This page will feature slides from our sessions, exercises for you to complete, and their solutions (all to follow). Prior to the module, please install up-to-date versions of R and RStudio on the laptop you will use during the summer institute. Both are free.

• R is available from this list of sites.
• RStudio is available here.

Script files are posted following each session; these will contain our R code for the exercises. To make them work on your computer, remember to modify file names and locations appropriately. Also note that many different 'correct' solutions are possible.

Session 1, Introductions, reading in data. Exercises [.docx, .pdf] (R script file)

Session 2, More data summary and using functions. Exercises [.docx, .pdf] (R script file)

Session 3, Plotting functions, and formulas. Exercises [.docx, .pdf] (R script file)

Session 4, Adding features to plots. Exercises [.docx, .pdf] (R script file) ... and a hypnotic old-time plotting machine with no "erase" function

Session 5, Over and over. Exercises [.docx, .pdf] (R script file)

Session 6, More loops, Control Structures, and Bootstrapping. Exercises [.docx, .pdf] (R script file)

Session 7, Fitting models. Exercises [.docx, .pdf] (R script file)

Session 8, Introduction to R packages. Exercises [.docx, .pdf] (R script file)

Session 9, Writing functions. Exercises [.docx, .pdf] (R script file)

• Script files ui.R, server.R and data file for the shiny/salary example. This app is available online
• Shiny's gallery shows much more functionality than we have time to mention

Slides on the Game of Life, for the Special Exercise [.docx, .pdf]. This is a more in-depth programming problem, that is optional. The slides should help with the Exercise. Also;

• The code from the slides, as a .R file
• An animated GIF showing the Game of Life
• Some examples of growth and gliding -- produced in R
• A Gosper Glider Gun, as a text file - so you can use read.table() to bring it into R.


• A script file with solutions, including making animations

For easier searching, here are all the slides and all the exercises, each in one file.

Before trying to read data into your R session, we recommend looking at it first, in a text editor. Is the data comma- or tab-delimited? Does it have a 'header' row containing variable names?

• crab.csv, crab.txt
• lawschool.csv, lawschool.txt
• mammals.csv, mammals.txt
• othercrab.csv
• salary.csv, salary.txt
• titanic.csv, titanic.txt
• titaniclong.csv, titaniclong.txt

• The R site, which includes the Comprehensive R Archive Network (CRAN) of downloads and packages
• A reference card of common R commands (and a slightly longer reference card)
• The R Graphics Gallery has a good selection of examples - most are more complicated than those seen in our slides
• Some R mailing lists - joining the announce list is recommended. CrossValidated is also helpful (but search it before posting)
• The Elements of R course - the next level of programming, oriented for genetics/bioinformatics
• An Advanced R course - also for genetics/bioinformatics
• To change languages, put a .Renviron file in the startup working directory - use en for English, or de, it (To get the working directory, use getwd())

• P. Dalgaard, Introductory Statistics with R: Springer, 2nd Edition 2008 [good if you haven't seen much statistics before, though it uses very simple methods, and doesn't emphasize programming much. There are several other texts at this level]
• Matloff, The Art of R Programming, 2011; goes from introductory programming up to a high level.
• Braun and Murdoch, A First Course in Statistical Programming with R, CUP 2007 [A different emphasis from the other books here, good for those new to programming]