Calvin College Professor of Mathematics and Statistics, Dept. Chair
R is a “free software environment for statistical computing and graphics.” Designed and supported by and for statisticians and data analysts, R provides a language that is both general purpose and domain specific. Thousands of packages (written by thousands of authors) are available to streamline a vast array of data analysis tasks. This is both a great strength of R and a great challenge to the new user: How does one find and learn the right packages for the task at hand?
This presentation will describe a general principal for building an R toolkit (Less Volume, More Creativity) and introduce an example toolkit using the stats, mosaic, and ggformula packages. This toolkit can get a new user up and running for (group-wise) numerical summaries of data, professional quality graphics, and model fitting in under an hour and continue to grow with the user’s demands for years. The same Less Volume, More Creativity approach can be used to expand the toolkit when necessary and is a good guide for developing your own R tools as well.
Attendees who bring a laptop will be able to “play along” during this presentation. No previous knowledge of R is required — you don’t even have to install R on your machine. A browser is all you need.
— A West Michigan R Users Group session —