- First you need to download
**R**. It's free and open-source and has become the*lingua franca*for statistical computing. You'll start by going to CRAN, where you can download**R**whether you are running Windows, MacOS, or Linux.

While you can use R in command-line format in the console, you will want to have a good IDE (integreated development environment) for

**R**. Even if you don't know what that means, you'll want it. My choice is RStudio, which you can also download for free.The

**RStudio**folks also provide RPubs, a place for all of us to publish and share our RMarkdown documents. My RPubs page is cmecklin , but not much is there yet.

- Another option, which does go a bit against the ethos of
**reproducible research**, is to use a GUI. There are several such GUIs available for**R**. The one I've used is RCommander, based on the`Rcmdr`

package originally written by John Fox. It has most of what you'd need to get through a course on statistical methods (linear regression, ANOVA, generalized linear models) but your needs will eventually outgrow it and you'll need to do a bit of coding and utilize some of the 4500+ packages that are available. There are a few dozen 'plug-ins' now available that add further functionality to the menus.

An Introdcution to the R Commander. A set of beamer slides for my BIO/MAT 460 class.

Using R & R Commander in Biomathematics Research A set of beamer slides for a BioMAPS workshop.

An Introduction to R for Biomathematics An old PowerPoint for a BioMAPS workshop.

- Workshop on Reproducible Research My workshop on Reproducible Research, presented to the BioMaPS students and others. Mostly cool stuff I've learned from others about R, RStudio, R Markdown, and RR @ UseR! 2012 and USCOTS 2013.

CRAN The Comprehensive R Archive Network

RStudio Your IDE for using R!

- R MarkdownUsing Markdown
- VideoVideo by Yihui Xie on Markdown and
`knitr`

- Reproducible Research Links Lots of links.

Beginner Tips Some tips for R beginners from the Revolution Analytics blog, including some of Roger Peng's Coursera videos.

R-bloggers Assortment of blog articles on statistics using R.

Quick-R Good resources if you are used to SAS or SPSS.

R-related Conferences Info on the useR! conferences, including the one I attended (2012) at Vanderbilt University. It was just after Bonnaroo, a large outdoor conference in Manchester,TN (with camping!) on the musical and comedic arts I attended in 2011 & 2012.

Venables Materials from Bill Venables' short course at the 8th UseR! Conference (as a big .zip file)

RcmdrJohn Fox's R Commander, a GUI for R.

Mailing Lists The various R mailing lists.

Stack Overflow Questions and tags on R from Stack Overflow

UCLA Wonderful R resources from UCLA.

Paradis Emmanuel Paradis' R for Beginners.

Byrnes Jarrett Byrnes' Quick and Dirty Intro to R.

icebreakeR Andrew Robinson's icebreakeR

Arnholt Alan Arnholt's Statistics with R.

Arnholt Alan Arnholt's R Scripts for his classes.

North Texas R Introduction Course from U. of North Texas.

Larson-Hall Jennifer Larson-Hall's guide to R.

Shizuka Dai Shizuka's R Resources.

RTips Paul E. Johnson's RTips.

Rodriguez German Rodriguez's Introducing R.

Zoonekynd Vincent Zoonekynd's Statistics with R.

Burns Patrick Burns' The R Inferno.

Ogle Derek Ogle's stuff.

White/Robinson Homer White and Rebekah Robinson's material from Georgetown College, including the

`tigerstats`

package.Black Kelly Black's R Tutorial

Shalizi Cosma Shalizi's

*Advanced Data Analysis from an Elementary Point of View*Cook John Cook's R Programming for Programmers.

Stodden Victoria Stodden's page about reproducible research.

Zhou R tutorials from Mai Zhou, including beginners' guides in both English and Chinese. I will not vouch for the quality of the Chinese tutorial.

Barry An R tutorial from Adnan Barry in Arabic. I will not vouch for the quality of the Arabic tutorial.

Poker The

`holdem`

package by Frederic Paik Schoenberg. Maybe I'll use it and talk about it at BARGE, a “conference” on applied probability (i.e. poker, other gambling, drinking) held in Las Vegas, NV every year.

CAUSE Consortium for the Advancement of Undergraduate Statistics Education

USCOTS United States Conference on Teaching Statistics, including the one I attended (2013) in Cary, NC

eCOTS Electronic Conference on Teaching Statistics, including the one I attended (2012) from both my office and from my patio overlooking Kentucky Lake

Project MOSAIC Project MOSAIC is a community of educators working to develop a new way to introduce mathematics, statistics, computation and modeling to students in colleges and universities.

JSE Journal of Statistics Education.

RossmanChance Those cool applets from Allen Rossman and Beth Chance.

(Lock)

^{5}StatKey and more from the Locks, the first family of statistics education. Yes, it's mom & dad and their 3 kids.Apiolaza Luis Apiolaza's Thoughts on Teaching Statistics with R.

Rosling/Gapmineder Hans Rosling's Gapminder project. Cool Motion Charts!!! YOu can do them to with the help of R package

`googleVis`

.Harrell Frank Harrell's manual on statistical graphics.

Friendly Michael Friendly's page on data visualization.

Wickham Hadley Wickham's page on

`ggplot2`

and more.Saccilotto Ramon Saccilotto's tutorial for

`ggplot2`

.Xie Yihui Xie's page on animation,

`formatR`

,`knitr`

, RMarkdown, and more.Gesmann Markus Gesmann's blog on

`googleVis`

and more.Vaidyanathan Ramnath Vaidyanathan's repository with

`slidify`

and more.Sarkar Deepayan Sarkar's Introduction to R and

`lattice`

.Murrell Paul Murrell's tutorial on

`lattice`

xkcd There's now an

`xkcd`

package to make those cartoon-style graphics within`ggplot2`

Bolker Ben Bolker's Ecological Models and Data with R.

Stevens Hank Stevens' A Primer of Ecology with R.

Oksanen A tutorial for Jari Oksanen's

`vegan`

package for community ecology.Jost The

`vegetarian`

alternative based on Lou Jost's measures of diversity.Fridley Jason Fridley's Notes for Plant Ecology/Modeling in R.

JSS A special volume of the Journal of Statistical Software on Ecology and Ecological Modelling.

Montana State Montana State's R Labs for Vegetation Ecologists.

NCEAS R Programming Resource Center from the National Center for Ecological Analysis and Synthesis.

Revelle R and Analysis of Variance, from William Revelle at Northwestern University.

Gribble R and Repeated Measures ANOVA, from the Paul Gribble Lab at Western University (Ontario, Canada)

Bates Douglas Bates' book and slides on mixed models with

`lme4`

.Bates on p-values

`lmer`

, p-values, and all that, straight from Douglas Bates regarding p-values and mixed models.Moore Christopher Moore's

`p.values.lmer`

function to compute those pesty p-values for fixed effects in linear mixed models.Gelman Andrew Gelman's Bayesian version of mixed models analysis.

Fox John Fox's Appendix on Linear Mixed Models.

Bliese Paul Bliese's Notes on Multilevel Modeling.

Drager Katie Drager's Novice Guide to Mixed Effects Models.

SS are hard Why the &%#* aren't the SS the same in R as they are in SAS???

Sums of Squares More on Type I/II/III Sums of Squares.

More Sums of Squares A R-help thread on Type I/II/III Sums of Squares.

- Thompson Laura Thompson's Guide to Alan Agresti's book on categorical data analysis.

Sarkar Deepayan Sarkar's Survival Analysis with R.

Crawley Michael Crawley's Survival Analysis with R.

Zhou Mai Zhou's Survival Analysis and Simulation with R.

Martinussen Torben Martinussen's Survival Analysis notes.

Cook Alex Cook's Survival Analysis notes.

Rodriguez German Rodriguez's Survival Analysis notes.

GAMLSS The home of all things GAMLSS (Generalized Additive Models for Location, Scale, and Shape).

Zhukov Yuri Zhukov's Applied Spatial Statistics in R.

Baddeley Adrian Baddeley's open source software & course notes for Spatial Statistics.

Maindonald John Maindonald on Spatial Statistics in R.

GeogR U. of Oregon's Geographic Data Analysis Using R, or

`GeogR`

.Rowlingson Barry Rowlingson's page.

Davenport Notes from Frank Davenport's class.

Gelman Andrew Gelman's page on his various efforts with R, including Stan,

`bmle`

and`arm`

.Carlin Brad Carlin's page on using

`BRugs`

to run OpenBUGS.OpenBUGS OpenBUGS, open-source version of WinBUGS for Bayesian inference Using Gibbs Sampling

Stan Bayesian inference with the No-U-turn Sampler.

Lu Ying Lu's workshop on Introduction to R for Bayesian Statistics

Kruschke John Kruschke's tutorials, course materials, and book.

Suess Dr. (Eric) Suess's page on Probability Simulation and Gibbs Sampling with R.

Suess2 Nice, if a bit old, intro article by Suess and colleagues.

Suess3 Page with articles and R Scripts from one of his classes.

Xi'an Christian Robert's blog.

Pitt Time Series Tutorial from Pitt.

Goettingen Time Series tutorial from Goettingen University.

North Texas Time Series Tutorial from U. of North Texas with a BP stock price before and after the oil spill data set.

R Wisdom Collected R Wisdom, including a funny rant about SAS.

Cook Apparently Computer Scientists Don't Like R as Much as Statisticians Do (John Cook's talk from the 2012 Lang.Next conference).

Morandat A paper by Floreal Morandat, et al. from ECOOP 2012. They don't like R either.

De Mars The R blogosphere responds to AnnMaria De Mars. She said R is an epic fail'. If it is, an awful lot of us are wasting our time and effort.