The Code Rigor and Reproducibility with R Boot Camp is a two-day intensive workshop for researchers who are currently using R in their research, focused on diving into strategies to improve research code so it will be more efficient, less likely to harbor hidden bugs, and ready to share as a reproducible documentation of your analysis.By the end of the workshop, participants will be familiar with the following topics:- Fundamentals of how research code can be made rigorous and reproducible- Approaches to tackle messy code, using an editing process to identify bugs and clarify code for human readers- Strategies to use functional programming in R to dramatically improve the efficiency and concision of research code, making it easier to maintain and keep bug-free- How to find and build on existing code examples while maintaining a rigorous and reproducible code base- Basic principles of file system architecture, how to leverage it to structure project files consistently, and how code to this structure- Strategies to develop a personal set of fundamental tools (functions, packages, data structures) as a basis to scale rigorously to larger coding projects- How to prepare data and code to be published as part of a peer-reviewed articleInvestigators at all career stages are welcome to attend, but to get the most out of this workshop, you should have experience in R programming and be actively using R for research.Prerequisites and Requirements: As part of the workshop we will ask you to bring and work on your own research code. There are a few requirements to attend this training:- Experience with R and RStudio required for the Boot Camp. To get the most out of this workshop, it is recommended that you have used R within the context of research projects, rather than only in classroom settings.- Each participant is required to bring a personal laptop as all lab sessions will be done on your personal laptop. Each participant must have R and RStudio downloaded and installed prior to attending the Boot Camp. If you have R or RStudio installed already, but they were installed over a year ago, please install updated versions before the workshop:- Download and install R.- RStudio is an open-source Integrated Development Environment (IDE) for R. Install the free version of the RStudio IDE for your laptop.- Optional: Instructors will provide a basic introduction to git during day 2. If this is something you are interested in, download and install git.Capacity is limited. Paid registration is required to attend.Additional Information:- See website for more details: https://www.publichealth.columbia.edu/academics/non-degree-special-programs/professional-non-degree-programs/skills-health-research-professionals-sharp-training/trainings/code-rigor-reproducibility-r- Email us with any questions: Columbia.RCodeRigor@gmail.com
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