Managing Global Resources for a Secure Future

Ticket Required to Attend: The open-source programming language and development environment R has gained increased acceptance by researchers in the Tri-societies as a statistical software environment and tool. Cutting edge statistical analysis often requires tools not yet available in commercial software packages and R packages containing these tools are one solution to such problems. But R can also be useful for more mundane tasks such as plotting, manuscript writing, or data warehousing. In this 4-hr hands-on workshop we will teach you how to use R Studio and R Markdown to perform reproducible research and integrate data storage, analysis, graphing and plotting, as well as manuscript writing in one tool. In the second part of the workshop we will teach you how to create your own R-package to store the data and meta-data from a research project, which can then be easily distributed and thus be made available to interested parties. Participants are expected to have a basic working knowledge of R and using R packages. They are expected to have R and R Studio installed. One week prior to the workshop, leaders will provide detailed instructions on which additional R packages should be installed before the workshop begins