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
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.
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.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
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.
We will use the collaborative document for chatting, taking notes, and sharing URLS and code.
Please be sure to complete these surveys before and after the workshop.
|09:00||Pre workshop set up help|
|09:30||Introduction to R and RStudio|
|10:25||Project Management With RStudio|
|13:45||Exploring Data Frames|
|09:00||Creating Publication-Quality Graphics with ggplot2|
|13:30||Data Frame Manipulation with tidyr|
|14:30||Data Frame Manipulation with dplyr|
|15:45||Producing Reports With knitr|
|16:45||Writing good software|