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# R Language Resources

## Get Started With R

Here are three suggestions for absolute beginners.

- An Introduction to R – The free, “official” CRAN R Manual
- Try R – a short course that lets you jump right in
- Computing for Data Analysis – 4 weeks worth of videos from a popular Coursera course

## Consult Some Basic Resources

- Some tips for getting started with R
- Quick-R – many well done, practical examples
- An Introduction to R for Data Mining recorded webinar
- Some online Wikis
- Data Science -- an online, free ebook
- ggplot2 – R’s newest system for creating plots
- RStudio – a free IDE for R
- Getting started with R and Hadoop – resources for the R Hadoop Project
- A guide to Learning Time Series with R
- A tutorial on Elementary Statistics R

## Read a Book

- Books on R listed on Amazon and publications listed on CRAN
- Dozens of Springer titles in the UseR! Series spanning a wide range of applications
- Very practical O’Reilly books on R
- 3 free online books
- Some Favorites:
- R for SAS and SPSS Users -- a recommended book by Robert A. Muenchen.
- The Art of R Programming by Norman Matloff – the top pic for an R programming book
- Data Analysis and Graphics Using R, An Example Based Approach by John MainDonald
- Applied Regression Analysis and Generalized Linear Models by John Fox

## Find R Packages

- CRAN Task Views -- The list of 2000+ add-on packages for R can be daunting, but these Task Views list the most important ones in domain-specific areas as diverse as Finance, Clinical Trials, and Machine Learning.
- Crantastic.org -- On the other hand, if you're looking for a specific page, you can search by keyword at this interactive directory of all R packages. You can also log in and rate and comment on packages.
- rseek – a search engine for R

## Get Help

- R Mailing Lists – Signing up for the R Mailing lists, especially R-help
- StackOverflow -- Got a question about R? Search for questions tagged with "r" and you'll probably find your question already answered. If not, ask away!

## Take a Course

- Statistics.com --lists several R based courses in their catalog
- Coursera – frequently delivers R courses