Resources for Stats 366/256/155

R download resources:

• The R Project for Statistical Computing
• Rstudio Download at bottom of this page
• An Introduction to R (pdf) (html version) an official R intro
• Two minute tutorials on how to install and start using R twotorials.

---

Where can I download R?

• CRAN:Comprehensive R Archive Network: R from cran
• FAQs
• Packages

Some documentation to look at

• R cheatsheets

• Contributed manuals (mostly older)

• See the CRAN multivariate view here

---

Introductions to the use of R

Some good introductions are available through the github sites of Rafa Irizarry and Mike Love’s Introduction to Data Science (HarvardX):

Complete site

• Installing R and RStudio

• Getting started with R and RStudio

• Getting started with R video

• Basics of computing with R for genomics video

• RStudio introduction Video

Other possible resources

• RStudio’s sheetcheats

• Free coursera course on R programming, first two parts

You can also choose to learn R by using R with swirl:

• Learn R with R using swirl modules

• swirl modules

For instance, you can try out the R Programming course in R by typing:

library(swirl)
install_course("R Programming")
swirl()

R Books

• R in a Nutshell (Joseph Adler) Buy it @ Amazon
• ggplot2: Elegant Graphics for Data Analysis (Use R!) Online intro. Book
• Online book: R for Data Science (2ed)
• Advanced R (Chapman & Hall/CRC The R Series) Buy it @ Amazon

---

Some Matrix Algebra lectures

• Gil Strang’s course at MIT.
• Very nice set of notes Matrix cookbook here

About Bayes

A nice overview for the public by Ken Rice (UW)

A book about randomness and Bayes

ggplot2 resources

• By Hadley Wickham: ggplot2 book

• By Cedric Scherer: ggplot2 wizardry Video hands-on tutorial

• By Claus Wilke: Data visualization book

• By Kieran Healey: Visualization for Social Science data

Introduction to Bioconductor

• Carpentries Lesson by Laurent Gatto