony ElHabr.
• Cédric Scherer - By Cédric Scherer.
• Data Imaginist - By Thomas Lin Pedersen.
• Data meets Narrative - By Rebecca Barter.
• HighlandR - By John Mackintosh.
• Julia Silge - By Julia Silge.
• rweekly - Weekly Updates from the Entire R Community by Bruce Zhao, Colin Fay, Eric Nantz, Hao Zhu, Jon Calder, Jonathan Carroll, Maëlle Salmon, Ryo Nakagawara, and Wolfram Qin.
• r-bloggers - By Tal Galili.
• r4stats - By Bob Muenchen.
• R Coder - By J.C. Soage.
• Ryo Nakagawara - By Ryo Nakagawara.
• Statistics Globe - By Joachim Schork.

图书

• A Sufficient Introduction to R - Author: Derek L. Sonderegger.
• An Introduction to Statistical Learning - Authors: Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
• Advanced R - Author: Hadley Wickham.
• An Introduction to R - Authors: W. N. Venables, D. M. Smith and the R Core Team.
• Answering Questions with Data - Author: Matthew J. C. Crump.
• Exploratory Data Analysis with R - Author: Roger D. Peng.
• Geocomputation with R - Authors: Robin Lovelace, Jakub Nowosad, Jannes Muenchow.
• ggplot2: Elegant Graphics for Data Analysis - Author: Hadley Wickham.
• Handling and Processing Strings in R - Author: Gaston Sanchez.
• Introduction to R & Spatial Data with Raster and Terra - Author: Professor Robert Hijmans.
• Learning Statistics with R - Author: Danielle Navarro.
• Practical Regression and Anova using R - Author: Julian Faraway.
• Practicals and Exercises - Author: Charles DiMaggio, PhD.
• R Cookbook, 2nd Edition - Authors: James (JD) Long, Paul Teetor.
• R for Data Science - Authors: Garrett Grolemund, Hadley Wickham.
• R for Data Science: Exercise Solutions - Author: Jeffrey B. Arnold.
• R for Spatial Analysis - Author: Charles DiMaggio, PhD.
• R Language for Programmers - Author: John Cook.
• R Packages - Author: Hadley Wickham.
• R Programming for Data Science - Author: Roger Peng.
• R Programming Tutorial - Author: Data & Tools.
• R programming Wikibook - Author: WikiBooks.
• Statistical Inference via Data Science - Authors: Chester Ismay and Albert Y. Kim.
• Text Mining with R - Authors: Julia Silge and David Robinson.
• The Art of R Programming - Author: Norman Matloff.
• The Caret Package - Author: Max Kuhn.
• The R Inferno - Author: Patrick Burns.
• The R Language - By the Authors of R.
• The Tidyverse Cookbook - Edited by Garrett Grolemund.
• YaRrr! The Pirates Guide to R - Author: Nathaniel Phillips.

实践社区

• TidyTuesday - TidyTuesday is a weekly data project aimed at the R ecosystem with an emphasis placed on understanding how to summarize and arrange data to make meaningful charts.

Podcasts

• Not so Standard Deviations - By Roger Peng and Hilary Parker.
• The R-Podcast - By Eric Nantz.

YouTube

• Andrew Couch - YouTube channel created by Andrew Couch.
• Ben Stenhaug - YouTube channel created by Ben Stenhaug.
• Colin Quirk - YouTube channel created by Colin Quirk.
• Data Analysis and Visualization Using R - YouTube channel created by David Robinson.
• Data Science with Tom - YouTube channel created by Tom.
• David Jablonski - YouTube channel created by David Jablonski.
• David Robinson - YouTube channel created by David Robinson.
• Dragonfly Statistics - YouTube channel created by Kevin O'Brien.
• Julia Silge - YouTube channel created by Julia Silge.
• Karandeep Singh - YouTube channel created by Karandeep Singh.
• Lander Analytics - YouTube channel created by Jared Lander.
• Numyard - YouTube channel created by the folks at Numyard.
• Richard Webster - YouTube channel created by Richard Webster.
• Roger Peng - YouTube channel created by Roger Peng.
• Ronak Shah - YouTube channel created by Ronak Shah.
• Simplilearn - YouTube channel created by the folks at Simplilearn.
• Statistics Globe - YouTube channel created by Joachim Schork.
• StatQuest with Josh Starmer - YouTube channel created by Josh Starmer.
• TidyX - YouTube channel created by Ellis Hughes and Patrick Ward.

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