last updated: 2015-08-29

**References & Most helpful commands**

- Short R Reference Card (PDF) R commands
- Knitr Reference Card
- Advanced R (wiki), Hadley Wickham Programming in R, UC Riverside
- Introduction to R, A First Course in R (PDF), University of Notre Dame
- MATLAB commands in numerical Pythom (NumPY): as well as Octave & R (PDF)
- Numerical Analysis & Statistics: MATLAB, R, NumPy – a side-by-side reference sheet
- data.table:
- data.table intro
- data.table faq

- Exploratory Data Analysis with data.table (videos)
- data.table cheat sheet
- Cheatsheets (Data Wrangling with dplyr & tidyr, R Markdown, Shiny)
- R Documentation
- Resources to help you learn and use R, Institute of Digital Research and Education (idre), UCLA

**Tutorials & Handy packages**

Hands-on dplyr tutorial for faster data manipulation in R Interactive Visualizations From R Using Rcharts rMaps – Interactive Maps from R (github repo) (requires “devtools” from cran)

Using R for Psychological Research – Personality Project, William Revelle

**DataCamp courses**

**Try R by Code School (on codeschool)**

Introduction to R, Leada

**Visualization Packages**

see Assorted links – Data Visualization (**to be published later**)

**Papers**

Tidy Data, Hadley Wickham [PDF]

**Journals**

Big Data & Society – Open-access journal

**Hacks for better ****productivity**

**Sublime and R**

Using Sublime Text 2 for R Using R in Sublime Text 3

**Books**

*Cookbook for R*(formerly*R Cookbook*) {website} {preview} (Amazon)- The Art of R Programming (Amazon)
- R in Action (Amazon; 2nd edition)
- Advanced R (Amazon)
- Practical Data Science with R (Amazon; Manning)
*An Introduction to Statistical Learning with Applications in R*(ISL) {free copy) (Amazon) (for a broad audience incld non-mathematically trained)*The Elements of Statistical Learning: Data Mining, Inference, and Prediction*. (ESL) {free copy} (Amazon) (for the mathematically trained)- Open Intro: Open Intro Statistics, Intro Stat with Randomization and Simulation StatlectThe Digital Textbook – The digital textbook on probability and statistics

**Video (training) courses**

Introduction to Data Science with R, Garrett Grolemund, O’Reilly Media

**Lists of Resources by others**

**Data Science Specialization community site (github repo)**- Geotheory – R links Lab Workshops, New York University – Department of Politics
**The Open Source Data Science Masters – Curriculum for Data Science (github)**

- Statistics for Laboratory Scientists – Some R Resources, Johns Hopkins University

- Using R – other R resources, Alastair Sanderson

**Data Mining**

Scraping Twitter and Web Data Using R – Pablo Barbera

**Numerical Analysis**

- Matrices and matrix computations in R, idre, UCLA
- Numerical & Statistical Analysis, Using R, Alastair Sanderson
- [book] Using R for Numerical Analysis in Science and Engineering, Victor A. Bloomfield, CRC Press
- [book] Introduction to Scientific Programming and Simulation using R, Owen Jones et al., CRC Press
- [package] Numerical Mathematics

**Interoperability**

**Data Sources**

see Assorted links – Data sources (**To be published later**)

If you’d like to contribute to this list, please leave them in the comments below.