R and Data Mining: R Resources

R Reference 

• R in a Nutshell: A Desktop Quick Referenece Comprehensive R manual with examples
• RSeek Customized Google search of the R universe
• R Studio Cheatsheets Cheatsheets to help you learn popular R packages
• R Cookbook Provides solutions to common tasks and problems in analyzing data 
• Quick R Basic R reference guide
• R Documentation Documentation for R packages organized by topical domains
• R User Manual Provided by the R Project
• R Reference Card Quick resource for using the R Integrated Help System
• R FAQ Provided by UCLA

R Resource Centers

• Resources for R Provided by UCLA
• R Programming Resource Center provided by the National Center for Ecological Analysis & Synthesis

R Graphics 

• R Graphics Cookbook Provideds solutions and examples for common data visualization tasks
• R Programming/Graphics Wikibook Covers graphics packages: built-in graphics, lattice package,  and ggplot2 package
• Quick R Basic Graphs simple graphics with code examples
• R Graphics Examples provided by UCLA 

Courses, Workshops, and Additional Training

• Tri-I Workshops Tri-Institutional bioinformatics and compuational methods training available to the Weill Cornell Community. A full list of courses is available here
• DataCamp Introduction to R Course aimed at R beginners. No previous experience in programming languages or data science is required.
• R Programming Course offered by Johns Hopkins via Coursera 
• Data Analysis Applied statistics course focusing on data analysis using R offered by Johns Hopkins via Coursera
• CISER Workshops Downloadable computing worshops provided by the Cornell Institute for Social and Economic Research
• RFUN Comprehensive, easy-to-follow tutorials

Tutorials & Video Resources 

• Lynda.com R playlists
• Try R Tutorial from CodeSchool
• R Twotorials Two minute R video tutorials by Anthony Damico
• Introducing R Tutorial by Princeton
• The R Starter Kit Tutorial by UCLA

 Community Help with R

• Stack Overflow Stack exchange network for sharing and getting advice. See also: 
  • R Chat 
  • Newest R FAQ
  • Stack Overflow R resource collection
• R Bloggers R News and Tutorials
• R Mailing Lists Read the instructions and the posting guide before sending questions to mailing list

Explore these guides for even more help and resources

• Data-Intensive Research
• Health Informatics
• Applied Bioinformatics Core