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Software Carpentry - R (Social Science dataset) (2 days)

Software Carpentry - R (Social Science dataset) (2 days)

This is an introduction to R designed for participants with no programming experience. These lessons start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting.

IMPORTANT: This workshop is two parts: 10/27/22 and 10/28/22. Attendance at the first session is a prerequisite for the second.

General Information

Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".

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: 114A Ellis Library

When: Thursday October 27 and Friday October 28, 2022. 9:00am - 4:30pm

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 here).

Related LibGuide: Digital Scholarship Resources by Steven Pryor

Dates & Times:
9:00am - 4:30pm, Thursday, October 27, 2022
9:00am - 4:30pm, Friday, October 28, 2022
Location:
114A Ellis Library
Categories:
Software Carpentry

Registration is required. There are 24 seats available.

More Information

Topics covered in this workshop:

  • The Unix Shell
  • Version Control with Git
  • R for Social Scientists

Event Organizer

Profile photo of Steven Pryor
Steven Pryor

Steven Pryor
Digital Scholarship Librarian
University of Missouri Libraries
pryors@missouri.edu