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Software Carpentry: R for Reproducible Scientific Analysis


Lessons will teach novice programmers to write modular code and best practices for using R and RStudio for analyzing scientific data. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach basic principles of scientific computing. Topics include: data structures, subsets, plotting data, vectors, functions, data frames and manipulation, and producing reports. The workshop also teaches the basics of the Unix shell, and version control using Git. Workshop registration will open in September - check back here for details!

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September 19

Tribal Data Drop-in Session

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October 17

Tribal Data Drop-in Session