R resources
General
- Mara Averick's blog.
- R for Data Science by Garrett Grolemund and Hadley Wickham.
- R for Data Science: Exercise Solutions by Jeffrey B. Arnold.
- Hands-On Programming with R by Garrett Grolemund.
- The Tidyverse Cookbook by Garrett Grolemund.
- Tidy Evaluation by Lionel Henry and Hadley Wickham.
- Functional Programming by Sara Altman, Bill Behrman, and Hadley Wickham.
- Advanced R by Hadley Wickham.
- Advanced R Solutions by Malte Grosser, Henning Bumann and Hadley Wickham.
- Make your R roar by Purrring by Gavin Fay.
- Geocomputation with R by Robin Lovelace, Jakub Nowosad, Jannes Muenchow.
- R Packages by Hadley Wickham and Jenny Bryan.
- R Cookbook by James Long and Paul Teetor.
- R语言忍者秘笈 by 谢益辉, 肖楠, 坑主三, and 坑主四.
- Stat405: Introduction to Data Analysis (Fall 2012, Rice University) by Hadley Wickham.
- Stat545: Data wrangling, exploration, and analysis with R by Jenny Bryan.
Data Visualization
- ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham.
- 现代统计图形 by 谢益辉, 黄湘云 and 赵鹏.
- Data Visualization: A Practical Approach by Kieran Healy.
- Fundamentals of Data Visualization by Claus Wilke.
- R Graphics Cookbook by Winston Chang.
- The Grammar of {ggplot2}: A graphics framework for elegant plotting in R by Cédric Scherer.
- Plot anything with ggplot1: Part 1 by Thomas Pedersen.
- Plot anything with ggplot2: Part 2 by Thomas Pedersen.
- Optimal qualitative colour palettes by Anton Tsitsulin.
Text Analysis
- Quick Guide to Regex in R by Ben Gorman.
- Text Mining with R: A Tidy Approach by Julia Silge and David Robinson.
- Getting started with stringr for textual analysis in R by Martin Frigaard.
. . .
- Forecasting: Principles and Practice by Rob Hyndman and George Athanasopoulos.
- Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson.
- Introduction to Econometrics with R by Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer.
- Modern Statistics for Modern Biology by Susan Holmes and Wolfgang Huber.
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