Materials for the RCC workshop, "Introduction to R for data analysis".

Date: Tuesday, May 1, 2018
Time: 2:00 pm to 4:30 pm
Location: Zar Room, John Crerar Library (OpenStreetMap)
Instructor: Peter Carbonetto

Materials for RCC workshop, "Introduction to R for data analysis", May. 1, 2–4:30p.

The R computing environment has become one of the most important tools in quantitative research, from computational biology to financial modeling. This short workshop will expose participants to the basic elements of R through an analysis of Divvy bike trip data. No previous programming experience is required. The aim is to provide participants with the basic tools to explore the features of R or RStudio on their own, either on the RCC cluster, or on their own computer. This is an introductory level workshop, for users with little or no experience in the topic.

All participants are expected to bring a laptop with a Mac, Linux, or Windows operating system that they have administrative privileges on. An RCC account is helpful, but not required.

• This workshop attempts to apply elements of the Software Carpentry approach. See also this article. Please also take a look at the Code of Conduct, and the license information.

• To generate PDFs of the slides from the R Markdown source, run make slides.pdf in the docs directory. For this to work, you will need to to install the rmarkdown package in R, as well as the packages used in slides.Rmd. For more details, see the Makefile.

• See also the instructor notes.

These materials were developed by Peter Carbonetto at the University of Chicago. Thank you to Matthew Stephens for his support and guidance.