Register on the workshop website starting 9/11: https://ucla-data-archive.github.io/2020-09-28-ucb-ucla-ucsd/
The goal of this workshop is to teach novice programmers to write modular code and best practices for using R for data analysis.
R for Reproducible Scientific Analysis workshop spread over two days:
- Oct 6, 2020, 9am-noon: R for Reproducible Scientific Analysis
- Oct 7, 2020, 9am-noon: R for Reproducible Scientific Analysis (Cont.)
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.
This workshop is part of a collaborative effort between UCLA, UCSD and UC Berkeley. It is taught in the Carpentries-style by certified instructors.