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 Exercises [.doc, .pdf] (R script file)

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

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

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

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

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

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

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

Game of Life for the Special Exercise [.doc, .pdf]. This is a more in-depth programming problem, for you to try on Tuesday night. This session's slides should help with the Exercise, we'll discuss some other approaches in the final session. To help/inspire you, here are;

• 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 Gospel Glider Gun, as a text file - so you can use read.table() to bring it into R.

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

Session 10 , The End! No exercises for this session

• Script file for the Special Exercise
• An animated GIF showing the Game of Life
• 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

For easier searching, here are all the slides in one document (PDF).

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.txt
• lawschool.txt
• mammals.txt
• othercrab.csv
• salary.txt
• titanic.txt
• 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]