Websites Related to R

When I come across a site related to R that looks like it might be useful (at least for the people I work with), I add it to the list below.

NOTE:

There is no manageable way to keep an up-to-date list of EVERY resource related to R, particularly since the list grows and changes rapidly. This page is intended to list those sites and resources that I've come across that look interesting (to me), or that I've used when training others, or that have come up in conversation with others. Some of these links are lists of R resources that are created by others.

Various

A nice list that is maintained by Harsh Singhal on Twitter can be found at www.twitter.com/links4R.

• This list may also be accessed via a LinkedIn Group "The R Project for Statistical Computing". Here is a link to the discussion thread.

And yet another site with lists of R-related links: http://www.kernel-logic.com/rstuff.html

Another blog list: "9 of the Best Free R Books"

• http://www.linuxlinks.com/article/20130216063859514/9oftheBestFreeRBooks-Part1.html

Another blog list:

• http://ucanalytics.com/blogs/learn-r-12-books-and-online-resources

Ross Ihaka's home page: https://www.stat.auckland.ac.nz/~ihaka/?Papers_and_Talks

• Ross is one of the original creators of the R statistical computing environment/language. His site has many interesting links related to R.

A Google+ entry from m.devlin on A history of R, in snapshots: Links with extended quotes

• The discussion of R with Bill Venables, following this post by Rich Gillin, prompted me to look at how and why R exists, what it's good for, and what its future might be.

• https://plus.google.com/112314610303280752840/posts/Q5HGA82Dm3D

And before "R" there was "S"?

• See "A Brief History of S"

Article "How The Rise Of The "R" Computer Language Is Bringing Open Source To Science" by Tina Amirtha from www.fastcolabs.com.

• Includes references and links to many utilities for interacting with data on the internet, publishing to the internet, and standardization related to scientific reproducibility.

Other R-related websites

R Project Home Page

• http://www.r-project.org/

R Nabble Help Forum Archive

• http://r.789695.n4.nabble.com

R Seek

• http://www.rseek.org

UCLA IDRE

• https://stats.idre.ucla.edu/r/

Cookbook for R

• http://www.cookbook-r.com/

R Q&A at Stackoverflow

• http://stackoverflow.com/questions/tagged/r

Cerebral Mastication (blog)

• http://gist.github.com/CerebralMastication

The R Journal

• http://journal.r-project.org/

Various books related to R

• http://www.r-project.org/doc/bib/R-books.html

R Manuals on CRAN

• http://cran.r-project.org/manuals.html

CRAN at CMU

• http://lib.stat.cmu.edu/R/CRAN/

• (I prefer the Carnegie-Mellon mirror to those on the west coast; fewer hippies.)

R Packages (CRAN at CMU)

• http://lib.stat.cmu.edu/R/CRAN/web/packages/

R Task Views (CRAN at CMU)

• http://lib.stat.cmu.edu/R/CRAN/web/views/

CRAN Contributed Documents

• http://cran.r-project.org/doc/contrib/

crantastic

• http://crantastic.org/

R Graph Gallery

• http://addictedtor.free.fr/graphiques/allgraph.php?sort=package

R AniWiki

• http://animation.yihui.name

R Task Views

• http://lib.stat.cmu.edu/R/CRAN/web/views/

R Wiki

• http://rwiki.sciviews.org/doku.php

R Wiki list of R-related links

• http://rwiki.sciviews.org/doku.php?id=links:links (another good list of links)

Burns Statistics (see R info)

• http://www.burns-stat.com/

The R Inferno (Burns)

• http://www.burns-stat.com/pages/Tutor/R_inferno.pdf

• http://blogs.discovermagazine.com/neuroskeptic/2010/11/24/the-9-circles-of-scientific-hell/

Hints for the R Beginner (Burns)

• http://www.burns-stat.com/pages/Tutor/hints_R_begin.html

• also at ... http://www.portfolioprobe.com/user-area/some-hints-for-the-r-beginner/

Simple R (printable .pdf)

• http://www.math.csi.cuny.edu/Statistics/R/simpleR

• http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf

• (see also the text Using R for Introductory Statistics)

• [install.packages("UsingR")]

Help for R (Univ. Penn)

• http://finzi.psych.upenn.edu/

R Example Graph Library

• http://www.metaresearch.de/exlib/

R Graphic Manual

• http://bm2.genes.nig.ac.jp/RGM2/index.php?clear=all

Wiki Books (R Programming)

• http://en.wikibooks.org/wiki/R_Programming

SciViews for R

• http://www.sciviews.org/SciViews-R/

R Forge

• http://r-forge.r-project.org/

Using R for Statistical Analyses

• http://www.gardenersown.co.uk/Education/Lectures/R/index.htm

Quick-R

• http://www.statmethods.net/index.html

R in Finance

• http://www.rinfinance.com/

Rmetrics

• http://www.rmetrics.org

(RA) Revolution Analytics

• http://www.revolutionanalytics.com

(RA) Inside-R

• http://ww.inside-R.org A collection of online resources for the R Community.

Tcl/Tk Examples (J. Wettenhall)

• http://bioinf.wehi.edu.au/~wettenhall/RTclTkExamples/

Chicago R User Group

• http://www.meetup.com/ChicagoRUG/

iGraph

• http://igraph.sourceforge.net/

R-statistics Blog

• http://www.r-statistics.com/

R Cookbook

• http://www.r-cookbook.com

Learning R

• http://learnr.wordpress.com/

R bloggers (R blog aggregation)

• http://www.r-bloggers.com/

Cheat sheets for R

• http://devcheatsheet.com/tag/r/

IPSUR *

• http://ipsur.r-forge.r-project.org/book/index.php

• (* Introduction to Probability and Statistics Using R --- free book)

SentimentMining

• http://sentimentmining.net/StatisticsWithR (R how-to videos)

Quantmod

• http://www.quantmod.com

Red R

• http://www.red-r.org (visual programming for R; similar to visual data-mining tools)

Zelig

• http://gking.harvard.edu/zelig/

Rweb

• http://www.math.montana.edu/Rweb/

Intro to R Stat Computing Env

• http://socserv.mcmaster.ca/jfox/Courses/R-course/index.html (course by John Fox, McMaster University)

Data Visualization

• http://www.datavis.ca/R/ (Michael Friendly)

Statistical Analysis with R

• http://link.packtpub.com/or7f1u (book from Packt Publishing website by John M. Quick)

R Tutorial Series blog

• http://rtutorialseries.blogspot.com (by John M. Quick)

R Tutorial - An R Introduction to Statistics (by Chi Yau)

• http://www.r-tutor.com/r-introduction

Using R for biomedical stats

• http://a-little-book-of-r-for-biomedical-statistics.readthedocs.org/

• ("A Little Book of R for Biomedical Statistics") (mostly focused on cohort and case-control studies)

Tutorials for R

• http://www.cyclismo.org/tutorial/R/index.html

ebook on R

• http://oreilly.com/catalog/9781449303235 "25 Recipes for Getting Started with R"

Data Mining with R

• http://www.liaad.up.pt/~ltorgo/DataMiningWithR/

R and Data Mining

• http://cran.r-project.org/doc/contrib/Zhao_R_and_data_mining.pdf

R for data mining applications

• http://www.rdatamining.com/

R info for SAS SPSS Stata

• http://r4stats.com/

Financial Risk Forecasting

• http://www.financialriskforecasting.com/ (book by Jon Danielsson at www.jondan.org)

sqldf home page

• http://sqldf.googlecode.com (an open source database system similar to MySQL; very useable with R)

R time series references

• R Functions for Time Series Analysis

How to meet the R Gurus

• http://yihui.name/en/2010/04/rules-of-thumb-to-meet-r-gurus-in-the-help-list/

R and S-Plus in Finance blog

• http://www.mathfinance.cn/category/rsplus/ Quant [Quantitative Finance]

R for Matlab and Octave Users

• http://mathesaurus.sourceforge.net/octave-r.html

Matlab / R Reference

• http://cran.r-project.org/doc/contrib/Hiebeler-matlabR.pdf

College of the Redwoods Math

• http://msenux.redwoods.edu/math/R/ (Math Dept - Using R in Statistics)

Statistics With R

• http://zoonek2.free.fr/UNIX/48_R/all.html

• by (Vincent Zoonekynd - Statistician and Computer Scientist Quantitative Finance)

Structural Equation Modelling

• http://pairach.com/2011/08/13/r-packages-for-structural-equation-model/

Visual Programming for R

• http://www.red-r.org/ (Red-R)

Learn & Do R data analysis

• http://cloudstat.org/

R and Statistics (tutorials)

• http://www.agr.kuleuven.ac.be/vakken/statisticsbyR/

blog "All Things R"

• http://allthingsr.blogspot.in/

R for Work

• http://rforwork.info/

R tips (freefaculty.org)

• http://pj.freefaculty.org/R/Rtips.html

Georgia R School (online)

• http://georgia-r-school.org (paid access)

Johns Hopkins (online)

• https://www.coursera.org/course/compdata (paid access)

R Data Sets

• http://vincentarelbundock.github.com/Rdatasets/

Practical Regression and Anova using R

• http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf

RSPLIDA (SPLIDA for R)

• http://www.public.iastate.edu/~stat533

One Page R

• http://onepager.togaware.com/

• A compendium of modules weaving together a collection of tools for the data miner, data scientist, and decision scientist, based on R.

Jared Knowles' R-Bootcamp

• http://jaredknowles.com/r-bootcamp/

60+ R Resources

• http://www.computerworld.com/s/article/9239799/60_R_resources_to_improve_your_data_skills

Dmitry Grapov Teaching Demos

• https://github.com/dgrapov/TeachingDemos

Blog for R programming tips

• http://www.avrahamadler.com/2014/01/15/r-programming-tips

Computer World list of R resources

• http://www.computerworld.com/s/article/9239799/60_R_resources_to_improve_your_data_skills

Statistics With Interactive R Learning (swirl)

• http://swirlstats.com/

R Tutorial Level 0 for beginners

• http://galyardt.myweb.uga.edu/Papers/RTutorial-Level0.pdf

One Page R: A Survival Guide to Data Science with R (by Togaware)

R Style Guide

• http://4dpiecharts.com/r-code-style-guide

Vectorization in R

• http://www.noamross.net/blog/2014/4/16/vectorization-in-r--why.html

Need data? Here's a tutorial on using the Rdatamarket package to import public datasets into R.

If you need a statistics primer on using R, free books on multivariate analysis, biomedical statistics, and time series are available for download.

DataCamp - R training resource

• www.datacamp.com

• An interactive learning platform for R and data science

• Also see their side-projects rdocumentation.org and r-fiddle.org.

• Free introductory R course at https://www.datacamp.com/courses/introduction-to-r.

• Full list of our courses at https://www.datacamp.com/courses.

R hosted online (in the "cloud")

StatAce (R hosted online)

• http://statace.com

RStudio on AWS

• http://www.louisaslett.com/RStudio_AMI/

• http://www.r-bloggers.com/rstudio-in-the-cloud-for-dummies/

R Cloud Workbench

• Remote access to R/Bioconductor on EBI's 64-bit Linux Cluster

• http://www.ebi.ac.uk/Tools/rcloud/

Online video tutorials

www.lynda.com (requires subscription)

R Statistics Essential Training

Barton Poulson

Use R to model statistical relationships using its graphs, calculations, tests, and other analysis tools.

5h 59m Intermediate

Up and Running with R

Barton Poulson

Introduces the R statistical processing language, including how to install R, read data from SPSS and spreadsheets, analyze data, and create charts and plots.

2h 25m Beginner

Youtube

• https://www.youtube.com/results?search_query=R+statistics

• Youtube is bursting at the seams with video tutorials on various aspects of R, from beginner to advanced topics.

OtheR

http://math.ucdenver.edu/RTutorial

• R Tutorial Website

• University of Colorado Denver, Department of Mathematical and Statistical Sciences

• "This website contains resources to teach you how to install R along with R packages, create data and upload data into R, run basic analyses and produce simple plots. The focus is for a student in their first statistics course."

• Contains video tutorials and printed materials.

Jeromy Anglim's Blog (check this out!!)

• Videos on Data Analysis with R: Introductory, Intermediate, and Advanced Resources

• Contains numerous links (at least a couple of dozen) to video tutorials on various aspects of R

Online Video Lecture

• I initially thought that this site looked like it had some useful materials, but the popups and website redirects make it nearly (for me) unusable. I don't recommend it, but will list it with this caution.

• http://www.onlinevideolecture.com/mathmatics/economicurtis/r-statistics-software-an-introduction/?course_id=3730

Code School

• https://www.codeschool.com/courses/try-r

• Learn the R programming language for data analysis and visualization. This software programming language is great for statistical computing and graphics.

• Seems to offer a 'preview'. Not sure if this means that eventually they'll want a paid subscription.

• Courses include

LEVEL 1 - R Syntax

LEVEL 2 - Vectors

LEVEL 3 - Matrices

LEVEL 4 - Summary Statistics

LEVEL 5 - Factors

LEVEL 6 - Data Frames

LEVEL 7 - Working With Real-World Data

Sites listed by Revolution Analytics blog

http://blog.revolutionanalytics.com

FlowingData

Modern data visualization

One R Tip A Day

Code examples for graphics and analysis

R Bloggers

Daily news and tutorials about R, contributed by R bloggers worldwide.

R Project group on analyticbridge.com

Community and discussion forum

Statistical Modeling, Causal Inference, and Social Science

Andrew Gelman's statistics blog

The Dataists

Innovative and practical data analysis methodology.

add:

Omegahat

Google Groups

Google Code

R-related groups:

• LinkedIn

• Google Groups

• Nabble

• Twitter

Potential course material:

http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf

http://www.gnuplot.info/

http://www.tkdocs.com/