Although I’ve clubbed all of these resources under the R category, some of them are more about statistics/machine learning and not about R. While I haven’t explored all of them in detail, many of them have been useful to me. They are in no particular order and there are many more. Please contact me with any additional ones you’d like included.

- R Project http://www.r-project.org/

# Point-and-click Interfaces

Two different point-and-click interfaces - Deducer and R Commander (There are others as well, but for beginners, these might be the route to take.)

- Deducer (Software download + manuals)
- Intro to Deducer on Youtube
- Ian Fellows on
- Deducer vs R Commander
- Paper on Deducer comparing itself to R commander and other available GUIs
- John Fox’s notes for installing R Commander
- John Fox’s manual for getting started with R Commander
- Karp (2010)’s introduction to R Commander
- Introduction to R and R Commander by Gutermuth (2010)
- Theresa A Scott’s presentation introducing R commander
- Two video introductions to R Commander are available on Youtube :Part 1 and Part 2.
- A morecomprehensive playlist of R Commander usage on Youtube
- Murtaza Haider:Importance of stats and videos on R and R commander
- R Commander -IPSUR package

# Others

- Sharon Machlis’ (Computer World magazine) 60+ R resources
Sharon Machlis’ Beginner’s guide to R

Intro to Statistical Programming in R - Tutorial for beginners: https://www.teamleada.com/tutorials/introduction-to-statistical-programming-in-r

Course from edX: Explore Statistics with R

Rob Kabacoff: Quick R

Jarrett Byrnes: A Quick and Dirty Intro to doing statistics with R

William King: R Tutorials

R Tutorials - Twotorials

Mark Gardener: Using R for statistical analysis

Chi Yau: Elementary Statistics with R

Robert Muenchen: R for statistics (author of how R can be used by SAS/SPSS users)

Winston Chang: Cookbook for R

Jonathan Baron: Notes on R for the use of psychological experiments and questionnaires

William Revelle: Psychometric Theory with applications in R

Wikibook on R Programming

Tuimela and Greco: A presentation of basic statistics using R

Listing of free books at R Statistics Blog: http://www.r-statistics.com/tag/ebook/

Jenifer Larson-Hall: A Guide to Doing Statistics in Second Language Using R

Paul Johnson’s Collection on tips for R more—- Rock Chalk, Jayhawk!!! :-)

Hastie, Tibshirani, and Friedman: Elements of Statistical Learning

Venables, Smith, and the R Core team: Book/Manual -Intro to R

John Verzani: Using R for introductory statistics

John Verzani’scompanion website to book

Yanchang Zhao: R Datamining

Videos: Roger Peng: Computing for Data Analysis using R, Course from Coursera - Videos on Youtube

Cosma Shalizi: Advanced Data Analysis from an Elementary Point of View

OpenIntro Statistics: Free textbook for introductory statistics (using R)

Max Welling: A First Encounter with Machine Learning

KD Nuggets: http://www.kdnuggets.com/

# Graphics

- From this blog: Base R versus ggplot2 versus rCharts
- ggplot2 site: ggplot2 versus lattice
- Pugh and Nicholls: ggplot2 versus lattice
- ggplot2
- R Graphical Manual
- Winston Chang’s R Graphics Cookbook
- Basel Institute for Clinical Epidemiology and Biostatistics: ggplot2 handout
- Noam Ross: Quick introduction to ggplot
- R4Statson ggplot
- Graham Williams on ggplot: http://onepager.togaware.com/GGPlot2.pdf
- ggplot2 on stackoverflow
- rCharts and its gallery
- Latticist
- Lattice to ggplot2 conversion
- Robert Cribbie’s Introduction to graphics in R
- Thomas Girke: Graphics and Data visualization in R
Frank McCown: Producing Simple Graphs in R

Data Visualization- Edward Tufte

Functional Art - Alberto Cairo

Blog on visualization: http://vizualize.tumblr.com/

Longer list of blogs on data and visualization: http://flowingdata.com/2012/04/27/data-and-visualization-blogs-worth-following/

Visual literacy:periodic table

Chart suggestions from Andrew Abela: http://www.extremepresentation.com/design/charts/

Andrew Pandre’s site for some colored versions of suggested charts

dplyr tutorials: http://bit.ly/dplyr-tutorial https://www.youtube.com/watch?v=jWjqLW-u3hc&feature=youtu.be http://decisionsandr.blogspot.com/2014/06/dplyr-tutorial-with-baseball-data.html

Plyr to dplyr: http://jimhester.github.io/plyrToDplyr/

ggplot to ggvis tutorial: http://jimhester.github.io/ggplot2ToGgvis/

# R Search Engines and other bloggers

- http://www.dangoldstein.com/search_r.html
- http://www.rseek.org/
- R Function finders: http://biostat.mc.vanderbilt.edu/s/finder/finder.html
- R Bloggers: http://www.r-bloggers.com/
- Statsblog: http://www.statsblogs.com/
- Gaston Sanchez
- R enthusiast - graphics and more:http://blog.r-enthusiasts.com/
- Simply Statistics:http://simplystatistics.org/
- Francis Smart: http://www.econometricsbysimulation.com/
- Marcus Beck: http://beckmw.wordpress.com/
- Jo-fai Chow’sresource site
- Kai Xin’s resource site:Whizage