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) (R script file)

Session 2, More data summary and using functions (exercises) (R script file)

Session 3, Plotting functions, and formulas (exercises) (R script file)

Session 4, Adding features to plots (exercises) (R script file)

Session 5, Over and over (exercises) (R script file)

Session 6, More loops, Control Structures, and Bootstrapping (exercises) (R script file)

Session 7, Fitting models (exercises) (R script file)

Session 8, Introduction to R packages (exercises) (R script file)

Special Exercise: This is a more in-depth programming problem, for you to try on Tuesday night; we'll discuss it in the final session. Click for some examples of growth and gliding -- produced in R.

Session 9, Writing functions exercises (.docx) (.pdf) (R script file)

Session 10, The End! No exercises for this session - but see this R script file for some ways to implement the Special Exercise. This script contains the fast, vectorized version, output as animated GIFs.

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]