R for Reproducible Scientific Analysis

UFII Room CSE E252

Feb 2-3, 2023

9:00 am - 5:00 pm ET

Instructors: Ali Alruzuq, Dellena Bloom, Cory Brunson, Caitlin Campbell, Philip Chase, Natya Hans, Ke Zhang

Helpers: Christopher Marais, Audrey Smith

General Information

The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Gainesville, FL. Get directions with OpenStreetMap or Google Maps.

When: Feb 2-3, 2023. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email nhans@ufl.edu or develyn.bloom@ufl.edu for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.

Collaborative Notes

We will use the collaborative document for chatting, taking notes, and sharing URLS and code.

Etherpad: https://pad.carpentries.org/2023-02-03-ReproducibleScientificAnalysisinR


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Day 1

Before Pre-workshop survey
09:00 Pre workshop set up help
09:30 Introduction to R and RStudio
10:25 Project Management With RStudio
11:05 Morning Break
11:20 Seeking Help
11:45 Data Structures
12:45 Lunch break
13:45 Exploring Data Frames
14:45 Subsetting Data
15:30 Afternoon break
15:45 Control Flow
16:30 Wrap up
16:40 END